Abstract
In the GRADE approach, randomized trials are classified as high quality evidence and observational studies as low quality evidence but both can be rated down if a body of evidence is associated with a high risk of publication bias. Even when individual studies included in best-evidence summaries have a low risk of bias, publication bias can result in substantial overestimates of effect. Authors should suspect publication bias when available evidence comes from a number of small studies most of which have been commercially funded. A number of approaches based on examination of the pattern of data are available to help assess publication bias. The most popular of these is the funnel plot; all, however, have substantial limitations. Publication bias is likely frequent, and caution in the face of early results, particularly with small sample size and number of events, is warranted.
| Translated title of the contribution | GRADE guidelines: 5. Rating the quality of evidence - Publication bias |
|---|---|
| Original language | German |
| Pages (from-to) | 670-676 |
| Number of pages | 7 |
| Journal | Zeitschrift fur Evidenz, Fortbildung und Qualitat im Gesundheitswesen |
| Volume | 106 |
| Issue number | 9 |
| DOIs | |
| State | Published - 2012 |
Keywords
- confidence in estimates
- GRADE
- publication bias
- quality of evidence
- systematic reviews
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