Inadequate reporting of trials compromises the applicability of systematic reviews
Abstract
Background Uncertainty about the applicability of controlled trial findings is an increasing concern for clinicians and policy decision makers. This study aimed to determine whether information reported in studies included in systematic reviews was adequate enough to assess their applicability. Methods We used the databases of four recently conducted systematic reviews on the comparative efficacy and safety of second-generation antidepressants, inhaled corticosteroids, Alzheimer's drugs, and targeted immune modulators. We developed and pilot-tested a questionnaire to assess the adequacy of reporting with respect to seven previously validated criteria of study design that distinguish explanatory from pragmatic studies. For each of the 137 included studies, two reviewers independently assessed the adequacy of reporting. Results Overall, only 12 percent of the included studies provided sufficient information to reliably distinguish explanatory from pragmatic studies. The areas with the greatest lack of reporting were the setting of the study, methods of adverse event assessment, and sample size considerations to determine a minimally important difference from a patient perspective. Conclusions Substantial shortcomings in reporting exist in aspects of study design important to determine whether a study is applicable to specific populations of interest.
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The major methodological problem was the absence of standardized methods to assess subjective adverse events (eg, nausea).
“The major methodological problem in our opinion was the absence of standardized methods to assess subjective adverse events (eg, nausea).”
From Comparative Efficacy and Harms of Duloxetine, Milnacipran, and Pregabalin in Fibromyalgia Syndrome (2010) · cites this paper as [28]
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Improving the reporting of pragmatic trials: An extension of the CONSORT statement
Zwarenstein, M., Treweek, S., Gagnier, J. J., Altman, D. G., Tunis, S., Haynes, B., Oxman, A. D., Moher, D., & groups, F. T. C. A. P. T. I. H. (. (2008) · BMJ · doi:10.1136/bmj.a2390 · Cited by 1,813 · see citing works
Plint, A. C., Moher, D., Morrison, A., Schulz, K., Altman, D. G., Hill, C., & Gaboury, I. (2006) · Medical Journal of Australia · doi:10.5694/j.1326-5377.2006.tb00557.x · Cited by 872 · see citing works
Hewitt, C., Hahn, S., Torgerson, D. J., Watson, J., & Bland, J. M. (2005) · BMJ · doi:10.1136/bmj.38413.576713.ae · Cited by 176 · see citing works
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Comparative Efficacy and Harms of Duloxetine, Milnacipran, and Pregabalin in Fibromyalgia Syndrome
Häuser, W., Petzke, F., & Sommer, C. (2010) · The Journal of Pain · doi:10.1016/j.jpain.2010.01.002 · Cited by 216 · see citing works
- Authors
- Gartlehner, G., Thieda, P., Hansen, R. A., Morgan, L. C., Shumate, J. A., & Nissman, D. B.
- Affiliations
- Universität für Weiterbildung Krems (AT)
- University of North Carolina at Chapel Hill (US)
- University of North Carolina Hospitals (US)
- Medical University of South Carolina (US)
- Venue
- International Journal of Technology Assessment in Health Care
- Publisher
- Cambridge University Press (CUP)
- Published
- 2009-07
- Volume
- 25
- Issue
- 3
- Pages
- 323-330
- ISSN
- 0266-4623 (ISSN-L)
- 1471-6348
- OpenAlex
- W2128454249
- Cited by
- 11
- References
- 3
- Citations by year
- 2019: 2 · 2014: 3 · 2013: 2
- FWCI
- 0.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Technology Assessment in Health Care (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Clinical practice guidelines implementation
- Keywords
- trial reporting quality, second-generation antidepressants, inhaled corticosteroids, Alzheimer's disease drugs, adverse event assessment, minimally important difference, sample size
- MeSH terms
- Clinical Trials as Topic, Documentation, Publishing, Surveys and Questionnaires
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