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Make a selection below to explore our full database of 6 results matching: "DI Sessler"
ACE Reports
(6 Reports)
ACE Reports
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Exact search includes articles which contain all of the selected filters. Broad search includes articles that have at least one of the selected filters for each category.
Exact search includes articles which contain all of the selected filters. Broad search includes articles that have at least one of the selected filters for each category.
Arthroplasty
Virtual Reality Distraction for Reducing Acute Postoperative Pain After Hip Arthroplasty: A Randomized Trial.
Anesth Analg. 2024 01-Apr;():. 10.1213/ANE.0000000000006642
Virtual Reality Distraction for Reducing Acute Postoperative Pain After Hip Arthroplasty: A Randomized Trial.
Anesth Analg. 2024 01-Apr;():. 10.1213/ANE.0000000000006642
Trauma
Pain, Analgesic Use, and Patient Satisfaction With Spinal Versus General Anesthesia for Hip Fracture Surgery : A Randomized Clinical Trial
Ann Intern Med. 2022 01-Jul;():. 10.7326/M22-0320
This study has been identified as potentially high impact.
OE's AI-driven High Impact metric estimates the influence a paper is likely to have by integrating signals from both the journal in which it is published and the scientific content of the article itself.
Developed using state-of-the-art natural language processing, the OE High Impact model more accurately predicts a study's future citation performance than journal impact factor alone.
This enables earlier recognition of clinically meaningful research and helps readers focus on articles most likely to shape future practice.
Pain, Analgesic Use, and Patient Satisfaction With Spinal Versus General Anesthesia for Hip Fracture Surgery : A Randomized Clinical Trial
Ann Intern Med. 2022 01-Jul;():. 10.7326/M22-0320
General Orthopaedics
Tranexamic Acid in Patients Undergoing Noncardiac Surgery
N Engl J Med. 2022 02-Apr;():. 10.1056/MEJMoa2201171
This study has been identified as potentially high impact.
OE's AI-driven High Impact metric estimates the influence a paper is likely to have by integrating signals from both the journal in which it is published and the scientific content of the article itself.
Developed using state-of-the-art natural language processing, the OE High Impact model more accurately predicts a study's future citation performance than journal impact factor alone.
This enables earlier recognition of clinically meaningful research and helps readers focus on articles most likely to shape future practice.
Tranexamic Acid in Patients Undergoing Noncardiac Surgery
N Engl J Med. 2022 02-Apr;():. 10.1056/MEJMoa2201171
General Orthopaedics
Opioids for Chronic Noncancer Pain: A Systematic Review and Meta-analysis
JAMA. 2018;320(23):2448–2460. doi:10.1001/jama.2018.18472
Includes Author Interview
Opioids for Chronic Noncancer Pain: A Systematic Review and Meta-analysis
This report has been verified by one or more authors of the original publication.
JAMA. 2018;320(23):2448–2460. doi:10.1001/jama.2018.18472
General Orthopaedics
Aspirin in patients undergoing noncardiac surgery
N Engl J Med. 2014 Apr 17;370(16):1494-503. doi: 10.1056/NEJMoa1401105. Epub 2014 Mar 31
This study has been identified as potentially high impact.
OE's AI-driven High Impact metric estimates the influence a paper is likely to have by integrating signals from both the journal in which it is published and the scientific content of the article itself.
Developed using state-of-the-art natural language processing, the OE High Impact model more accurately predicts a study's future citation performance than journal impact factor alone.
This enables earlier recognition of clinically meaningful research and helps readers focus on articles most likely to shape future practice.
Aspirin in patients undergoing noncardiac surgery
N Engl J Med. 2014 Apr 17;370(16):1494-503. doi: 10.1056/NEJMoa1401105. Epub 2014 Mar 31
General Orthopaedics
Clonidine in patients undergoing noncardiac surgery
N Engl J Med. 2014 Apr 17;370(16):1504-13. doi: 10.1056/NEJMoa1401106. Epub 2014 Mar 31.
This study has been identified as potentially high impact.
OE's AI-driven High Impact metric estimates the influence a paper is likely to have by integrating signals from both the journal in which it is published and the scientific content of the article itself.
Developed using state-of-the-art natural language processing, the OE High Impact model more accurately predicts a study's future citation performance than journal impact factor alone.
This enables earlier recognition of clinically meaningful research and helps readers focus on articles most likely to shape future practice.
Clonidine in patients undergoing noncardiac surgery
N Engl J Med. 2014 Apr 17;370(16):1504-13. doi: 10.1056/NEJMoa1401106. Epub 2014 Mar 31.