Evaluation of spin in the abstracts of systematic reviews and meta-analyses covering surgical management, or quality of life after surgical management, of osteoarthritis of the knee

Autor: Travis Small, William Nowlin, Matt Vassar, Zhuqi Miao, Parker Siex, Brad Reddick, Jay Thompson, Micah Hartwell, Suhao Chen, Drew Wright, Jake X. Checketts, Ryan Ottwell, Wade Arthur
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Osteoarthritis and Cartilage Open, Vol 2, Iss 4, Pp 100121-(2020)
ISSN: 2665-9131
Popis: Objective Our primary objective was to identify the prevalence of spin — misleading reporting practices that overemphasize benefit or underemphasize harm — within the abstracts of systematic reviews and meta-analyses focused on surgical management of osteoarthritis of the knee. Methods A search string was developed to search Ovid MEDLINE and Ovid Embase for articles pertaining to surgical management, or quality of life after surgical management, of osteoarthritis of the knee. Titles and abstracts were screened according to our protocol, developed a priori, followed by full-text evaluation for spin in included articles. Study characteristics were simultaneously extracted with spin data and each included study received an AMSTAR-2 quality appraisal. All procedures were performed by two examiners in a masked, duplicate fashion. Results Of the 1419 articles returned, 96 systematic reviews qualified for inclusion. 35.4% of the included abstracts (34/96) contained at least one type of spin with a total of 36 occurrences (two abstracts contained two types of spin). Selective reporting favoring benefit (type 3; 15/36, 41.7%) was the most prevalent followed by selective reporting of harms (type 6; 7/36, 19.4%). None of the abstracts contained spin types 2, 4, or 8. We found no significant association between spin and either AMSTAR-2 rating or extracted study characteristics. Conclusion Of the included systematic reviews and meta-analyses, 35.4% contained spin in their abstract. To improve the reliability of systematic reviews and meta-analyses, researchers should act to minimize spin in future abstracts.
Databáze: OpenAIRE