Search

Your search keyword '"P. EXTERMANN"' showing total 635 results
Start Over Author "P. EXTERMANN"
635 results on '"P. EXTERMANN"'

2. Epigenetic aging in older breast cancer survivors and noncancer controls: preliminary findings from the Thinking and Living with Cancer Study.

Author

Rentscher, Kelly, Bethea, Traci, Zhai, Wanting, Small, Brent, Zhou, Xingtao, Ahles, Tim, Ahn, Jaeil, Breen, Elizabeth, Cohen, Harvey, Extermann, Martine, Graham, Deena, Jim, Heather, McDonald, Brenna, Nakamura, Zev, Patel, Sunita, Root, James, Saykin, Andrew, Van Dyk, Kathleen, Mandelblatt, Jeanne, and Carroll, Judith

Subjects
DNA methylation, biological aging, breast cancer, cognitive function, epigenetic clock, older adults, physical function, Female, Humans, Aged, Infant, Cancer Survivors, Breast Neoplasms, Aging, Survivors, Epigenesis, Genetic, DNA Methylation
Abstract

BACKGROUND: Cancer and its treatments may accelerate aging in survivors; however, research has not examined epigenetic markers of aging in longer term breast cancer survivors. This study examined whether older breast cancer survivors showed greater epigenetic aging than noncancer controls and whether epigenetic aging related to functional outcomes. METHODS: Nonmetastatic breast cancer survivors (n = 89) enrolled prior to systemic therapy and frequency-matched controls (n = 101) ages 62 to 84 years provided two blood samples to derive epigenetic aging measures (Horvath, Extrinsic Epigenetic Age [EEA], PhenoAge, GrimAge, Dunedin Pace of Aging) and completed cognitive (Functional Assessment of Cancer Therapy-Cognitive Function) and physical (Medical Outcomes Study Short Form-12) function assessments at approximately 24 to 36 and 60 months after enrollment. Mixed-effects models tested survivor-control differences in epigenetic aging, adjusting for age and comorbidities; models for functional outcomes also adjusted for racial group, site, and cognitive reserve. RESULTS: Survivors were 1.04 to 2.22 years biologically older than controls on Horvath, EEA, GrimAge, and DunedinPACE measures (p = .001-.04) at approximately 24 to 36 months after enrollment. Survivors exposed to chemotherapy were 1.97 to 2.71 years older (p = .001-.04), and among this group, an older EEA related to worse self-reported cognition (p = .047) relative to controls. An older epigenetic age related to worse physical function in all women (p

Published
2023

3. Plasma levels of interleukin-6 mediate neurocognitive performance in older breast cancer survivors: The Thinking and Living With Cancer study.

Author

Mandelblatt, Jeanne, Small, Brent, Zhou, Xingtao, Nakamura, Zev, Cohen, Harvey, Ahles, Tim, Ahn, Jaeil, Bethea, Traci, Extermann, Martine, Graham, Deena, Isaacs, Claudine, Jacobsen, Paul, Jim, Heather, McDonald, Brenna, Patel, Sunita, Rentscher, Kelly, Root, James, Saykin, Andrew, Tometich, Danielle, Van Dyk, Kathleen, Zhai, Wanting, Breen, Elizabeth, and Carroll, Judith

Subjects
breast cancer, cancer-related cognitive decline, cognition, immune activation, inflammation, older survivors, Aged, Female, Humans, Middle Aged, Biomarkers, Breast Neoplasms, Cancer Survivors, Cognition, Hominidae, Interleukin-10, Interleukin-6, Tumor Necrosis Factor-alpha
Abstract

BACKGROUND: Immune activation/inflammation markers (immune markers) were tested to explain differences in neurocognition among older breast cancer survivors versus noncancer controls. METHODS: Women >60 years old with primary breast cancer (stages 0-III) (n = 400) were assessed before systemic therapy with frequency-matched controls (n = 329) and followed annually to 60 months; blood was collected during annual assessments from 2016 to 2020. Neurocognition was measured by tests of attention, processing speed, and executive function (APE). Plasma levels of interleukin-6 (IL-6), IL-8, IL-10, tumor necrosis factor α (TNF-α), and interferon γ were determined using multiplex testing. Mixed linear models were used to compare results of immune marker levels by survivor/control group by time and by controlling for age, racial/ethnic group, cognitive reserve, and study site. Covariate-adjusted multilevel mediation analyses tested whether survivor/control group effects on cognition were explained by immune markers; secondary analyses examined the impact of additional covariates (e.g., comorbidity and obesity) on mediation effects. RESULTS: Participants were aged 60-90 years (mean, 67.7 years). Most survivors had stage I (60.9%) estrogen receptor-positive tumors (87.6%). Survivors had significantly higher IL-6 levels than controls before systemic therapy and at 12, 24, and 60 months (p ≤ .001-.014) but there were no differences for other markers. Survivors had lower adjusted APE scores than controls (p

Published
2023

4. Data Models for Dataset Drift Controls in Machine Learning With Optical Images

Author

Oala, Luis, Aversa, Marco, Nobis, Gabriel, Willis, Kurt, Neuenschwander, Yoan, Buck, Michèle, Matek, Christian, Extermann, Jerome, Pomarico, Enrico, Samek, Wojciech, Murray-Smith, Roderick, Clausen, Christoph, and Sanguinetti, Bruno

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition
Abstract

Camera images are ubiquitous in machine learning research. They also play a central role in the delivery of important services spanning medicine and environmental surveying. However, the application of machine learning models in these domains has been limited because of robustness concerns. A primary failure mode are performance drops due to differences between the training and deployment data. While there are methods to prospectively validate the robustness of machine learning models to such dataset drifts, existing approaches do not account for explicit models of the primary object of interest: the data. This limits our ability to study and understand the relationship between data generation and downstream machine learning model performance in a physically accurate manner. In this study, we demonstrate how to overcome this limitation by pairing traditional machine learning with physical optics to obtain explicit and differentiable data models. We demonstrate how such data models can be constructed for image data and used to control downstream machine learning model performance related to dataset drift. The findings are distilled into three applications. First, drift synthesis enables the controlled generation of physically faithful drift test cases to power model selection and targeted generalization. Second, the gradient connection between machine learning task model and data model allows advanced, precise tolerancing of task model sensitivity to changes in the data generation. These drift forensics can be used to precisely specify the acceptable data environments in which a task model may be run. Third, drift optimization opens up the possibility to create drifts that can help the task model learn better faster, effectively optimizing the data generating process itself. A guide to access the open code and datasets is available at https://github.com/aiaudit-org/raw2logit., Comment: Published as a journal paper in the Transactions on Machine Learning Research 2023 (TMLR) available at https://openreview.net/forum?id=I4IkGmgFJz

Published
2022

5. Elevated C-Reactive Protein and Subsequent Patient-Reported Cognitive Problems in Older Breast Cancer Survivors: The Thinking and Living With Cancer Study.

Author

Carroll, Judith, Nakamura, Zev, Small, Brent, Zhou, Xingtao, Cohen, Harvey, Ahles, Tim, Ahn, Jaeil, Bethea, Traci, Extermann, Martine, Graham, Deena, Isaacs, Claudine, Jim, Heather, Jacobsen, Paul, McDonald, Brenna, Patel, Sunita, Root, James, Saykin, Andrew, Tometich, Danielle, Van Dyk, Kathleen, Zhai, Wanting, Breen, Elizabeth, Mandelblatt, Jeanne, and Rentscher, Kelly

Subjects
Female, Humans, Aged, Middle Aged, Cancer Survivors, C-Reactive Protein, Breast Neoplasms, Cognition, Patient Reported Outcome Measures
Abstract

PURPOSE: To examine longitudinal relationships between levels of C-reactive protein (CRP) and cognition in older breast cancer survivors and noncancer controls. METHODS: English-speaking women age ≥ 60 years, newly diagnosed with primary breast cancer (stage 0-III), and frequency-matched controls were enrolled from September 2010 to March 2020; women with dementia, neurologic disorders, and other cancers were excluded. Assessments occurred presystemic therapy/enrollment and at annual visits up to 60 months. Cognition was measured using the Functional Assessment of Cancer Therapy-Cognitive Function and neuropsychological testing. Mixed linear effect models tested for survivor-control differences in natural log (ln)-transformed CRP at each visit. Random effect-lagged fluctuation models tested directional effects of ln-CRP on subsequent cognition. All models controlled for age, race, study site, cognitive reserve, obesity, and comorbidities; secondary analyses evaluated if depression or anxiety affected results. RESULTS: There were 400 survivors and 329 controls with CRP specimens and follow-up data (average age of 67.7 years; range, 60-90 years). The majority of survivors had stage I (60.9%), estrogen receptor-positive (87.6%) tumors. Survivors had significantly higher adjusted mean ln-CRP than controls at baseline and 12-, 24-, and 60-month visits (all P < .05). Higher adjusted ln-CRP predicted lower participant-reported cognition on subsequent visits among survivors, but not controls (P interaction = .008); effects were unchanged by depression or anxiety. Overall, survivors had adjusted Functional Assessment of Cancer Therapy-Cognitive Function scores that were 9.5 and 14.2 points lower than controls at CRP levels of 3.0 and 10.0 mg/L. Survivors had poorer neuropsychological test performance (v controls), with significant interactions with CRP only for the Trails B test. CONCLUSION: Longitudinal relationships between CRP and cognition in older breast cancer survivors suggest that chronic inflammation may play a role in development of cognitive problems. CRP testing could be clinically useful in survivorship care.

Published
2023

6. Depressive symptom trajectories in older breast cancer survivors: the Thinking and Living with Cancer Study

Author

Nakamura, Zev M., Small, Brent J., Zhai, Wanting, Ahles, Tim A., Ahn, Jaeil, Artese, Ashley L., Bethea, Traci N., Breen, Elizabeth C., Cohen, Harvey J., Extermann, Martine, Graham, Deena, Irwin, Michael R., Isaacs, Claudine, Jim, Heather S.L., Kuhlman, Kate R., McDonald, Brenna C., Patel, Sunita K., Rentscher, Kelly E., Root, James C., Saykin, Andrew J., Tometich, Danielle B., Van Dyk, Kathleen, Zhou, Xingtao, Mandelblatt, Jeanne S., and Carroll, Judith E.

Published
2023
Full Text
View/download PDF

7. Artifacts in optical projection tomography due to refractive index mismatch: model and correction

Author

Liu, Yan, Dong, Jonathan, Schmidt, Cédric, Boquet-Pujadas, Aleix, Extermann, Jérôme, and Unser, Michael

Subjects
Physics - Optics, Electrical Engineering and Systems Science - Image and Video Processing, Physics - Medical Physics
Abstract

Optical Projection Tomography (OPT) is a powerful tool for 3D imaging of mesoscopic samples, thus of great importance to image whole organs for the study of various disease models in life sciences. OPT is able to achieve resolution at a few tens of microns over a large sample volume of several cubic centimeters. However, the reconstructed OPT images often suffer from artifacts caused by different kinds of physical miscalibration. This work focuses on the refractive index (RI) mismatch between the rotating object and the surrounding medium. We derive a 3D cone beam forward model to approximate the effect of RI mismatch and implement a fast and efficient reconstruction method to correct the induced seagull-shaped artifacts on experimental images of fluorescent beads.

Published
2021
Full Text
View/download PDF

8. Geriatric assessment for older people with cancer: policy recommendations

Author

Seghers, P. A. L., Alibhai, Shabbir M. H., Battisti, Nicolò Matteo Luca, Kanesvaran, Ravindran, Extermann, Martine, O’Donovan, Anita, Pilleron, Sophie, Mislang, Anna Rachelle, Musolino, Najia, Cheung, Kwok-Leung, Staines, Anthony, Girvalaki, Charis, Soubeyran, Pierre, Portielje, Johanneke E. A., Rostoft, Siri, Hamaker, Marije E., Trépel, Dominic, and O’Hanlon, Shane

Published
2023
Full Text
View/download PDF

10. Geriatric assessment for older people with cancer: policy recommendations

Author

P. A. L. Seghers, Shabbir M. H. Alibhai, Nicolò Matteo Luca Battisti, Ravindran Kanesvaran, Martine Extermann, Anita O’Donovan, Sophie Pilleron, Anna Rachelle Mislang, Najia Musolino, Kwok-Leung Cheung, Anthony Staines, Charis Girvalaki, Pierre Soubeyran, Johanneke E. A. Portielje, Siri Rostoft, Marije E. Hamaker, Dominic Trépel, and Shane O’Hanlon

Subjects
Geriatric assessment, Aged, 80 and over, Decision making, Shared, Neoplasms, Public aspects of medicine, RA1-1270
Abstract

Abstract Most cancers occur in older people and the burden in this age group is increasing. Over the past two decades the evidence on how best to treat this population has increased rapidly. However, implementation of new best practices has been slow and needs involvement of policymakers. This perspective paper explains why older people with cancer have different needs than the wider population. An overview is given of the recommended approach for older people with cancer and its benefits on clinical outcomes and cost-effectiveness. In older patients, the geriatric assessment (GA) is the gold standard to measure level of fitness and to determine treatment tolerability. The GA, with multiple domains of physical health, functional status, psychological health and socio-environmental factors, prevents initiation of inappropriate oncologic treatment and recommends geriatric interventions to optimize the patient’s general health and thus resilience for receiving treatments. Multiple studies have proven its benefits such as reduced toxicity, better quality of life, better patient-centred communication and lower healthcare use. Although GA might require investment of time and resources, this is relatively small compared to the improved outcomes, possible cost-savings and compared to the large cost of oncologic treatments as a whole.

Published
2023
Full Text
View/download PDF

11. Quantifying the effect of image compression on supervised learning applications in optical microscopy

Author

Pomarico, Enrico, Schmidt, Cédric, Chays, Florian, Nguyen, David, Planchette, Arielle, Tissot, Audrey, Roux, Adrien, Pagès, Stéphane, Batti, Laura, Clausen, Christoph, Lasser, Theo, Radenovic, Aleksandra, Sanguinetti, Bruno, and Extermann, Jérôme

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Machine Learning, Quantitative Biology - Quantitative Methods
Abstract

The impressive growth of data throughput in optical microscopy has triggered a widespread use of supervised learning (SL) models running on compressed image datasets for efficient automated analysis. However, since lossy image compression risks to produce unpredictable artifacts, quantifying the effect of data compression on SL applications is of pivotal importance to assess their reliability, especially for clinical use. We propose an experimental method to evaluate the tolerability of image compression distortions in 2D and 3D cell segmentation SL tasks: predictions on compressed data are compared to the raw predictive uncertainty, which is numerically estimated from the raw noise statistics measured through sensor calibration. We show that predictions on object- and image-specific segmentation parameters can be altered by up to 15% and more than 10 standard deviations after 16-to-8 bits downsampling or JPEG compression. In contrast, a recently developed lossless compression algorithm provides a prediction spread which is statistically equivalent to that stemming from raw noise, while providing a compression ratio of up to 10:1. By setting a lower bound to the SL predictive uncertainty, our technique can be generalized to validate a variety of data analysis pipelines in SL-assisted fields., Comment: 26 pages, 8 figures

Published
2020

12. Optical imaging of the small intestine immune compartment across scales

Author

Arielle Louise Planchette, Cédric Schmidt, Olivier Burri, Mercedes Gomez de Agüero, Aleksandra Radenovic, Alessio Mylonas, and Jérôme Extermann

Subjects
Biology (General), QH301-705.5
Abstract

A workflow for 3D characterization of the mouse small intestine with optical projection tomography allows the identification of sparsely-distributed regions of interest in large volumes while retaining compatibility with high-resolution microscopy modalities.

Published
2023
Full Text
View/download PDF

13. Association of markers of tumor aggressivity and cognition in women with breast cancer before adjuvant treatment: The Thinking and Living with Cancer Study

Author

Root, James C., Zhou, Xingtao, Ahn, Jaeil, Small, Brent J., Zhai, Wanting, Bethea, Traci, Carroll, Judith E., Cohen, Harvey Jay, Dilawari, Asma, Extermann, Martine, Graham, Deena, Isaacs, Claudine, Jacobsen, Paul B., Jim, Heather, McDonald, Brenna C., Nakamura, Zev M., Patel, Sunita K., Rentscher, Kelly, Saykin, Andrew J., Van Dyk, Kathleen, Mandelblatt, Jeanne S., and Ahles, Tim A.

Published
2022
Full Text
View/download PDF

14. Diet quality indices and changes in cognition during chemotherapy

Author

Crowder, Sylvia L., Welniak, Taylor L., Hoogland, Aasha I., Small, Brent J., Rodriguez, Yvelise, Carpenter, Kristen M., Fischer, Stacy M., Li, Daneng, Kinney, Anita Y., Rotroff, Daniel, Mariam, Arshiya, Brownstein, Naomi, Reich, Richard R., Hembree, Tim, Playdon, Mary C., Arthur, Anna E., Vieytes, Christian AMaino, Li, Zonggui, Extermann, Martine, Kim, Richard, Berry, Donna L., and Jim, Heather S. L.

Published
2023
Full Text
View/download PDF

15. Opening the black box of traumatic brain injury: a holistic approach combining human 3D neural tissue and an in vitro traumatic brain injury induction device

Author

Céline Loussert-Fonta, Luc Stoppini, Yoan Neuenschwander, Ophélie Righini, Denis Prim, Cédric Schmidt, Marc O. Heuschkel, Loris Gomez Baisac, Milica Jovic´, Marc E. Pfeifer, Jérôme Extermann, and Adrien Roux

Subjects
traumatic brain injury, optical projection tomography, 3D neural tissue, multiplex protein assays, biomarkers, electrophysiology, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Traumatic brain injury (TBI) is caused by a wide range of physical events and can induce an even larger spectrum of short- to long-term pathophysiologies. Neuroscientists have relied on animal models to understand the relationship between mechanical damages and functional alterations of neural cells. These in vivo and animal-based in vitro models represent important approaches to mimic traumas on whole brains or organized brain structures but are not fully representative of pathologies occurring after traumas on human brain parenchyma. To overcome these limitations and to establish a more accurate and comprehensive model of human TBI, we engineered an in vitro platform to induce injuries via the controlled projection of a small drop of liquid onto a 3D neural tissue engineered from human iPS cells. With this platform, biological mechanisms involved in neural cellular injury are recorded through electrophysiology measurements, quantification of biomarkers released, and two imaging methods [confocal laser scanning microscope (CLSM) and optical projection tomography (OPT)]. The results showed drastic changes in tissue electrophysiological activities and significant releases of glial and neuronal biomarkers. Tissue imaging allowed us to reconstruct the injured area spatially in 3D after staining it with specific nuclear dyes and to determine TBI resulting in cell death. In future experiments, we seek to monitor the effects of TBI-induced injuries over a prolonged time and at a higher temporal resolution to better understand the subtleties of the biomarker release kinetics and the cell recovery phases.

Published
2023
Full Text
View/download PDF

16. Impact of taxane-based chemotherapy among older women with breast cancer on cognition and quality of life: a longitudinal pooled analysis

Author

Small, Brent J., Lange, Marie, Zhai, Wanting, Ahn, Jaeil, Ahles, Tim A., Carroll, Judith E., Cohen, Harvey J., Graham, Deena, Extermann, Martine, Heutte, Natacha, Jim, Heather S. L., McDonald, Brenna C., Patel, Sunita K., Root, James C., Saykin, Andrew J., Van Dyk, Kathleen, Zhou, Xingtao, Mandelblatt, Jeanne, and Joly, Florence

Published
2022
Full Text
View/download PDF

18. Statistical distortion of supervised learning predictions in optical microscopy induced by image compression

Author

Enrico Pomarico, Cédric Schmidt, Florian Chays, David Nguyen, Arielle Planchette, Audrey Tissot, Adrien Roux, Stéphane Pagès, Laura Batti, Christoph Clausen, Theo Lasser, Aleksandra Radenovic, Bruno Sanguinetti, and Jérôme Extermann

Subjects
Medicine, Science
Abstract

Abstract The growth of data throughput in optical microscopy has triggered the extensive use of supervised learning (SL) models on compressed datasets for automated analysis. Investigating the effects of image compression on SL predictions is therefore pivotal to assess their reliability, especially for clinical use. We quantify the statistical distortions induced by compression through the comparison of predictions on compressed data to the raw predictive uncertainty, numerically estimated from the raw noise statistics measured via sensor calibration. Predictions on cell segmentation parameters are altered by up to 15% and more than 10 standard deviations after 16-to-8 bits pixel depth reduction and 10:1 JPEG compression. JPEG formats with higher compression ratios show significantly larger distortions. Interestingly, a recent metrologically accurate algorithm, offering up to 10:1 compression ratio, provides a prediction spread equivalent to that stemming from raw noise. The method described here allows to set a lower bound to the predictive uncertainty of a SL task and can be generalized to determine the statistical distortions originated from a variety of processing pipelines in AI-assisted fields.

Published
2022
Full Text
View/download PDF

19. Visible spectrum extended-focus optical coherence microscopy for label-free sub-cellular tomography

Author

Marchand, Paul J., Bouwens, Arno, Szlag, Daniel, Nguyen, David, Descloux, Adrien, Sison, Miguel, Coquoz, Séverine, Extermann, Jérôme, and Lasser, Theo

Subjects
Physics - Biological Physics, Physics - Optics
Abstract

We present a novel extended-focus optical coherence microscope (OCM) attaining 0.7 {\mu}m axial and 0.4 {\mu}m lateral resolution maintained over a depth of 40 {\mu}m, while preserving the advantages of Fourier domain OCM. Our method uses an ultra-broad spectrum from a super- continuum laser source. As the spectrum spans from near-infrared to visible wavelengths (240 nm in bandwidth), we call the method visOCM. The combination of such a broad spectrum with a high-NA objective creates an almost isotropic 3D submicron resolution. We analyze the imaging performance of visOCM on microbead samples and demonstrate its image quality on cell cultures and ex-vivo mouse brain tissue., Comment: 15 pages, 7 figures

Published
2017

20. A simple test‐based frailty index to predict survival among cancer patients with an unplanned hospitalization: An observational cohort study

Author

Timothy Hembree, Olga Theou, Sarah Thirlwell, Richard R. Reich, Biwei Cao, Marina Sehovic, Misbahuddin Syed, Neha Verma, Thu‐Cuc Nguyen, Dinesh Keerty, Jaqueline Wesolow, Viktoriya Koverzhenko, Martine Extermann, Jessica Huang, and Asha Ramsakal

Subjects
frailty, hospital mortality, hospitalization, inpatients, patient readmission, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Background Frailty is a state of increased vulnerability to stressors, and predicts risk of adverse outcomes, such as mortality. Frailty can be defined by a frailty index (FI) using an accumulation of deficits approach. An FI comprised of 20 items derived from our previously studied test‐based frailty index (TBFI) and an additional 33 survey‐based elements sourced from the standard CGA was developed to evaluate if predictive validity of survival was improved. Methods One hundred eighty‐nine cancer patients during acute hospitalization were consented between September 2018 and May 2019. Frailty scores were calculated, and patients were categorized into four groups: non‐frail (0–0.2), mildly frail (0.2–0.3), moderately frail (0.3–0.4), and severely frail (>0.4). Patients were followed for 1‐year to assess FI and TBFI prediction of survival. Area under the curve (AUC) statistics from ROC analyses were compared for the FI versus TBFI. Results Increasing frailty was similarly associated with increased risk of mortality (HR, 4.5 [95% CI, 2.519–8.075] and HR, 4.1 [95%CI, 1.692–9.942]) and the likelihood of death at 6 months was about 11‐fold (odds ratio, 10.9 [95% CI, 3.97–33.24]) and 9.73‐fold (95% CI, 2.85–38.50) higher for severely frail patients compared to non‐frail patients for FI and TBFI, respectively. This association was independent of age and type of cancer. The FI and TBFI were predictive of survival for older and younger cancer patients with no significant differences between models in discriminating survival (FI AUC, 0.747 [95% CI, 0.6772–0.8157] and TBFI AUC, 0.724 [95% CI, 0.6513–0.7957]). Conclusions The TBFI was predictive of survival, and the addition of an in‐person assessment (FI) did not greatly improve predictive validity. Increasing frailty, as measured by a TBFI, resulted in a meaningfully increased risk of mortality and may be well‐suited for screening of hospitalized cancer patients.

Published
2021
Full Text
View/download PDF

22. Predicting survival in cancer patients with and without 30‐day readmission of an unplanned hospitalization using a deficit accumulation approach

Author

Timothy N. Hembree, Sarah Thirlwell, Richard R. Reich, Smitha Pabbathi, Martine Extermann, and Asha Ramsakal

Subjects
cancer, clinical documentation, deficit‐accumulation index, late‐stage cancer, survival, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Background For cancer patients with an unplanned hospitalization, estimating survival has been limited. We examined factors predicting survival and investigated the concept of using a deficit‐accumulation survival index (DASI) in this population. Methods Data were abstracted from medical records of 145 patients who had an unplanned 30‐day readmission between 01/01/16 and 09/30/16. Comparison data were obtained for patients who were admitted as close in time to the date of index admission of a study patient, but who did not experience a readmission within 30 days of their discharge date. Our survival analysis compared those readmitted within 30 days versus those who were not. Scores from 23 medical record elements used in our DASI system categorized patients into low‐, moderate‐, and high‐score groups. Results Thirty‐day readmission was strongly associated with the survival (adjusted hazard ratio [HR] 2.39; 95% confidence interval [CI], 1.46‐3.92). Patients readmitted within 30 days of discharge from index admission had a median survival of 147 days (95% CI, 85‐207) versus patients not readmitted who had not reached median survival by the end of the study (P

Published
2019
Full Text
View/download PDF

23. The Teaching of Modern Languages in France and Francophone Switzerland (1740-1940): A Historiographical Overview

Author

Extermann, Blaise

Abstract

This paper has two aims: firstly, it sketches the history of language teaching in France and francophone Switzerland over a period of 200 years, with a particular focus on the teaching of German. Secondly, it seeks to shed light on some of the francophone historiographical approaches which have influenced recent research in this area. Historical sociolinguistic studies have highlighted the multilingual nature of the Ancien Régime. Mainstream conclusions from the history of language teaching methodology have been complemented by contributions from sociolinguistics which shed light on the developing status of teachers, their working conditions, their role in educational institutions and their professionalisation during the nineteenth century. From the beginning of the twentieth century, despite the dominance of monolingual ideology, discussion of modern language teaching started to take place transnationally. Today, historians are also working across borders in order to get a more accurate picture of the development of language teaching. [This article was translated by Elspeth Broady.]

Published
2018
Full Text
View/download PDF

24. On the Sensitivity of a Hollow Sphere as a Multi-modal Resonant Gravitational Wave Detector

Author

Dubath, Florian, Extermann, Jerome, and Gottardi, Luciano

Subjects
General Relativity and Quantum Cosmology
Abstract

We present a numerical analysis to simulate the response of a spherical resonant gravitational wave detector and to compute its sensitivity. Under the assump- tion of optimal filtering, we work out the sensitivity curve for a sphere first taking into account only a single transducer, and then using a coherent analysis of the whole set of transducers., Comment: 24 pages, 11 figures, published version

Published
2006
Full Text
View/download PDF

25. Comparisons of commonly used front-line regimens on survival outcomes in patients aged 70 years and older with acute myeloid leukemia

Author

Chetasi Talati, Varun C Dhulipala, Mar tine Extermann, Najla Al Ali, Jongphil Kim, Rami Komrokji, Kendra Sweet, Andrew Kuykendall, Marina Sehovic, Tea Reljic, Benjamin Djulbegovic, and Jeffrey E. Lancet

Subjects
Diseases of the blood and blood-forming organs, RC633-647.5
Abstract

In older patients with acute myeloid leukemia, the more frequent presence of biologically inherent therapy-resistant disease and increased comorbidities translate to poor overall survival and therapeutic challenges. Optimal front-line therapies for older patients with acute myeloid leukemia remain controversial. We retrospectively evaluated survival outcomes in 980 elderly (≥70 years) acute myeloid leukemia patients from a single institution between 1995 and 2016. Four treatment categories were compared: high-intensity (daunorubicin/cytarabine or equivalent), hypomethylating agent, low-intensity (low-dose cytarabine or similar without hypomethylating agents), and supportive care therapy (including hydroxyurea). At a median follow up of 20.5 months, the median overall survival for the entire cohort was 7.1 months. Multivariate analysis identified secondary acute myeloid leukemia, poor-risk cytogenetics, performance status, front-line therapy, age, white blood cell count, platelet count, and hemoglobin level at diagnosis as having an impact on survival. High-intensity therapy was used in 360 patients (36.7%), hypomethylating agent in 255 (26.0%), low-intensity therapy in 91 (9.3%), and supportive care in 274 (28.0%). Pairwise comparisons between hypomethylating agent therapy and the three other treatment groups demonstrated statistically significant superior median overall survival with hypomethylating agent [14.4 months) vs. high-intensity therapy 10.8 months, hazard ratio 1.35, 95% confidence interval (CI): 1.10-1.65; P =0.004], low-intensity therapy (5.9 months, hazard ratio 2.01, 95%CI: 1.53-2.62; P

Published
2020
Full Text
View/download PDF

26. Simple Score of Albumin and CRP Predicts High-Grade Toxicity in Patients with Multiple Myeloma Receiving CAR-T Therapy

Author

Akhtar, Othman S., Modi, Karnav, Kim, Jongphil, Skelson, Lawrence, Smith, Eric, Al-Jumayli, Mohammed A., Extermann, Martine, De Avila, Gabriel, Parker, Nathan, Castaneda Puglianini, Omar, Grajales Cruz, Ariel, Baz, Rachid, Blue, Brandon, Shain, Kenneth, Alsina, Melissa, Liu, Hien, Nishihori, Taiga, Jain, Michael D., Locke, Frederick L., Hansen, Doris K., and Freeman, Ciara L.

Abstract

•The Glasgow prognostic score (GPS) is a potent prognostic tool in malignancy.•In RRMM undergoing CAR-T, high-risk GPS had increased risk of grade 3 CRS and ICANS.•There was significant difference in day-100 OS between high-risk versus low-risk GPS.•GPS remained significant in multivariable models for day-100 overall survival.•GPS is a simple, powerful tool for identifying patients at higher risk from CART.

Published
2024
Full Text
View/download PDF

29. Associations among frailty and quality of life in older patients with cancer treated with chemotherapy.

Author

Crowder, Sylvia L., Hoogland, Aasha I., Small, Brent J., Carpenter, Kristen M., Fischer, Stacy M., Li, Daneng, Kinney, Anita Y., Welniak, Taylor L., Brownstein, Naomi, Reich, Richard R., Hembree, Tim, Extermann, Martine, Kim, Richard, Afiat, Thanh-Phuong, Berry, Donna L., Turner, Kea, and Jim, Heather S.L.

Abstract

Previous studies have suggested that frailty among older adults with cancer is associated with a variety of negative outcomes, including greater chemotherapy toxicity and worse survival. However, results often do not include patient-reported outcomes, such as quality of life (QOL). The objective of this study was to evaluate frailty prior to receipt of moderately- or highly-emetogenic chemotherapy and acute changes in QOL in patients at least 65 years of age. It was hypothesized that frail patients would report greater declines in QOL. Participants completed questionnaires before receiving their first infusion and again five days later. A 59-item deficit accumulation index score was created at baseline using a modified Rockwood frailty index. QOL was assessed using the Functional Assessment of Cancer Therapy-General (FACT-G). The relationship between baseline frailty and QOL was evaluated using a dichotomized deficit accumulation index (frail vs. robust) in repeated measures ANOVA. Study participants (n = 151) had a mean age of 72 (SD = 4.5) and 62% were female. Nearly half (42%) were frail at baseline. Frail participants reported worse QOL at baseline compared to robust participants. Frail patients reported smaller declines in overall and physical (p < 0.0001) and emotional (p = 0.006) QOL from baseline to five days after receiving chemotherapy. At five days, frail participants reported better emotional and physical QOL compared to robust participants. Contrary to expectations, frail patients reported smaller declines in QOL compared to robust patients using a deficit accumulation index. These results can be used to help educate frail patients on what to expect during treatment. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

30. The Hvězda Summer Palace in Prague, the Villa Trivulzio in Rome, and Giovanni Maria Stella.

Author

EXTERMANN, GRÉGOIRE and ZAPLETALOVÁ, JANA

Subjects
ARCHITECTURE, RELIGIOUS idols, LATIN literature
Abstract

Copyright of Art / Umění is the property of Institute of Art History of the Academy of Sciences of the Czech Republic and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2022
Full Text
View/download PDF

31. Assessment of the external validity of the National Comprehensive Cancer Network (NCCN) guidelines for pancreatic ductal adenocarcinoma in a population of older patients aged 70 years and older.

Author

Rodriquenz, Maria Grazia, Negrete-Najar, Juan-Pablo, Sam, Christine, Sehovic, Marina, and Extermann, Martine

Abstract

Pancreatic ductal adenocarcinoma (PDAC) mainly occurs in older adults. Since randomized clinical trials (RCTs) provide the highest-quality evidence incorporated in NCCN recommendations, the underrepresentation of older patients in RCTs challenges guidelines' external validity and limits the solidity of evidence in this specific population. The study aimed to investigate external validity of NCCN guidelines for PDCA and the impact of reference studies eligibility on overall survival (OS) in a real-world older population. We retrieved RCTs supporting NCCN recommendations for management of PDAC and identified ten topics. We matched a cohort of 707 PDAC patients aged ≥70 years from the Moffitt Cancer Center database with eligibility criteria of 96 reference RCTs to check the proportion of patients eligible for at least two RCTs. Eligibility >60% was rated full validity, 30%–60% partial validity and < 30% limited validity. We also performed log-rank test to assessed whether "eligibility" status affects OS, stratifying by age (70–74; 75–79; ≥80). We found full validity for neoadjuvant (57/73 patients; 69.86%), locally advanced (28/39; 71.79%) and second line (88/110; 80%) treatment, while lowest validity was found for adjuvant chemotherapy (37/86; 43%). Eligible status was correlated with a significant OS benefit for adjuvant chemoradiation (p = 0.002) in all-comers and for first-line polychemotherapy in patients aged ≥80 (p = 0.01). Our analysis supports the limitation of guidelines' external validity in older patients, and hints at possible correlations with survival, although no definitive conclusions can be drawn at this stage. Renewing RCT design with broader eligibility criteria might help increase inclusion of older and thus strengthen the evidence. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

33. Generalized event shape and energy flow studies in e+e− annihilation at $ \sqrt {s} = 91.2{ - }208.0 $ GeV

Author

Achard, P., Adriani, O., Aguilar-Benitez, M., Alcaraz, J., Alemanni, G., Allaby, J., Aloisio, A., Alviggi, M. G., Anderhub, H., Andreev, V. P., Anselmo, F., Arefiev, A., Azemoon, T., Aziz, T., Bagnaia, P., Bajo, A., Baksay, G., Baksay, L., Baldew, S. V., Banerjee, S., Banerjee, Sw., Barczyk, A., Barillère, R., Bartalini, P., Basile, M., Batalova, N., Battiston, R., Bay, A., Becker, U., Behner, F., Bellucci, L., Berbeco, R., Berdugo, J., Berges, P., Bertucci, B., Betev, B. L., Biasini, M., Biglietti, M., Biland, A., Blaising, J. J., Blyth, S. C., Bobbink, G. J., Böhm, A., Boldizsar, L., Borgia, B., Bottai, S., Bourilkov, D., Bourquin, M., Braccini, S., Branson, J. G., Brochu, F., Burger, J. D., Burger, W. J., Cai, X. D., Capell, M., Romeo, G. Cara, Carlino, G., Cartacci, A., Casaus, J., Cavallari, F., Cavallo, N., Cecchi, C., Cerrada, M., Chamizo, M., Chang, Y. H., Chemarin, M., Chen, A., Chen, G., Chen, G. M., Chen, H. F., Chen, H. S., Chiefari, G., Cifarelli, L., Cindolo, F., Clare, I., Clare, R., Coignet, G., Colino, N., Costantini, S., de la Cruz, B., Cucciarelli, S., de Asmundis, R., Déglon, P., Debreczeni, J., Degré, A., Dehmelt, K., Deiters, K., della Volpe, D., Delmeire, E., Denes, P., DeNotaristefani, F., De Salvo, A., Diemoz, M., Dierckxsens, M., Dionisi, C., Dittmar, M., Doria, A., Dova, M. T., Duchesneau, D., Duda, M., Echenard, B., Eline, A., El Hage, A., El Mamouni, H., Engler, A., Eppling, F. J., Extermann, P., Falagan, M. A., Falciano, S., Favara, A., Fay, J., Fedin, O., Felcini, M., Ferguson, T., Fesefeldt, H., Fiandrini, E., Field, J. H., Filthaut, F., Fisher, P. H., Fisher, W., Forconi, G., Freudenreich, K., Furetta, C., Galaktionov, Yu., Ganguli, S. N., Garcia-Abia, P., Gataullin, M., Gentile, S., Giagu, S., Gong, Z. F., Grenier, G., Grimm, O., Gruenewald, M. W., Gupta, V. K., Gurtu, A., Gutay, L. J., Haas, D., Hatzifotiadou, D., Hebbeker, T., Hervé, A., Hirschfelder, J., Hofer, H., Hohlmann, M., Holzner, G., Hou, S. R., Jin, B. N., Jindal, P., Jones, L. W., de Jong, P., Josa-Mutuberríıa, I., Kaur, M., Kienzle-Focacci, M. N., Kim, J. K., Kirkby, J., Kittel, W., Klimentov, A., C.König, A., Kopal, M., Koutsenko, V., Kräber, M., Kraemer, R. W., Krüger, A., Kunin, A., Ladron de Guevara, P., Laktineh, I., Landi, G., Lebeau, M., Lebedev, A., Lebrun, P., Lecomte, P., Lecoq, P., Le Coultre, P., Le Goff, J. M., Leiste, R., Levtchenko, M., Levtchenko, P., Li, C., Likhoded, S., Lin, C. H., Lin, W. T., Linde, F. L., Lista, L., Liu, Z. A., Lohmann, W., Longo, E., Lu, Y. S., Luci, C., Luminari, L., Lustermann, W., Ma, W. G., Malgeri, L., Malinin, A., Maña, C., Mans, J., Martin, J. P., Marzano, F., Mazumdar, K., McNeil, R. R., Mele, S., Merola, L., Meschini, M., Metzger, W. J., Mihul, A., Milcent, H., Mirabelli, G., Mnich, J., Mohanty, G. B., Muanza, G. S., Muijs, A. J.M., Musy, M., Nagy, S., Natale, S., Napolitano, M., Nessi-Tedaldi, F., Newman, H., Nisati, A., Novak, T., Nowak, H., Ofierzynski, R., Organtini, G., Pal, I., Palomares, C., Paolucci, P., Paramatti, R., Passaleva, G., Patricelli, S., Paul, T., Pauluzzi, M., Paus, C., Pauss, F., Pedace, M., Pensotti, S., Perret-Gallix, D., Piccolo, D., Pierella, F., Pieri, M., Pioppi, M., Piroué, P. A., Pistolesi, E., Plyaskin, V., Pohl, M., Pojidaev, V., Pothier, J., Prokofiev, D., Rahal-Callot, G., Rahaman, M. A., Raics, P., Raja, N., Ramelli, R., Rancoita, P. G., Ranieri, R., Raspereza, A., Razis, P., Rembeczki, S., Ren, D., Rescigno, M., Reucroft, S., Riemann, S., Riles, K., Roe, B. P., Romero, L., Rosca, A., Rosemann, C., Rosenbleck, C., Rosier-Lees, S., Roth, S., Rubio, J. A., Ruggiero, G., Rykaczewski, H., Sakharov, A., Saremi, S., Sarkar, S., Salicio, J., Sanchez, E., Schäfer, C., Schegelsky, V., Schopper, H., Schotanus, D. J., Sciacca, C., Servoli, L., Shevchenko, S., Shivarov, N., Shoutko, V., Shumilov, E., Shvorob, A., Son, D., Souga, C., Spillantini, P., Steuer, M., Stickland, D. P., Stoyanov, B., Straessner, A., Sudhakar, K., Sultanov, G., Sun, L. Z., Sushkov, S., Suter, H., Swain, J. D., Szillasi, Z., Tang, X. W., Tarjan, P., Tauscher, L., Taylor, L., Tellili, B., Teyssier, D., Timmermans, C., Ting, Samuel C. C., Ting, S. M., Tonwar, S. C., Tóth, J., Tully, C., Tung, K. L., Ulbricht, J., Valente, E., Van de Walle, R. T., Vasquez, R., Vesztergombi, G., Vetlitsky, I., Viertel, G., Vivargent, M., Vlachos, S., Vodopianov, I., Vogel, H., Vogt, H., Vorobiev, I., Vorobyov, A. A., Wadhwa, M., Wang, Q., Wang, X. L., Wang, Z. M., Weber, M., Wynhoff, S., Xia, L., Xu, Z. Z., Yamamoto, J., Yang, B. Z., Yang, C. G., Yang, H. J., Yang, M., Yeh, S. C., Zalite, An., Zalite, Yu., Zhang, Z. P., Zhao, J., Zhu, G. Y., Zhu, R. Y., Zhuang, H. L., Zichichi, A., Zimmermann, B., Zöller, M., and L3 Collaboration

Published
2011
Full Text
View/download PDF

35. Test of the τ-model of Bose–Einstein correlations and reconstruction of the source function in hadronic Z-boson decay at LEP

Author

Achard, P., Adriani, O., Aguilar-Benitez, M., Alcaraz, J., Alemanni, G., Allaby, J., Aloisio, A., Alviggi, M. G., Anderhub, H., Andreev, V. P., Anselmo, F., Arefiev, A., Azemoon, T., Aziz, T., Bagnaia, P., Bajo, A., Baksay, G., Baksay, L., Baldew, S. V., Banerjee, S., Banerjee, Sw., Barczyk, A., Barillère, R., Bartalini, P., Basile, M., Batalova, N., Battiston, R., Bay, A., Becker, U., Behner, F., Bellucci, L., Berbeco, R., Berdugo, J., Berges, P., Bertucci, B., Betev, B. L., Biasini, M., Biglietti, M., Biland, A., Blaising, J. J., Blyth, S. C., Bobbink, G. J., Böhm, A., Boldizsar, L., Borgia, B., Bottai, S., Bourilkov, D., Bourquin, M., Braccini, S., Branson, J. G., Brochu, F., Burger, J. D., Burger, W. J., Cai, X. D., Capell, M., Cara Romeo, G., Carlino, G., Cartacci, A., Casaus, J., Cavallari, F., Cavallo, N., Cecchi, C., Cerrada, M., Chamizo, M., Chang, Y. H., Chemarin, M., Chen, A., Chen, G., Chen, G. M., Chen, H. F., Chen, H. S., Chiefari, G., Cifarelli, L., Cindolo, F., Clare, I., Clare, R., Coignet, G., Colino, N., Costantini, S., de la Cruz, B., Cucciarelli, S., Csörgő, T., de Asmundis, R., Déglon, P., Debreczeni, J., Degré, A., Dehmelt, K., Deiters, K., della Volpe, D., Delmeire, E., Denes, P., De Notaristefani, F., De Salvo, A., Diemoz, M., Dierckxsens, M., Dionisi, C., Dittmar, M., Doria, A., Dova, M. T., Duchesneau, D., Duda, M., Echenard, B., Eline, A., El Hage, A., El Mamouni, H., Engler, A., Eppling, F. J., Extermann, P., Falagan, M. A., Falciano, S., Favara, A., Fay, J., Fedin, O., Felcini, M., Ferguson, T., Fesefeldt, H., Fiandrini, E., Field, J. H., Filthaut, F., Fisher, P. H., Fisher, W., Forconi, G., Freudenreich, K., Furetta, C., Galaktionov, Yu., Ganguli, S. N., Garcia-Abia, P., Gataullin, M., Gentile, S., Giagu, S., Gong, Z. F., Grenier, G., Grimm, O., Gruenewald, M. W., Gupta, V. K., Gurtu, A., Gutay, L. J., Haas, D., Hakobyan, R., Hatzifotiadou, D., Hebbeker, T., Hervé, A., Hirschfelder, J., Hofer, H., Hohlmann, M., Holzner, G., Hou, S. R., Jin, B. N., Jindal, P., Jones, L. W., de Jong, P., Josa-Mutuberría, I., Kaur, M., Kienzle-Focacci, M. N., Kim, J. K., Kirkby, J., Kittel, W., Klimentov, A., König, A. C., Kopal, M., Koutsenko, V., Kräber, M., Kraemer, R. W., Krüger, A., Kunin, A., Ladron de Guevara, P., Laktineh, I., Landi, G., Lebeau, M., Lebedev, A., Lebrun, P., Lecomte, P., Lecoq, P., Le Coultre, P., Le Goff, J. M., Leiste, R., Levtchenko, M., Levtchenko, P., Li, C., Likhoded, S., Lin, C. H., Lin, W. T., Linde, F. L., Lista, L., Liu, Z. A., Lohmann, W., Longo, E., Lu, Y. S., Luci, C., Luminari, L., Lustermann, W., Ma, W. G., Malgeri, L., Malinin, A., Maña, C., Mans, J., Martin, J. P., Marzano, F., Mazumdar, K., McNeil, R. R., Mele, S., Merola, L., Meschini, M., Metzger, W. J., Mihul, A., Milcent, H., Mirabelli, G., Mnich, J., Mohanty, G. B., Muanza, G. S., Muijs, A. J. M., Musy, M., Nagy, S., Natale, S., Napolitano, M., Nessi-Tedaldi, F., Newman, H., Nisati, A., Novák, T., Nowak, H., Ofierzynski, R., Organtini, G., Pal, I., Palomares, C., Paolucci, P., Paramatti, R., Passaleva, G., Patricelli, S., Paul, T., Pauluzzi, M., Paus, C., Pauss, F., Pedace, M., Pensotti, S., Perret-Gallix, D., Piccolo, D., Pierella, F., Pieri, M., Pioppi, M., Piroué, P. A., Pistolesi, E., Plyaskin, V., Pohl, M., Pojidaev, V., Pothier, J., Prokofiev, D., Rahal-Callot, G., Rahaman, M. A., Raics, P., Raja, N., Ramelli, R., Rancoita, P. G., Ranieri, R., Raspereza, A., Razis, P., Rembeczki, S., Ren, D., Rescigno, M., Reucroft, S., Riemann, S., Riles, K., Roe, B. P., Romero, L., Rosca, A., Rosemann, C., Rosenbleck, C., Rosier-Lees, S., Roth, S., Rubio, J. A., Ruggiero, G., Rykaczewski, H., Sakharov, A., Saremi, S., Sarkar, S., Salicio, J., Sanchez, E., Schäfer, C., Schegelsky, V., Schopper, H., Schotanus, D. J., Sciacca, C., Servoli, L., Shevchenko, S., Shivarov, N., Shoutko, V., Shumilov, E., Shvorob, A., Son, D., Souga, C., Spillantini, P., Steuer, M., Stickland, D. P., Stoyanov, B., Straessner, A., Sudhakar, K., Sultanov, G., Sun, L. Z., Sushkov, S., Suter, H., Swain, J. D., Szillasi, Z., Tang, X. W., Tarjan, P., Tauscher, L., Taylor, L., Tellili, B., Teyssier, D., Timmermans, C., Ting, Samuel C. C., Ting, S. M., Tonwar, S. C., Tóth, J., Tully, C., Tung, K. L., Ulbricht, J., Valente, E., Van de Walle, R. T., Vasquez, R., Vesztergombi, G., Vetlitsky, I., Viertel, G., Vivargent, M., Vlachos, S., Vodopianov, I., Vogel, H., Vogt, H., Vorobiev, I., Vorobyov, A. A., Wadhwa, M., Wang, Q., Wang, X. L., Wang, Z. M., Weber, M., Wynhoff, S., Xia, L., Xu, Z. Z., Yamamoto, J., Yang, B. Z., Yang, C. G., Yang, H. J., Yang, M., Yeh, S. C., Zalite, An., Zalite, Yu., Zhang, Z. P., Zhao, J., Zhu, G. Y., Zhu, R. Y., Zhuang, H. L., Zichichi, A., Zimmermann, B., Zöller, M., and The L3 Collaboration

Published
2011
Full Text
View/download PDF

38. Trial Design Considerations to Increase Older Adult Accrual to National Cancer Institute Clinical Trials

Author

Le-Rademacher, Jennifer, Mohile, Supriya, Unger, Joseph, Hudson, Matthew F, Foster, Jared, Lichtman, Stuart, Perlmutter, Jane, Dotan, Efrat, Extermann, Martine, Dodd, Kevin, Tew, William, Klepin, Heidi, Wildes, Tanya M, Sedrak, Mina S, Jatoi, Aminah, and Little, Richard F

Abstract

Although adults aged 65 years or older make up a strong majority of cancer patients, their underrepresentation in cancer clinical trials leads to the lack of representative data to guide evidence-based therapeutic decisions in this patient population. The Trial Design Working Group, convened as part of the workshop titled, Engaging Older Adults in the National Cancer Institute Clinical Trials Network: Challenges and Opportunities, recommended study designs and design elements that could improve accrual of older adults in National Cancer Institute–funded clinical trials. These include trials that are specifically designed to enroll older adults, trials that include a cohort of older patients (parallel cohort, stratified cohort, or embedded cohort), and trials with pragmatic design elements to facilitate enrollment of older adults. This manuscript provides brief descriptions of the recommended designs, examples of successful trials, and considerations for implementation of these designs.As with any clinical trial, the scientific questions and trial objectives should drive the study design, the selection of endpoints and intervention, and eligibility criteria. When designing trials that include older adults, the heterogeneity of fitness levels is an important consideration as fitness can influence accrual rates and outcomes. Appropriately incorporating geriatric assessments can help identify the optimal subset of older patients for inclusion and minimize selection bias. Incorporating pragmatic design elements to reduce the burden on trial participants as well as on accruing sites and retaining essential elements to ensure that the main goal of the trial can be accomplished can enhance enrollment without compromising the integrity of trials.

Published
2022
Full Text
View/download PDF

39. Freie mitteilungen

Author

Dunod M., Dietz Th. U., Berger E., Lachat R., Schneider H., Streicher, A., Zimmermann, R., Huch, R., Huch, A., Küng, A., v. Mandach, U., Huch, R., Huch, A., Zürrer, M., Lauper, U., Biedermann, K., Hüttner, C., Breymann, C., Richter, C., Huch, R., Huch, A., Sapin, B., Extermann, Ph., Béguin, F., Sapin, B., Extermann, Ph., and Béguin, F.

Published
1995
Full Text
View/download PDF

40. The Biological Process of Aging and the Impact of Ionizing Radiation.

Author

Al-Jumayli, Mohammed, Brown, Stephen L., Chetty, Indrin J, Extermann, Martine, and Movsas, Benjamin

Abstract

Ionizing radiation is used to create models of accelerated aging because the processes of aging and radiation injury share common elements. In this chapter we review the biological processes of aging and the similarities and impact of ionizing radiation on those processes. The information draws on data from laboratory studies and from epidemiology studies of radiation exposure victims. The chapter reviews the effects of radiation on DNA, cells, and organs systems on aged adults. The science of aging and the effect of radiation on the aging process are areas of active research and our understanding is evolving. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

41. Predictors of Toxicity Among Older Adults with Cancer.

Author

Extermann, Martine, Chetty, Indrin J., Brown, Stephen L., Al-Jumayli, Mohammed, and Movsas, Benjamin

Abstract

An increasing number of cancer patients are of advanced age as the incidence of cancer increases with age. In this article, the clinical predictors of toxicity that may help in treatment selection are addressed, as well as mitigators of toxicity. The potential of artificial intelligence to enable further progress in the understanding of the interaction of age and tolerance to radiation is reviewed. The final section reviews the literature on patient-related outcomes for older patients. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

42. Development of a health data derived frailty index as a predictor of adverse outcomes in older patients with pancreatic cancer.

Author

Negrete-Najar, Juan-Pablo, Sehovic, Marina, Rodriquenz, Maria Grazia, Garcia-Martinez, Juan, and Extermann, Martine

Abstract

Pancreatic cancer is a prevalent disease among older adults. Well-selected patients, based on a geriatric assessment for risk stratification, could be good candidates for chemotherapy and/or curative resection. Deficits accumulation frailty indices (FI) utilize readily available clinical data and easily obtained patient-reported information to predict hospitalization and mortality of older individuals. Retrospective data from 440 older adults (median age 76 years) with pancreatic cancer, obtained from electronic health records, was used to develop a FI and its ability to predict mortality and other geriatric and cancer related outcomes was tested. Fatigue (n = 45), infection (n = 40) and neutropenia (n = 36) were the most common registered adverse events of treatment; 153 subjects had no adverse events. The mean FI score was 0.26, 112 subjects were fit (0.0 < 0.2), 255 pre-frail (0.2 < 0.35), and 73 frail (≥ 0.35). Median survival was twelve months for the whole sample; at one year 62.5% of fit patients, 46.3% of pre-frail, and 26% of frail patients were alive. The FI categories correlated with institutionalization (p < 0.001) and non-planned hospitalization (p < 0.001). The FI categories did not correlate with the presence of Common Terminology Criteria for Adverse Events (CTCAE) grade 3–4 adverse events (p = 0.377). We conclude that patients with pancreatic cancer classified as frail with our FI had worse survival than those fit and pre-frail. Non-fit patients were also more prone to be institutionalized and have non-planned hospitalizations. The items used for this FI can be usually acquired from electronic health records and could be automated in the future, which could simplify its use as a helping tool for decisions in older patients with pancreatic cancer. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

44. Study of inclusive strange-baryon production and search for pentaquarks in two-photon collisions at LEP

Author

Achard, P., Adriani, O., Aguilar-Benitez, M., Alcaraz, J., Alemanni, G., Allaby, J., Aloisio, A., Alviggi, M.G., Anderhub, H., Andreev, V.P., Anselmo, F., Arefiev, A., Azemoon, T., Aziz, T., Bagnaia, P., Bajo, A., Baksay, G., Baksay, L., Baldew, S.V., Banerjee, S., Banerjee, S., Barczyk, A., Barillère, R., Bartalini, P., Basile, M., Batalova, N., Battiston, R., Bay, A., Becattini, F., Becker, U., Behner, F., Bellucci, L., Berbeco, R., Berdugo, J., Berges, P., Bertucci, B., Betev, B.L., Biasini, M., Biglietti, M., Biland, A., Blaising, J.J., Blyth, S.C., Bobbink, G.J., Böhm, A., Boldizsar, L., Borgia, B., Bottai, S., Bourilkov, D., Bourquin, M., Braccini, S., Branson, J.G., Brochu, F., Burger, J.D., Burger, W.J., Cai, X.D., Capell, M., Cara Romeo, G., Carlino, G., Cartacci, A., Casaus, J., Cavallari, F., Cavallo, N., Cecchi, C., Cerrada, M., Chamizo, M., Chang, Y.H., Chemarin, M., Chen, A., Chen, G., Chen, G.M., Chen, H.F., Chen, H.S., Chiefari, G., Cifarelli, L., Cindolo, F., Clare, I., Clare, R., Coignet, G., Colino, N., Costantini, S., de la Cruz, B., Cucciarelli, S., de Asmundis, R., Déglon, P., Debreczeni, J., Degré, A., Dehmelt, K., Deiters, K., della Volpe, D., Delmeire, E., Denes, P., DeNotaristefani, F., De Salvo, A., Diemoz, M., Dierckxsens, M., Dionisi, C., Dittmar, M., Doria, A., Dova, M.T., Duchesneau, D., Duda, M., Echenard, B., Eline, A., El Hage, A., El Mamouni, H., Engler, A., Eppling, F.J., Extermann, P., Falagan, M.A., Falciano, S., Favara, A., Fay, J., Fedin, O., Felcini, M., Ferguson, T., Fesefeldt, H., Fiandrini, E., Field, J.H., Filthaut, F., Fisher, P.H., Fisher, W., Forconi, G., Freudenreich, K., Furetta, C., Galaktionov, Y., Ganguli, S.N., Garcia-Abia, P., Gataullin, M., Gentile, S., Giagu, S., Gong, Z.F., Grenier, G., Grimm, O., Gruenewald, M.W., Gupta, V.K., Gurtu, A., Gutay, L.J., Haas, D., Hatzifotiadou, D., Hebbeker, T., Hervé, A., Hirschfelder, J., Hofer, H., Hohlmann, M., Holzner, G., Hou, S.R., Jin, B.N., Jindal, P., Jones, L.W., de Jong, P., Josa-Mutuberría, I., Kaur, M., Kienzle-Focacci, M.N., Kim, J.K., Kirkby, J., Kittel, W., Klimentov, A., König, A.C., Kopal, M., Koutsenko, V., Kräber, M., Kraemer, R.W., Krüger, A., Kunin, A., Ladron de Guevara, P., Laktineh, I., Landi, G., Lebeau, M., Lebedev, A., Lebrun, P., Lecomte, P., Lecoq, P., Le Coultre, P., Le Goff, J.M., Leiste, R., Levtchenko, M., Levtchenko, P., Li, C., Likhoded, S., Lin, C.H., Lin, W.T., Linde, F.L., Lista, L., Liu, Z.A., Lohmann, W., Longo, E., Lu, Y.S., Luci, C., Luminari, L., Lustermann, W., Ma, W.G., Malgeri, L., Malinin, A., Maña, C., Mans, J., Martin, J.P., Marzano, F., Mazumdar, K., McNeil, R.R., Mele, S., Merola, L., Meschini, M., Metzger, W.J., Mihul, A., Milcent, H., Mirabelli, G., Mnich, J., Mohanty, G.B., Muanza, G.S., Muijs, A.J.M., Musy, M., Nagy, S., Natale, S., Napolitano, M., Nessi-Tedaldi, F., Newman, H., Nisati, A., Novak, T., Nowak, H., Ofierzynski, R., Organtini, G., Pal, I., Palomares, C., Paolucci, P., Paramatti, R., Passaleva, G., Patricelli, S., Paul, T., Pauluzzi, M., Paus, C., Pauss, F., Pedace, M., Pensotti, S., Perret-Gallix, D., Piccolo, D., Pierella, F., Pieri, M., Pioppi, M., Piroué, P.A., Pistolesi, E., Plyaskin, V., Pohl, M., Pojidaev, V., Pothier, J., Prokofiev, D., Rahal-Callot, G., Rahaman, M.A., Raics, P., Raja, N., Ramelli, R., Rancoita, P.G., Ranieri, R., Raspereza, A., Razis, P., Rembeczki, S., Ren, D., Rescigno, M., Reucroft, S., Riemann, S., Riles, K., Roe, B.P., Romero, L., Rosca, A., Rosemann, C., Rosenbleck, C., Rosier-Lees, S., Roth, S., Rubio, J.A., Ruggiero, G., Rykaczewski, H., Sakharov, A., Saremi, S., Sarkar, S., Salicio, J., Sanchez, E., Schäfer, C., Schegelsky, V., Schopper, H., Schotanus, D.J., Sciacca, C., Servoli, L., Shevchenko, S., Shivarov, N., Shoutko, V., Shumilov, E., Shvorob, A., Son, D., Souga, C., Spillantini, P., Steuer, M., Stickland, D.P., Stoyanov, B., Straessner, A., Sudhakar, K., Sultanov, G., Sun, L.Z., Sushkov, S., Suter, H., Swain, J.D., Szillasi, Z., Tang, X.W., Tarjan, P., Tauscher, L., Taylor, L., Tellili, B., Teyssier, D., Timmermans, C., Ting, S.C.C., Ting, S.M., Tonwar, S.C., Tóth, J., Tully, C., Tung, K.L., Ulbricht, J., Valente, E., Van de Walle, R.T., Vasquez, R., Vesztergombi, G., Vetlitsky, I., Viertel, G., Vivargent, M., Vlachos, S., Vodopianov, I., Vogel, H., Vogt, H., Vorobiev, I., Vorobyov, A.A., Wadhwa, M., Wang, Q., Wang, X.L., Wang, Z.M., Weber, M., Wynhoff, S., Xia, L., Xu, Z.Z., Yamamoto, J., Yang, B.Z., Yang, C.G., Yang, H.J., Yang, M., Yeh, S.C., Zalite, A., Zalite, Y., Zhang, Z.P., Zhao, J., Zhu, G.Y., Zhu, R.Y., Zhuang, H.L., Zichichi, A., Zimmermann, B., Zöller, M., and The L3 Collaboration

Published
2007
Full Text
View/download PDF

45. Search for neutral MSSM Higgs bosons at LEP

Author

Schael, S., Barate, R., Brunelière, R., De Bonis, I., Decamp, D., Goy, C., Jézéquel, S., Lees, J.-P., Martin, F., Merle, E., Minard, M.-N., Pietrzyk, B., Trocmé, B., Bravo, S., Casado, M.P., Chmeissani, M., Crespo, J.M., Fernandez, E., Fernandez-Bosman, M., Garrido, L., Martinez, M., Pacheco, A., Ruiz, H., Colaleo, A., Creanza, D., De Filippis, N., de Palma, M., Iaselli, G., Maggi, G., Maggi, M., Nuzzo, S., Ranieri, A., Raso, G., Ruggieri, F., Selvaggi, G., Silvestris, L., Tempesta, P., Tricomi, A., Zito, G., Huang, X., Lin, J., Ouyang, Q., Wang, T., Xie, Y., Xu, R., Xue, S., Zhang, J., Zhang, L., Zhao, W., Abbaneo, D., Barklow, T., Buchmüller, O., Cattaneo, M., Clerbaux, B., Drevermann, H., Forty, R.W., Frank, M., Gianotti, F., Hansen, J.B., Harvey, J., Hutchcroft, D.E., Janot, P., Jost, B., Kado, M., Mato, P., Moutoussi, A., Ranjard, F., Rolandi, L., Schlatter, D., Teubert, F., Valassi, A., Videau, I., Badaud, F., Dessagne, S., Falvard, A., Fayolle, D., Gay, P., Jousset, J., Michel, B., Monteil, S., Pallin, D., Pascolo, J.M., Perret, P., Hansen, J.D., Hansen, J.R., Hansen, P.H., Kraan, A.C., Nilsson, B.S., Kyriakis, A., Markou, C., Simopoulou, E., Vayaki, A., Zachariadou, K., Blondel, A., Brient, J.-C., Machefert, F., Rougé, A., Videau, H., Ciulli, V., Focardi, E., Parrini, G., Antonelli, A., Antonelli, M., Bencivenni, G., Bossi, F., Capon, G., Cerutti, F., Chiarella, V., Mannocchi, G., Laurelli, P., Mannocchi, G., Murtas, G.P., Passalacqua, L., Kennedy, J., Lynch, J.G., Negus, P., O’Shea, V., Thompson, A.S., Wasserbaech, S., Cavanaugh, R., Dhamotharan, S., Geweniger, C., Hanke, P., Hepp, V., Kluge, E.E., Putzer, A., Stenzel, H., Tittel, K., Wunsch, M., Beuselinck, R., Cameron, W., Davies, G., Dornan, P.J., Girone, M., Marinelli, N., Nowell, J., Rutherford, S.A., Sedgbeer, J.K., Thompson, J.C., White, R., Ghete, V.M., Girtler, P., Kneringer, E., Kuhn, D., Rudolph, G., Bouhova-Thacker, E., Bowdery, C.K., Clarke, D.P., Ellis, G., Finch, A.J., Foster, F., Hughes, G., Jones, R.W.L., Pearson, M.R., Robertson, N.A., Smizanska, M., van der Aa, O., Delaere, C., Leibenguth, G., Lemaitre, V., Blumenschein, U., Hölldorfer, F., Jakobs, K., Kayser, F., Müller, A.-S., Renk, B., Sander, H.-G., Schmeling, S., Wachsmuth, H., Zeitnitz, C., Ziegler, T., Bonissent, A., Coyle, P., Curtil, C., Ealet, A., Fouchez, D., Payre, P., Tilquin, A., Ragusa, F., David, A., Dietl, H., Ganis, G., Hüttmann, K., Lütjens, G., Männer, W., Moser, H.-G., Settles, R., Villegas, M., Wolf, G., Boucrot, J., Callot, O., Davier, M., Duflot, L., Grivaz, J.-F., Heusse, P., Jacholkowska, A., Serin, L., Veillet, J.-J., Azzurri, P., Bagliesi, G., Boccali, T., Foà, L., Giammanco, A., Giassi, A., Ligabue, F., Messineo, A., Palla, F., Sanguinetti, G., Sciabà, A., Sguazzoni, G., Spagnolo, P., Tenchini, R., Venturi, A., Verdini, P.G., Awunor, O., Blair, G.A., Cowan, G., Garcia-Bellido, A., Green, M.G., Medcalf, T., Misiejuk, A., Strong, J.A., Teixeira-Dias, P., Clifft, R.W., Edgecock, T.R., Norton, P.R., Tomalin, I.R., Ward, J.J., Bloch-Devaux, B., Boumediene, D., Colas, P., Fabbro, B., Lançon, E., Lemaire, M.-C., Locci, E., Perez, P., Rander, J., Tuchming, B., Vallage, B., Litke, A.M., Taylor, G., Booth, C.N., Cartwright, S., Combley, F., Hodgson, P.N., Lehto, M., Thompson, L.F., Böhrer, A., Brandt, S., Grupen, C., Hess, J., Ngac, A., Prange, G., Borean, C., Giannini, G., He, H., Putz, J., Rothberg, J., Armstrong, S.R., Berkelman, K., Cranmer, K., Ferguson, D.P.S., Gao, Y., González, S., Hayes, O.J., Hu, H., Jin, S., Kile, J., McNamara III, P.A., Nielsen, J., Pan, Y.B., von Wimmersperg-Toeller, J.H., Wiedenmann, W., Wu, J., Wu, S.L., Wu, X., Zobernig, G., Dissertori, G., Abdallah, J., Abreu, P., Adam, W., Adzic, P., Albrecht, T., Alderweireld, T., Alemany-Fernandez, R., Allmendinger, T., Allport, P.P., Amaldi, U., Amapane, N., Amato, S., Anashkin, E., Andreazza, A., Andringa, S., Anjos, N., Antilogus, P., Apel, W.-D., Arnoud, Y., Ask, S., Asman, B., Augustin, J.E., Augustinus, A., Baillon, P., Ballestrero, A., Bambade, P., Barbier, R., Bardin, D., Barker, G.J., Baroncelli, A., Battaglia, M., Baubillier, M., Becks, K.-H., Begalli, M., Behrmann, A., Ben-Haim, E., Benekos, N., Benvenuti, A., Berat, C., Berggren, M., Berntzon, L., Bertrand, D., Besancon, M., Besson, N., Bloch, D., Blom, M., Bluj, M., Bonesini, M., Boonekamp, M., Booth, P.S.L., Borisov, G., Botner, O., Bouquet, B., Bowcock, T.J.V., Boyko, I., Bracko, M., Brenner, R., Brodet, E., Bruckman, P., Brunet, J.M., Buschbeck, B., Buschmann, P., Calvi, M., Camporesi, T., Canale, V., Carena, F., Castro, N., Cavallo, F., Chapkin, M., Charpentier, P., Checchia, P., Chierici, R., Chliapnikov, P., Chudoba, J., Chung, S.U., Cieslik, K., Collins, P., Contri, R., Cosme, G., Cossutti, F., Costa, M.J., Crennell, D., Cuevas, J., D’Hondt, J., Dalmau, J., da Silva, T., Da Silva, W., Della Ricca, G., De Angelis, A., De Boer, W., De Clercq, C., De Lotto, B., De Maria, N., De Min, A., de Paula, L., Di Ciaccio, L., Di Simone, A., Doroba, K., Drees, J., Eigen, G., Ekelof, T., Ellert, M., Elsing, M., Espirito Santo, M.C., Fanourakis, G., Fassouliotis, D., Feindt, M., Fernandez, J., Ferrer, A., Ferro, F., Flagmeyer, U., Foeth, H., Fokitis, E., Fulda-Quenzer, F., Fuster, J., Gandelman, M., Garcia, C., Gavillet, P., Gazis, E., Gokieli, R., Golob, B., Gomez-Ceballos, G., Goncalves, P., Graziani, E., Grosdidier, G., Grzelak, K., Guy, J., Haag, C., Hallgren, A., Hamacher, K., Hamilton, K., Haug, S., Hauler, F., Hedberg, V., Hennecke, M., Herr, H., Hoffman, J., Holmgren, S.-O., Holt, P.J., Houlden, M.A., Hultqvist, K., Jackson, J.N., Jarlskog, G., Jarry, P., Jeans, D., Johansson, E.K., Johansson, P.D., Jonsson, P., Joram, C., Jungermann, L., Kapusta, F., Katsanevas, S., Katsoufis, E., Kernel, G., Kersevan, B.P., Kerzel, U., King, B.T., Kjaer, N.J., Kluit, P., Kokkinias, P., Kourkoumelis, C., Kouznetsov, O., Krumstein, Z., Kucharczyk, M., Lamsa, J., Leder, G., Ledroit, F., Leinonen, L., Leitner, R., Lemonne, J., Lepeltier, V., Lesiak, T., Liebig, W., Liko, D., Lipniacka, A., Lopes, J.H., Lopez, J.M., Loukas, D., Lutz, P., Lyons, L., MacNaughton, J., Malek, A., Maltezos, S., Mandl, F., Marco, J., Marco, R., Marechal, B., Margoni, M., Marin, J.-C., Mariotti, C., Markou, A., Martinez-Rivero, C., Masik, J., Mastroyiannopoulos, N., Matorras, F., Matteuzzi, C., Mazzucato, F., Mazzucato, M., Mc Nulty, R., Meroni, C., Migliore, E., Mitaroff, W., Mjoernmark, U., Moa, T., Moch, M., Moenig, K., Monge, R., Montenegro, J., Moraes, D., Moreno, S., Morettini, P., Mueller, U., Muenich, K., Mulders, M., Mundim, L., Murray, W., Muryn, B., Myatt, G., Myklebust, T., Nassiakou, M., Navarria, F., Nawrocki, K., Nicolaidou, R., Nikolenko, M., Oblakowska-Mucha, A., Obraztsov, V., Olshevski, A., Onofre, A., Orava, R., Osterberg, K., Ouraou, A., Oyanguren, A., Paganoni, M., Paiano, S., Palacios, J.P., Palka, H., Papadopoulou, T.D., Pape, L., Parkes, C., Parodi, F., Parzefall, U., Passeri, A., Passon, O., Peralta, L., Perepelitsa, V., Perrotta, A., Petrolini, A., Piedra, J., Pieri, L., Pierre, F., Pimenta, M., Piotto, E., Podobnik, T., Poireau, V., Pol, M.E., Polok, G., Pozdniakov, V., Pukhaeva, N., Pullia, A., Rames, J., Read, A., Rebecchi, P., Rehn, J., Reid, D., Reinhardt, R., Renton, P., Richard, F., Ridky, J., Rivero, M., Rodriguez, D., Romero, A., Ronchese, P., Roudeau, P., Rovelli, T., Ruhlmann-Kleider, V., Ryabtchikov, D., Sadovsky, A., Salmi, L., Salt, J., Sander, C., Savoy-Navarro, A., Schwickerath, U., Segar, A., Sekulin, R., Siebel, M., Sisakian, A., Smadja, G., Smirnova, O., Sokolov, A., Sopczak, A., Sosnowski, R., Spassov, T., Stanitzki, M., Stocchi, A., Strauss, J., Stugu, B., Szczekowski, M., Szeptycka, M., Szumlak, T., Tabarelli, T., Taffard, A.C., Tegenfeldt, F., Timmermans, J., Tkatchev, L., Tobin, M., Todorovova, S., Tome, B., Tonazzo, A., Tortosa, P., Travnicek, P., Treille, D., Tristram, G., Trochimczuk, M., Troncon, C., Turluer, M.-L., Tyapkin, I.A., Tyapkin, P., Tzamarias, S., Uvarov, V., Valenti, G., Van Dam, P., Van Eldik, J., van Remortel, N., Van Vulpen, I., Vegni, G., Veloso, F., Venus, W., Verdier, P., Verzi, V., Vilanova, D., Vitale, L., Vrba, V., Wahlen, H., Washbrook, A.J., Weiser, C., Wicke, D., Wickens, J., Wilkinson, G., Winter, M., Witek, M., Yushchenko, O., Zalewska, A., Zalewski, P., Zavrtanik, D., Zhuravlov, V., Zimin, N.I., Zintchenko, A., Zupan, M., Achard, P., Adriani, O., Aguilar-Benitez, M., Alcaraz, J., Alemanni, G., Allaby, J., Aloisio, A., Alviggi, M.G., Anderhub, H., Andreev, V.P., Anselmo, F., Arefiev, A., Azemoon, T., Aziz, T., Bagnaia, P., Bajo, A., Baksay, G., Baksay, L., Baldew, S.V., Banerjee, S., Banerjee, Sw., Barczyk, A., Barillère, R., Bartalini, P., Basile, M., Batalova, N., Battiston, R., Bay, A., Becattini, F., Becker, U., Behner, F., Bellucci, L., Berbeco, R., Berdugo, J., Berges, P., Bertucci, B., Betev, B.L., Biasini, M., Biglietti, M., Biland, A., Blaising, J.J., Blyth, S.C., Bobbink, G.J., Böhm, A., Boldizsar, L., Borgia, B., Bottai, S., Bourilkov, D., Bourquin, M., Braccini, S., Branson, J.G., Brochu, F., Burger, J.D., Burger, W.J., Cai, X.D., Capell, M., Cara Romeo, G., Carlino, G., Cartacci, A., Casaus, J., Cavallari, F., Cavallo, N., Cecchi, C., Cerrada, M., Chamizo, M., Chang, Y.H., Chemarin, M., Chen, A., Chen, G., Chen, G.M., Chen, H.F., Chen, H.S., Chiefari, G., Cifarelli, L., Cindolo, F., Clare, I., Clare, R., Coignet, G., Colino, N., Costantini, S., de la Cruz, B., Cucciarelli, S., de Asmundis, R., Déglon, P., Debreczeni, J., Degré, A., Dehmelt, K., Deiters, K., della Volpe, D., Delmeire, E., Denes, P., DeNotaristefani, F., De Salvo, A., Diemoz, M., Dierckxsens, M., Dionisi, C., Dittmar, M., Doria, A., Dova, M.T., Duchesneau, D., Duda, M., Echenard, B., Eline, A., El Hage, A., El Mamouni, H., Engler, A., Eppling, F.J., Extermann, P., Falagan, M.A., Falciano, S., Favara, A., Fay, J., Fedin, O., Felcini, M., Ferguson, T., Fesefeldt, H., Fiandrini, E., Field, J.H., Filthaut, F., Fisher, P.H., Fisher, W., Forconi, G., Freudenreich, K., Furetta, C., Galaktionov, Yu., Ganguli, S.N., Garcia-Abia, P., Gataullin, M., Gentile, S., Giagu, S., Gong, Z.F., Grenier, G., Grimm, O., Gruenewald, M.W., Guida, M., Gupta, V.K., Gurtu, A., Gutay, L.J., Haas, D., Hatzifotiadou, D., Hebbeker, T., Hervé, A., Hirschfelder, J., Hofer, H., Hohlmann, M., Holzner, G., Hou, S.R., Hu, J., Jin, B.N., Jindal, P., Jones, L.W., de Jong, P., Josa-Mutuberría, I., Kaur, M., Kienzle-Focacci, M.N., Kim, J.K., Kirkby, J., Kittel, W., Klimentov, A., König, A.C., Kopal, M., Koutsenko, V., Kräber, M., Kraemer, R.W., Krüger, A., Kunin, A., Ladron de Guevara, P., Laktineh, I., Landi, G., Lebeau, M., Lebedev, A., Lebrun, P., Lecomte, P., Lecoq, P., Le Coultre, P., Le Goff, J.M., Leiste, R., Levtchenko, M., Levtchenko, P., Li, C., Likhoded, S., Lin, C.H., Lin, W.T., Linde, F.L., Lista, L., Liu, Z.A., Lohmann, W., Longo, E., Lu, Y.S., Luci, C., Luminari, L., Lustermann, W., Ma, W.G., Malgeri, L., Malinin, A., Ma na, C., Mans, J., Martin, J.P., Marzano, F., Mazumdar, K., McNeil, R.R., Mele, S., Merola, L., Meschini, M., Metzger, W.J., Mihul, A., Milcent, H., Mirabelli, G., Mnich, J., Mohanty, G.B., Muanza, G.S., Muijs, A.J.M., Musicar, B., Musy, M., Nagy, S., Natale, S., Napolitano, M., Nessi-Tedaldi, F., Newman, H., Nisati, A., Novak, T., Nowak, H., Ofierzynski, R., Organtini, G., Pal, I., Palomares, C., Paolucci, P., Paramatti, R., Passaleva, G., Patricelli, S., Paul, T., Pauluzzi, M., Paus, C., Pauss, F., Pedace, M., Pensotti, S., Perret-Gallix, D., Piccolo, D., Pierella, F., Pieri, M., Pioppi, M., Piroué, P.A., Pistolesi, E., Plyaskin, V., Pohl, M., Pojidaev, V., Pothier, J., Prokofiev, D., Rahal-Callot, G., Rahaman, M.A., Raics, P., Raja, N., Ramelli, R., Rancoita, P.G., Ranieri, R., Raspereza, A., Razis, P., Rembeczki, S., Ren, D., Rescigno, M., Reucroft, S., Riemann, S., Riles, K., Roe, B.P., Romero, L., Rosca, A., Rosemann, C., Rosenbleck, C., Rosier-Lees, S., Roth, S., Rubio, J.A., Ruggiero, G., Rykaczewski, H., Sakharov, A., Saremi, S., Sarkar, S., Salicio, J., Sanchez, E., Schäfer, C., Schegelsky, V., Schopper, H., Schotanus, D.J., Sciacca, C., Servoli, L., Shevchenko, S., Shivarov, N., Shoutko, V., Shumilov, E., Shvorob, A., Son, D., Souga, C., Spillantini, P., Steuer, M., Stickland, D.P., Stoyanov, B., Straessner, A., Sudhakar, K., Sultanov, G., Sun, L.Z., Sushkov, S., Suter, H., Swain, J.D., Szillasi, Z., Tang, X.W., Tarjan, P., Tauscher, L., Taylor, L., Tellili, B., Teyssier, D., Timmermans, C., Ting, S.C.C., Ting, S.M., Tonwar, S.C., Tóth, J., Tully, C., Tung, K.L., Ulbricht, J., Valente, E., Van de Walle, R.T., Vasquez, R., Vesztergombi, G., Vetlitsky, I., Viertel, G., Vivargent, M., Vlachos, S., Vodopianov, I., Vogel, H., Vogt, H., Vorobiev, I., Vorobyov, A.A., Wadhwa, M., Wang, Q., Wang, X.L., Wang, Z.M., Weber, M., Wynhoff, S., Xia, L., Xu, Z.Z., Yamamoto, J., Yang, B.Z., Yang, C.G., Yang, H.J., Yang, M., Yeh, S.C., Zalite, An., Zalite, Yu., Zhang, Z.P., Zhao, J., Zhu, G.Y., Zhu, R.Y., Zhuang, H.L., Zichichi, A., Zimmermann, B., Zöller, M., Abbiendi, G., Ainsley, C., Åkesson, P.F., Alexander, G., Allison, J., Amaral, P., Anagnostou, G., Anderson, K.J., Asai, S., Axen, D., Azuelos, G., Bailey, I., Barberio, E., Barillari, T., Barlow, R.J., Batley, R.J., Bechtle, P., Behnke, T., Bell, K.W., Bell, P.J., Bella, G., Bellerive, A., Benelli, G., Bethke, S., Biebel, O., Boeriu, O., Bock, P., Boutemeur, M., Braibant, S., Brigliadori, L., Brown, R.M., Buesser, K., Burckhart, H.J., Campana, S., Carnegie, R.K., Carter, A.A., Carter, J.R., Chang, C.Y., Charlton, D.G., Ciocca, C., Csilling, A., Cuffiani, M., Dado, S., de Jong, S., De Roeck, A., De Wolf, E.A., Desch, K., Dienes, B., Donkers, M., Dubbert, J., Duchovni, E., Duckeck, G., Duerdoth, I.P., Etzion, E., Fabbri, F., Feld, L., Ferrari, P., Fiedler, F., Fleck, I., Ford, M., Frey, A., Gagnon, P., Gary, J.W., Gascon-Shotkin, S.M., Gaycken, G., Geich-Gimbel, C., Giacomelli, G., Giacomelli, P., Giunta, M., Goldberg, J., Gross, E., Grunhaus, J., Gruwé, M., Günther, P.O., Gupta, A., Hajdu, C., Hamann, M., Hanson, G.G., Harel, A., Hauschild, M., Hawkes, C.M., Hawkings, R., Hemingway, R.J., Herten, G., Heuer, R.D., Hill, J.C., Hoffman, K., Horváth, D., Igo-Kemenes, P., Ishii, K., Jeremie, H., Jost, U., Jovanovic, P., Junk, T.R., Kanaya, N., Kanzaki, J., Karlen, D., Kawagoe, K., Kawamoto, T., Keeler, R.K., Kellogg, R.G., Kennedy, B.W., Kluth, S., Kobayashi, T., Kobel, M., Komamiya, S., Krämer, T., Krieger, P., von Krogh, J., Kruger, K., Kuhl, T., Kupper, M., Lafferty, G.D., Landsman, H., Lanske, D., Layter, J.G., Lellouch, D., Letts, J., Levinson, L., Lillich, J., Lloyd, S.L., Loebinger, F.K., Lu, J., Ludwig, A., Ludwig, J., Mader, W., Marcellini, S., Martin, A.J., Masetti, G., Mashimo, T., Mättig, P., McKenna, J., McPherson, R.A., Meijers, F., Menges, W., Merritt, F.S., Mes, H., Meyer, N., Michelini, A., Mihara, S., Mikenberg, G., Miller, D.J., Moed, S., Mohr, W., Mori, T., Mutter, A., Nagai, K., Nakamura, I., Nanjo, H., Neal, H.A., Nisius, R., O’Neale, S.W., Oh, A., Oreglia, M.J., Orito, S., Pahl, C., Pásztor, G., Pater, J.R., Pilcher, J.E., Pinfold, J., Plane, D.E., Poli, B., Pooth, O., Przybycień, M., Quadt, A., Rabbertz, K., Rembser, C., Renkel, P., Roney, J.M., Rozen, Y., Runge, K., Sachs, K., Saeki, T., Sarkisyan, E.K.G., Schaile, A.D., Schaile, O., Scharff-Hansen, P., Schieck, J., Schörner-Sadenius, T., Schröder, M., Schumacher, M., Scott, W.G., Seuster, R., Shears, T.G., Shen, B.C., Sherwood, P., Skuja, A., Smith, A.M., Sobie, R., Söldner-Rembold, S., Spano, F., Stahl, A., Strom, D., Ströhmer, R., Tarem, S., Tasevsky, M., Teuscher, R., Thomson, M.A., Torrence, E., Toya, D., Tran, P., Trigger, I., Trócsányi, Z., Tsur, E., Turner-Watson, M.F., Ueda, I., Ujvári, B., Vollmer, C.F., Vannerem, P., Vértesi, R., Verzocchi, M., Voss, H., Vossebeld, J., Ward, C.P., Ward, D.R., Watkins, P.M., Watson, A.T., Watson, N.K., Wells, P.S., Wengler, T., Wermes, N., Wilson, G.W., Wilson, J.A., Wolf, G., Wyatt, T.R., Yamashita, S., Zer-Zion, D., Zivkovic, L., Heinemeyer, S., Pilaftsis, A., Weiglein, G., and The LEP Working Group for Higgs Boson Searches

Published
2006
Full Text
View/download PDF

46. Discriminating Biomolecules with Coherent Control Strategies

Author

Ariana Rondi, Matthias Roth, Jonathan Roslund, Jean-Pierre Wolf, Luigi Bonacina, Stefan Weber, Jérôme Extermann, Sarah Machado, Denis Kiselev, and Herschel Rabitz

Subjects
Optimal dynamic discrimination, Chemistry, QD1-999
Abstract

The activity of the GAP-Biophotonics research group at the University of Geneva in the field of coherent control for discriminating similar biomolecules, such as flavins, proteins and DNA bases, is presented and future developments are discussed.

Published
2011
Full Text
View/download PDF

47. Diabetes Alone should not be a Reason for Withholding Adjuvant Chemotherapy for Stage III Colon Cancer

Author

Maren A. van Waalwijk, Saskia A. M. van de Schans, Harm R. Haak, Martine Extermann, Wouter M. W. Dercksen, and Maryska L. G. Janssen-Heijnen

Subjects
Medicine
Abstract

Background With increasing prevalence of diabetes mellitus and colon cancer, the number of patients suffering from both diseases is growing, and physicians are being faced with complicated treatment decisions. Objective To investigate the association between diabetes and treatment/course of stage III colon cancer and the association between colon cancer and course of diabetes. Materials and Methods Additional information was collected from the medical records of all patients with both stage III colon cancer and diabetes ( n =201) and a random sample of stage III colon cancer patients without diabetes ( n =206) in the area of the population-based Eindhoven Cancer Registry (1998–2007). Results Colon cancer patients without diabetes were more likely to receive adjuvant chemotherapy compared with diabetic colon cancer patients (OR 1.8; 95% CI 1.2–2.7). After adjustment for age, this difference was borderline significant (OR 1.6; 95% CI 1.0–2.6). Diabetic patients did not have: significantly more side-effects from surgery or adjuvant chemotherapy; more recurrence from colon cancer; significantly shorter time interval until recurrence; or a poorer disease-free survival or overall survival. Age and withholding of adjuvant chemotherapy were most predictive of all-cause mortality. After colon cancer diagnosis, the dose of antiglycaemic medications was increased in 22% of diabetic patients, resulting in significantly lower glycaemic indexes than before colon cancer diagnosis. Conclusions Since diabetic patients did not have more side-effects of adjuvant chemotherapy, and adjuvant chemotherapy had a positive effect on survival for both patients with and without diabetes, diabetes alone should not be a reason for withholding adjuvant chemotherapy.

Published
2011
Full Text
View/download PDF

50. A silicon microstrip tracker in space: Experience with the AMS silicon tracker on STS-91

Author

Alcaraz, J., Alpat, B., Ambrosi, G., Azzarello, P., Battiston, R., Béné, P., Berdugo, J., Bertucci, B., Biland, A., Blasko, S., Bourquin, M., Burger, W. J., Cai, X. D., Capell, M., Casaus, J., Cristinziani, M., Dai, T. S., Emonet, P., Eronen, T., Extermann, P., Fiandrini, E., Hasan, A., Hofer, H., Klimentov, A., Laitinen, T., Lamanna, G., Lebedev, A., Levtchenko, P., Lübelsmeyer, K., Lustermann, W., Menichelli, M., Pauluzzi, M., Perrin, E., Produit, N., Rapin, D., Raupach, F., Ren, D., Ribordy, M., Richeux, J. -P., Riihonen, E., Shoutko, V., Suter, H., Torsti, J., Ulbricht, J., Vandenhirtz, J., Viertel, G., Vité, D., Wallraff, W., Weisgerber, M., and Wu, S. X.

Published
1999
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results