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596 results on '"Suri, Pradeep"'

56. Combining Procedural and Behavioral Treatments for Chronic Low Back Pain: A Pilot Randomized Controlled Trial

Author

Tanus, Adrienne, primary, Friedly, Janna, additional, Nishio, Isuta, additional, Williams, Rhonda, additional, Soares, Bosco, additional, Dawson, Timothy, additional, Hsu, Amy, additional, Bambara, Jennifer, additional, Anderson, Derek, additional, Piero, Larissa Del, additional, Korpak, Anna, additional, Timmons, Andrew, additional, Kim, Peggy, additional, and Suri, Pradeep, additional

Published
2023
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57. Consensus for statements regarding a definition for spinal osteoarthritis for use in research and clinical practice:A Delphi study

Author

de Luca, Katie, Chiarotto, Alessandro, Cicuttini, Flavia, Creemers, Laura, de Schepper, Evelien, Ferreira, Paulo H, Foster, Nadine E, Hartvigsen, Jan, Kawchuk, Gregory, Little, Christopher B, Oei, Edwin H, Suri, Pradeep, Vleggeert-Lankamp, Carmen, Bierma-Zeinstra, Sita M A, Ferreira, Manuela L, de Luca, Katie, Chiarotto, Alessandro, Cicuttini, Flavia, Creemers, Laura, de Schepper, Evelien, Ferreira, Paulo H, Foster, Nadine E, Hartvigsen, Jan, Kawchuk, Gregory, Little, Christopher B, Oei, Edwin H, Suri, Pradeep, Vleggeert-Lankamp, Carmen, Bierma-Zeinstra, Sita M A, and Ferreira, Manuela L

Abstract

Objective: To determine consensus among an international, multidisciplinary group of experts regarding definitions of spinal osteoarthritis for research and for clinical practice. Methods: A 15-member, multidisciplinary steering committee generated 117 statements for a 3-round Delphi study. Experts in back pain and/or osteoarthritis were identified and invited to participate. In round 1, participants could propose additional statements for voting. All statements were rated on a 1–9 Likert scale, and consensus was set at ≥70% of respondents agreeing or disagreeing with the statement and <15% of respondents providing the opposite response. Results: In total, 255 experts from 11 different professional backgrounds were invited. From 173 available experts, 116 consented to participate. In round 1, 103 participants completed the survey, followed by 85 of 111 participants in round 2 (77%) and 87 of 101 participants in round 3 (86%). One-third of participants were from Europe (30%), most were male (58%), one-fifth were physical therapists (21%), and over one-third had been in their profession for 11–20 years (35%). Of 131 statements, consensus was achieved for 71 statements (54%): 53 in agreement (75%) and 18 in disagreement (25%). Conclusion: Although there was consensus for statements for definitions of spinal osteoarthritis that were analogous to definitions of osteoarthritis in appendicular joints, a future definition still needs refinement. Importantly, this Delphi highlighted that a future definition should be considered across a spectrum of structural changes and patient symptoms and expressed on a progressive scale.

Published
2023

58. Consensus for statements regarding a definition for spinal osteoarthritis for use in research and clinical practice: A Delphi study

Author

ORT Research, Regenerative Medicine and Stem Cells, de Luca, Katie, Chiarotto, Alessandro, Cicuttini, Flavia, Creemers, Laura, de Schepper, Evelien, Ferreira, Paulo H, Foster, Nadine E, Hartvigsen, Jan, Kawchuk, Gregory, Little, Christopher B, Oei, Edwin H, Suri, Pradeep, Vleggeert-Lankamp, Carmen, Bierma-Zeinstra, Sita M A, Ferreira, Manuela L, ORT Research, Regenerative Medicine and Stem Cells, de Luca, Katie, Chiarotto, Alessandro, Cicuttini, Flavia, Creemers, Laura, de Schepper, Evelien, Ferreira, Paulo H, Foster, Nadine E, Hartvigsen, Jan, Kawchuk, Gregory, Little, Christopher B, Oei, Edwin H, Suri, Pradeep, Vleggeert-Lankamp, Carmen, Bierma-Zeinstra, Sita M A, and Ferreira, Manuela L

Published
2023

61. Imperatives of machine learning in marketing.

Author

Sharma, Sameer Dev, Dasila, Aman Singh, Bisht, Pushkar Singh, Pathak, Abhishek Kumar, Shah, Sanjeev Kumar, Suri, Pradeep, and Thakur, Gaurav

Subjects
MACHINE learning, MARKETING, ARTIFICIAL intelligence, ELECTRIC machines, REINFORCEMENT learning, SCIENTIFIC method, SUPERVISED learning
Abstract

Numerous spheres of life, including marketing, have yet to feel the full influence of machine learning (ML) and artificial intelligence (AI) technology. Regardless of this issue, machine learning offers several potential benefits, including the capacity to utilize more rigorous methodologies for generalizing scientific conclusions. In order to remedy this deficit, this study has three goals. To begin, provide a high-level description of machine learning, covering the various types (unsupervised, supervised and reinforcement learning), algorithms, marketing implications. The second topic is the purpose of machine learning in promotion. Furthermore, the study's objective is to ascertain how future machine learning trends and developments will impact the marketing industry. [ABSTRACT FROM AUTHOR]

Published
2023
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69. Using Natural Language Processing of Free-Text Radiology Reports to Identify Type 1 Modic Endplate Changes

Author

Huhdanpaa, Hannu T., Tan, W. Katherine, Rundell, Sean D., Suri, Pradeep, Chokshi, Falgun H., Comstock, Bryan A., Heagerty, Patrick J., James, Kathryn T., Avins, Andrew L., Nedeljkovic, Srdjan S., Nerenz, David R., Kallmes, David F., Luetmer, Patrick H., Sherman, Karen J., Organ, Nancy L., Griffith, Brent, Langlotz, Curtis P., Carrell, David, Hassanpour, Saeed, and Jarvik, Jeffrey G.

Published
2017
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75. Development and Replication of a Genome-Wide Polygenic Risk Score for Chronic Back Pain.

Author

Tsepilov, Yakov A., Elgaeva, Elizaveta E., Nostaeva, Arina V., Compte, Roger, Kuznetsov, Ivan A., Karssen, Lennart C., Freidin, Maxim B., Suri, Pradeep, Williams, Frances M. K., and Aulchenko, Yurii S.

Subjects
DISEASE risk factors, MONOGENIC & polygenic inheritance (Genetics), BACKACHE, CHRONIC pain, MYOCARDIAL ischemia
Abstract

Chronic back pain (CBP) is a complex heritable trait and a major cause of disability worldwide. We developed and validated a genome-wide polygenic risk score (PRS) for CBP using a large-scale GWAS based on UK Biobank participants of European ancestry (N = 265,000). The PRS showed poor overall predictive ability (AUC = 0.56 and OR = 1.24 per SD, 95% CI: 1.22–1.26), but individuals from the 99th percentile of PRS distribution had a nearly two-fold increased risk of CBP (OR = 1.82, 95% CI: 1.60–2.06). We validated the PRS on an independent TwinsUK sample, obtaining a similar magnitude of effect. The PRS was significantly associated with various ICD-10 and OPCS-4 diagnostic codes, including chronic ischemic heart disease (OR = 1.1, p-value = 4.8 × 10−15), obesity, metabolism-related traits, spine disorders, disc degeneration, and arthritis-related disorders. PRS and environment interaction analysis with twelve known CBP risk factors revealed no significant results, suggesting that the magnitude of G × E interactions with studied factors is small. The limited predictive ability of the PRS that we developed is likely explained by the complexity, heterogeneity, and polygenicity of CBP, for which sample sizes of a few hundred thousand are insufficient to estimate small genetic effects robustly. [ABSTRACT FROM AUTHOR]

Published
2023
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93. Additional file 1 of The Lumbar Stenosis Prognostic Subgroups for Personalizing Care and Treatment (PROSPECTS) study: protocol for an inception cohort study

Author

Rundell, Sean D., Saito, Ayumi, Meier, Eric N., Danyluk, Stephanie T., Jarvik, Jeffrey G., Seebeck, Kelley, Friedly, Janna L., Heagerty, Patrick J., Johnston, Sandra K., Smersh, Monica, Horn, Maggie E., Suri, Pradeep, Cizik, Amy M., and Goode, Adam P.

Abstract

Additional file 1: Supplementary Table. Exclusion diagnosis codes for screening.

Published
2022
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98. Patient, Provider, and Clinic Characteristics Associated with Opioid and Non-Opioid Pain Prescriptions for Patients Receiving Low Back Imaging in Primary Care

Author

Gold, Laura S., primary, Marcum, Zachary A., additional, Meier, Eric N., additional, Turner, Judith A., additional, James, Kathryn T., additional, Kallmes, David F., additional, Luetmer, Patrick H., additional, Griffith, Brent, additional, Sherman, Karen J., additional, Friedly, Janna L., additional, Suri, Pradeep, additional, Deyo, Richard A., additional, Johnston, Sandra K., additional, Avins, Andrew L., additional, Heagerty, Patrick J., additional, and Jarvik, Jeffrey G., additional

Published
2021
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99. Consensus for Statements Regarding a Definition for Spinal Osteoarthritis for Use in Research and Clinical Practice: A Delphi Study

Author

Luca, Katie, Chiarotto, Alessandro, Cicuttini, Flavia, Creemers, Laura, Schepper, Evelien, Ferreira, Paulo H., Foster, Nadine E., Hartvigsen, Jan, Kawchuk, Gregory, Little, Christopher B., Oei, Edwin H., Suri, Pradeep, Vleggeert‐Lankamp, Carmen, Bierma‐Zeinstra, Sita M. A., and Ferreira, Manuela L.

Abstract

To determine consensus among an international, multidisciplinary group of experts regarding definitions of spinal osteoarthritis for research and for clinical practice. A 15‐member, multidisciplinary steering committee generated 117 statements for a 3‐round Delphi study. Experts in back pain and/or osteoarthritis were identified and invited to participate. In round 1, participants could propose additional statements for voting. All statements were rated on a 1–9 Likert scale, and consensus was set at ≥70% of respondents agreeing or disagreeing with the statement and <15% of respondents providing the opposite response. In total, 255 experts from 11 different professional backgrounds were invited. From 173 available experts, 116 consented to participate. In round 1, 103 participants completed the survey, followed by 85 of 111 participants in round 2 (77%) and 87 of 101 participants in round 3 (86%). One‐third of participants were from Europe (30%), most were male (58%), one‐fifth were physical therapists (21%), and over one‐third had been in their profession for 11–20 years (35%). Of 131 statements, consensus was achieved for 71 statements (54%): 53 in agreement (75%) and 18 in disagreement (25%). Although there was consensus for statements for definitions of spinal osteoarthritis that were analogous to definitions of osteoarthritis in appendicular joints, a future definition still needs refinement. Importantly, this Delphi highlighted that a future definition should be considered across a spectrum of structural changes and patient symptoms and expressed on a progressive scale.

Published
2023
Full Text
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