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20,172 results on '"Howard, D."'

301. Supplemental Table 3 from New-Onset Diabetes after an Obesity-Related Cancer Diagnosis and Survival Outcomes in the Women's Health Initiative

Author

Karra, Prasoona, primary, Hardikar, Sheetal, primary, Winn, Maci, primary, Anderson, Garnet L., primary, Haaland, Benjamin, primary, Krick, Benjamin, primary, Thomson, Cynthia A., primary, Shadyab, Aladdin, primary, Luo, Juhua, primary, Saquib, Nazmus, primary, Strickler, Howard D., primary, Chlebowski, Rowan, primary, Arthur, Rhonda S., primary, Summers, Scott A., primary, Holland, William L., primary, Jalili, Thunder, primary, and Playdon, Mary C., primary

Published
2023
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302. Supplementary Figure S2 from Sex-Specific Associations between Adiponectin and Leptin Signaling and Pancreatic Cancer Survival

Author

Babic, Ana, primary, Wang, Qiao-Li, primary, Lee, Alice A., primary, Yuan, Chen, primary, Rifai, Nader, primary, Luo, Juhua, primary, Tabung, Fred K., primary, Shadyab, Aladdin H., primary, Wactawski-Wende, Jean, primary, Saquib, Nazmus, primary, Kim, Jihye, primary, Kraft, Peter, primary, Sesso, Howard D., primary, Buring, Julie E., primary, Giovannucci, Edward L., primary, Manson, JoAnn E., primary, Stampfer, Meir J., primary, Ng, Kimmie, primary, Fuchs, Charles S., primary, and Wolpin, Brian M., primary

Published
2023
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303. Supplemental Methods and Results from New-Onset Diabetes after an Obesity-Related Cancer Diagnosis and Survival Outcomes in the Women's Health Initiative

Author

Karra, Prasoona, primary, Hardikar, Sheetal, primary, Winn, Maci, primary, Anderson, Garnet L., primary, Haaland, Benjamin, primary, Krick, Benjamin, primary, Thomson, Cynthia A., primary, Shadyab, Aladdin, primary, Luo, Juhua, primary, Saquib, Nazmus, primary, Strickler, Howard D., primary, Chlebowski, Rowan, primary, Arthur, Rhonda S., primary, Summers, Scott A., primary, Holland, William L., primary, Jalili, Thunder, primary, and Playdon, Mary C., primary

Published
2023
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304. Supplemental Table 5 from New-Onset Diabetes after an Obesity-Related Cancer Diagnosis and Survival Outcomes in the Women's Health Initiative

Author

Karra, Prasoona, primary, Hardikar, Sheetal, primary, Winn, Maci, primary, Anderson, Garnet L., primary, Haaland, Benjamin, primary, Krick, Benjamin, primary, Thomson, Cynthia A., primary, Shadyab, Aladdin, primary, Luo, Juhua, primary, Saquib, Nazmus, primary, Strickler, Howard D., primary, Chlebowski, Rowan, primary, Arthur, Rhonda S., primary, Summers, Scott A., primary, Holland, William L., primary, Jalili, Thunder, primary, and Playdon, Mary C., primary

Published
2023
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305. Data from Sex-Specific Associations between Adiponectin and Leptin Signaling and Pancreatic Cancer Survival

Author

Babic, Ana, primary, Wang, Qiao-Li, primary, Lee, Alice A., primary, Yuan, Chen, primary, Rifai, Nader, primary, Luo, Juhua, primary, Tabung, Fred K., primary, Shadyab, Aladdin H., primary, Wactawski-Wende, Jean, primary, Saquib, Nazmus, primary, Kim, Jihye, primary, Kraft, Peter, primary, Sesso, Howard D., primary, Buring, Julie E., primary, Giovannucci, Edward L., primary, Manson, JoAnn E., primary, Stampfer, Meir J., primary, Ng, Kimmie, primary, Fuchs, Charles S., primary, and Wolpin, Brian M., primary

Published
2023
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306. Supplemental Table 2 from New-Onset Diabetes after an Obesity-Related Cancer Diagnosis and Survival Outcomes in the Women's Health Initiative

Author

Karra, Prasoona, primary, Hardikar, Sheetal, primary, Winn, Maci, primary, Anderson, Garnet L., primary, Haaland, Benjamin, primary, Krick, Benjamin, primary, Thomson, Cynthia A., primary, Shadyab, Aladdin, primary, Luo, Juhua, primary, Saquib, Nazmus, primary, Strickler, Howard D., primary, Chlebowski, Rowan, primary, Arthur, Rhonda S., primary, Summers, Scott A., primary, Holland, William L., primary, Jalili, Thunder, primary, and Playdon, Mary C., primary

Published
2023
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307. Supplementary Table S5 from Sex-Specific Associations between Adiponectin and Leptin Signaling and Pancreatic Cancer Survival

Author

Babic, Ana, primary, Wang, Qiao-Li, primary, Lee, Alice A., primary, Yuan, Chen, primary, Rifai, Nader, primary, Luo, Juhua, primary, Tabung, Fred K., primary, Shadyab, Aladdin H., primary, Wactawski-Wende, Jean, primary, Saquib, Nazmus, primary, Kim, Jihye, primary, Kraft, Peter, primary, Sesso, Howard D., primary, Buring, Julie E., primary, Giovannucci, Edward L., primary, Manson, JoAnn E., primary, Stampfer, Meir J., primary, Ng, Kimmie, primary, Fuchs, Charles S., primary, and Wolpin, Brian M., primary

Published
2023
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308. Supplemental Table 6 from New-Onset Diabetes after an Obesity-Related Cancer Diagnosis and Survival Outcomes in the Women's Health Initiative

Author

Karra, Prasoona, primary, Hardikar, Sheetal, primary, Winn, Maci, primary, Anderson, Garnet L., primary, Haaland, Benjamin, primary, Krick, Benjamin, primary, Thomson, Cynthia A., primary, Shadyab, Aladdin, primary, Luo, Juhua, primary, Saquib, Nazmus, primary, Strickler, Howard D., primary, Chlebowski, Rowan, primary, Arthur, Rhonda S., primary, Summers, Scott A., primary, Holland, William L., primary, Jalili, Thunder, primary, and Playdon, Mary C., primary

Published
2023
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309. Supplemental Table 7 from New-Onset Diabetes after an Obesity-Related Cancer Diagnosis and Survival Outcomes in the Women's Health Initiative

Author

Karra, Prasoona, primary, Hardikar, Sheetal, primary, Winn, Maci, primary, Anderson, Garnet L., primary, Haaland, Benjamin, primary, Krick, Benjamin, primary, Thomson, Cynthia A., primary, Shadyab, Aladdin, primary, Luo, Juhua, primary, Saquib, Nazmus, primary, Strickler, Howard D., primary, Chlebowski, Rowan, primary, Arthur, Rhonda S., primary, Summers, Scott A., primary, Holland, William L., primary, Jalili, Thunder, primary, and Playdon, Mary C., primary

Published
2023
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310. Supplementary Figure S2 from Genetic Susceptibility to Nonalcoholic Fatty Liver Disease and Risk for Pancreatic Cancer: Mendelian Randomization

Author

King, Sontoria D., primary, Veliginti, Swathi, primary, Brouwers, Martijn C.G.J., primary, Ren, Zhewen, primary, Zheng, Wei, primary, Setiawan, Veronica W., primary, Wilkens, Lynne R., primary, Shu, Xiao-Ou, primary, Arslan, Alan A., primary, Beane Freeman, Laura E., primary, Bracci, Paige M., primary, Canzian, Federico, primary, Du, Mengmeng, primary, Gallinger, Steven J., primary, Giles, Graham G., primary, Goodman, Phyllis J., primary, Haiman, Christopher A., primary, Kogevinas, Manolis, primary, Kooperberg, Charles, primary, LeMarchand, Loic, primary, Neale, Rachel E., primary, Visvanathan, Kala, primary, White, Emily, primary, Albanes, Demetrius, primary, Andreotti, Gabriella, primary, Babic, Ana, primary, Berndt, Sonja I., primary, Brais, Lauren K., primary, Brennan, Paul, primary, Buring, Julie E., primary, Rabe, Kari G., primary, Bamlet, William R., primary, Chanock, Stephen J., primary, Fuchs, Charles S., primary, Gaziano, J. Michael, primary, Giovannucci, Edward L., primary, Hackert, Thilo, primary, Hassan, Manal M., primary, Katzke, Verena, primary, Kurtz, Robert C., primary, Lee, I.-Min, primary, Malats, Núria, primary, Murphy, Neil, primary, Oberg, Ann L., primary, Orlow, Irene, primary, Porta, Miquel, primary, Real, Francisco X., primary, Rothman, Nathaniel, primary, Sesso, Howard D., primary, Silverman, Debra T., primary, Thompson, Ian M., primary, Wactawski-Wende, Jean, primary, Wang, Xiaoliang, primary, Wentzensen, Nicolas, primary, Yu, Herbert, primary, Zeleniuch-Jacquotte, Anne, primary, Yu, Kai, primary, Wolpin, Brian M., primary, Duell, Eric J., primary, Li, Donghui, primary, Hung, Rayjean J., primary, Perdomo, Sandra, primary, McCullough, Marjorie L., primary, Freedman, Neal D., primary, Patel, Alpa V., primary, Peters, Ulrike, primary, Riboli, Elio, primary, Sund, Malin, primary, Tjønneland, Anne, primary, Zhong, Jun, primary, Van Den Eeden, Stephen K., primary, Kraft, Peter, primary, Risch, Harvey A., primary, Amundadottir, Laufey T., primary, Klein, Alison P., primary, Stolzenberg-Solomon, Rachael Z., primary, and Antwi, Samuel O., primary

Published
2023
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311. Supplementary Table S6 from Genetic Susceptibility to Nonalcoholic Fatty Liver Disease and Risk for Pancreatic Cancer: Mendelian Randomization

Author

King, Sontoria D., primary, Veliginti, Swathi, primary, Brouwers, Martijn C.G.J., primary, Ren, Zhewen, primary, Zheng, Wei, primary, Setiawan, Veronica W., primary, Wilkens, Lynne R., primary, Shu, Xiao-Ou, primary, Arslan, Alan A., primary, Beane Freeman, Laura E., primary, Bracci, Paige M., primary, Canzian, Federico, primary, Du, Mengmeng, primary, Gallinger, Steven J., primary, Giles, Graham G., primary, Goodman, Phyllis J., primary, Haiman, Christopher A., primary, Kogevinas, Manolis, primary, Kooperberg, Charles, primary, LeMarchand, Loic, primary, Neale, Rachel E., primary, Visvanathan, Kala, primary, White, Emily, primary, Albanes, Demetrius, primary, Andreotti, Gabriella, primary, Babic, Ana, primary, Berndt, Sonja I., primary, Brais, Lauren K., primary, Brennan, Paul, primary, Buring, Julie E., primary, Rabe, Kari G., primary, Bamlet, William R., primary, Chanock, Stephen J., primary, Fuchs, Charles S., primary, Gaziano, J. Michael, primary, Giovannucci, Edward L., primary, Hackert, Thilo, primary, Hassan, Manal M., primary, Katzke, Verena, primary, Kurtz, Robert C., primary, Lee, I.-Min, primary, Malats, Núria, primary, Murphy, Neil, primary, Oberg, Ann L., primary, Orlow, Irene, primary, Porta, Miquel, primary, Real, Francisco X., primary, Rothman, Nathaniel, primary, Sesso, Howard D., primary, Silverman, Debra T., primary, Thompson, Ian M., primary, Wactawski-Wende, Jean, primary, Wang, Xiaoliang, primary, Wentzensen, Nicolas, primary, Yu, Herbert, primary, Zeleniuch-Jacquotte, Anne, primary, Yu, Kai, primary, Wolpin, Brian M., primary, Duell, Eric J., primary, Li, Donghui, primary, Hung, Rayjean J., primary, Perdomo, Sandra, primary, McCullough, Marjorie L., primary, Freedman, Neal D., primary, Patel, Alpa V., primary, Peters, Ulrike, primary, Riboli, Elio, primary, Sund, Malin, primary, Tjønneland, Anne, primary, Zhong, Jun, primary, Van Den Eeden, Stephen K., primary, Kraft, Peter, primary, Risch, Harvey A., primary, Amundadottir, Laufey T., primary, Klein, Alison P., primary, Stolzenberg-Solomon, Rachael Z., primary, and Antwi, Samuel O., primary

Published
2023
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312. Data from Genetic Susceptibility to Nonalcoholic Fatty Liver Disease and Risk for Pancreatic Cancer: Mendelian Randomization

Author

King, Sontoria D., primary, Veliginti, Swathi, primary, Brouwers, Martijn C.G.J., primary, Ren, Zhewen, primary, Zheng, Wei, primary, Setiawan, Veronica W., primary, Wilkens, Lynne R., primary, Shu, Xiao-Ou, primary, Arslan, Alan A., primary, Beane Freeman, Laura E., primary, Bracci, Paige M., primary, Canzian, Federico, primary, Du, Mengmeng, primary, Gallinger, Steven J., primary, Giles, Graham G., primary, Goodman, Phyllis J., primary, Haiman, Christopher A., primary, Kogevinas, Manolis, primary, Kooperberg, Charles, primary, LeMarchand, Loic, primary, Neale, Rachel E., primary, Visvanathan, Kala, primary, White, Emily, primary, Albanes, Demetrius, primary, Andreotti, Gabriella, primary, Babic, Ana, primary, Berndt, Sonja I., primary, Brais, Lauren K., primary, Brennan, Paul, primary, Buring, Julie E., primary, Rabe, Kari G., primary, Bamlet, William R., primary, Chanock, Stephen J., primary, Fuchs, Charles S., primary, Gaziano, J. Michael, primary, Giovannucci, Edward L., primary, Hackert, Thilo, primary, Hassan, Manal M., primary, Katzke, Verena, primary, Kurtz, Robert C., primary, Lee, I.-Min, primary, Malats, Núria, primary, Murphy, Neil, primary, Oberg, Ann L., primary, Orlow, Irene, primary, Porta, Miquel, primary, Real, Francisco X., primary, Rothman, Nathaniel, primary, Sesso, Howard D., primary, Silverman, Debra T., primary, Thompson, Ian M., primary, Wactawski-Wende, Jean, primary, Wang, Xiaoliang, primary, Wentzensen, Nicolas, primary, Yu, Herbert, primary, Zeleniuch-Jacquotte, Anne, primary, Yu, Kai, primary, Wolpin, Brian M., primary, Duell, Eric J., primary, Li, Donghui, primary, Hung, Rayjean J., primary, Perdomo, Sandra, primary, McCullough, Marjorie L., primary, Freedman, Neal D., primary, Patel, Alpa V., primary, Peters, Ulrike, primary, Riboli, Elio, primary, Sund, Malin, primary, Tjønneland, Anne, primary, Zhong, Jun, primary, Van Den Eeden, Stephen K., primary, Kraft, Peter, primary, Risch, Harvey A., primary, Amundadottir, Laufey T., primary, Klein, Alison P., primary, Stolzenberg-Solomon, Rachael Z., primary, and Antwi, Samuel O., primary

Published
2023
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313. A cryo-EM grid preparation device for time-resolved structural studies

Author

Dimitrios Kontziampasis, David P. Klebl, Matthew G. Iadanza, Charlotte A. Scarff, Florian Kopf, Frank Sobott, Diana C. F. Monteiro, Martin Trebbin, Stephen P. Muench, and Howard D. White

Subjects
time-resolved cryo-em, sample preparation, microscope hardware, structural biology, voltage-assisted spraying, Crystallography, QD901-999
Abstract

Structural biology generally provides static snapshots of protein conformations that can provide information on the functional mechanisms of biological systems. Time-resolved structural biology provides a means to visualize, at near-atomic resolution, the dynamic conformational changes that macromolecules undergo as they function. X-ray free-electron-laser technology has provided a powerful tool to study enzyme mechanisms at atomic resolution, typically in the femtosecond to picosecond timeframe. Complementary to this, recent advances in the resolution obtainable by electron microscopy and the broad range of samples that can be studied make it ideally suited to time-resolved approaches in the microsecond to millisecond timeframe to study large loop and domain motions in biomolecules. Here we describe a cryo-EM grid preparation device that permits rapid mixing, voltage-assisted spraying and vitrification of samples. It is shown that the device produces grids of sufficient ice quality to enable data collection from single grids that results in a sub-4 Å reconstruction. Rapid mixing can be achieved by blot-and-spray or mix-and-spray approaches with a delay of ∼10 ms, providing greater temporal resolution than previously reported mix-and-spray approaches.

Published
2019
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314. Correlation between microstructure and magnetotransport in organic semiconductor spin valve structures

Author

Liu, Yaohua, Watson, Shannon M., Lee, Taegweon, Gorham, Justin M., Katz, Howard E., Borchers, Julie A., Fairbrother, Howard D., and Reich, Daniel H.

Subjects
Condensed Matter - Materials Science
Abstract

We have studied magnetotransport in organic-inorganic hybrid multilayer junctions. In these devices, the organic semiconductor (OSC) Alq$_3$ (tris(8-hydroxyquinoline) aluminum) formed a spacer layer between ferromagnetic (FM) Co and Fe layers. The thickness of the Alq$_3$ layer was in the range of 50-150 nm. Positive magnetoresistance (MR) was observed at 4.2 K in a current perpendicular to plane geometry, and these effects persisted up to room temperature. The devices' microstructure was studied by X-ray reflectometry, Auger electron spectroscopy and polarized neutron reflectometry (PNR). The films show well-defined layers with modest average chemical roughness (3-5 nm) at the interface between the Alq$_3$ and the surrounding FM layers. Reflectometry shows that larger MR effects are associated with smaller FM/Alq$_3$ interface width (both chemical and magnetic) and a magnetically dead layer at the Alq$_3$/Fe interface. The PNR data also show that the Co layer, which was deposited on top of the Alq$_3$, adopts a multi-domain magnetic structure at low field and a perfect anti-parallel state is not obtained. The origins of the observed MR are discussed and attributed to spin coherent transport. A lower bound for the spin diffusion length in Alq$_3$ was estimated as $43 \pm 5$ nm at 80 K. However, the subtle correlations between microstructure and magnetotransport indicate the importance of interfacial effects in these systems., Comment: 21 pages, 11 figures and 2 tables

Published
2008
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315. Aspirin has potential benefits for primary prevention of cardiovascular outcomes in diabetes: updated literature-based and individual participant data meta-analyses of randomized controlled trials

Author

Samuel Seidu, Setor K. Kunutsor, Howard D. Sesso, J. M. Gaziano, J. E. Buring, Maria Carla Roncaglioni, and Kamlesh Khunti

Subjects
Aspirin, Diabetes, Primary prevention, Cardiovascular disease, All-cause mortality, Meta-analysis, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

Abstract Background The clinical benefit of aspirin for the primary prevention of cardiovascular disease (CVD) in diabetes remains uncertain. To evaluate the efficacy and safety of aspirin for the primary prevention of cardiovascular outcomes and all-cause mortality events in people with diabetes, we conducted an updated meta-analysis of published randomised controlled trials (RCTs) and a pooled analysis of individual participant data (IPD) from three trials. Methods Randomised controlled trials of aspirin compared with placebo (or no treatment) in participants with diabetes with no known CVD were identified from MEDLINE, Embase, Cochrane Library, and manual search of bibliographies to January 2019. Relative risks with 95% confidence intervals were used as the summary measures of associations. Results We included 12 RCTs based on 34,227 participants with a median treatment duration of 5.0 years. Comparing aspirin use with no aspirin, there was a significant reduction in risk of major adverse cardiovascular events (MACE)0.89 (0.83–0.95), with a number needed to treat (NNT)of 95 (95% CI 61 to 208) to prevent one MACE over 5 years average follow-up. Evidence was lacking of heterogeneity and publication bias among contributing trials for MACE. Aspirin use had no effect on other endpoints including all-cause mortality; however, there was a significant reduction in stroke for aspirin dosage ≤ 100 mg/day 0.75 (0.59–0.95). There were no significant effects of aspirin use on major bleeding and other bleeding events, though some of the estimates were imprecise. Pooled IPD from the three trials (2306 participants) showed no significant evidence of an effect of aspirin on any of the outcomes evaluated; however, aspirin reduced the risk of MACE in non-smokers 0.70 (0.51–0.96) with a NNT of 33 (95% CI 20 to 246) to prevent one MACE. Conclusions Aspirin has potential benefits in cardiovascular primary prevention in diabetes. The use of low dose aspirin may need to be individualised and based on each individual’s baseline CVD and bleeding risk. Systematic review registration PROSPERO: CRD42019122326

Published
2019
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316. A comparison of methodologies for the real-time identification of hospitalized patients with acute exacerbations of COPD

Author

Shah P, McWilliams A, Howard D, and Roberge J

Subjects
AECOPD, Quality Improvement, Outcomes Research, Diseases of the respiratory system, RC705-779
Abstract

Parth Shah,1 Andrew McWilliams,2 Daniel Howard,3 Jason Roberge4 1UNC School of Medicine, Center for Outcomes Research and Evaluation, Atrium Health, Charlotte, NC 28203, USA; 2Carolinas Hospitalist Group, Center for Outcomes Research and Evaluation, Atrium Health, Charlotte, NC 28203, USA; 3Medical Group Division, Atrium Health, Charlotte, NC 28232, USA; 4Center for Outcomes Research and Evaluation, Atrium Health, Charlotte, NC 28203, USA Background: COPD is a lung disease characterized by chronic, irreversible airway obstruction that can precipitate into acute exacerbations of COPD (AECOPD) often requiring hospitalization. Improving these outcomes will require proactive innovations in care delivery to at-risk populations. Data-driven models to identify patients with AECOPD on admission to the hospital are needed, but do not exist. Objective: This study aimed to compare the performance of several models designed to identify patients with AECOPD within 24 hours of hospital admission. Methods: Clinical factors associated with admissions for AECOPD that are available within 24 hours of an encounter were combined into six different models and then tested retrospectively to evaluate each model’s performance in predicting AECOPD. The data set incorporated billing and clinical data from patients who were older than 40 years of age with an inpatient or observation encounter in 2016 at one of the nine hospitals within a large integrated healthcare system. Results: Of the 116,329 encounters, 6,383 had a billing diagnosis for AECOPD. The models showed a wide range of sensitivity (0.473 vs 0.963) and positive predictive value (0.190 vs 0.827). Conclusion: It is possible to leverage clinical and administrative data to identify patients admitted with AECOPD in real-time for quality improvement or research purposes. Because models relied on clinical data, local variation in care delivery also likely contributed to performance variation across hospitals. These findings emphasize the importance of testing model performance on local data and choosing the model that best aligns with the specific goals of the targeted initiative. Keywords: quality improvement, outcomes research, AECOPD, model, validity

Published
2019

346. List of Contributors

Author

Belkowska-Woloczko, Dorota, primary, Berglund, Larry G., additional, Cao, Guangyu, additional, Coxon, Chris, additional, Curd, Eric F., additional, Goodfellow, Howard D., additional, Hagström, Kim, additional, Huang, Congxin, additional, Hyttinen, Marko, additional, Jussila, Kirsi, additional, Justo-Alonso, Maria, additional, Juvonen, Risto, additional, Kalliokoski, Pentti, additional, Kaufman, Jonathan W., additional, Kosonen, Risto, additional, Landström, Ulf, additional, Li, Angui, additional, Li, Xianting, additional, Liu, Peng, additional, Ma, Jishuai, additional, Mathisen, Hans Martin, additional, Mundt, Elisabeth, additional, Pasanen, Pertti, additional, Piirilä, Päivi, additional, Posokhin, Vladimir, additional, Railio, Jorma, additional, Ratcliff, Mike, additional, Rissanen, Sirkka, additional, Rysä, Jaana, additional, Saarinen, Pekka, additional, Savolainen, Kai M., additional, Shao, Xiaoliang, additional, Shilkrot, Eugene, additional, Skistad, Håkon, additional, Strongin, Andrey, additional, Viluksela, Matti, additional, Wenaas, Terje Arne, additional, White, Paul, additional, Yang, Yang, additional, Zhang, Tengfei, additional, Zhao, Fuyun, additional, Zhivov, Alexander, additional, and Zhou, Bin, additional

Published
2020
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