Small study effects in meta-analyses of osteoarthritis trials: Meta-epidemiological study
Objective: To examine the presence and extent of small study effects in clinical osteoarthritis research. Design: Meta-epidemiological study. Data sources: 13 meta-analyses including 153 randomised trials (41 605 patients) that compared therapeutic interventions with placebo or nonintervention contr...
| Main Authors: | , , , , , , , |
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| Format: | Journal article |
| Published: |
2010
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| _version_ | 1797089943221174272 |
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| author | Nüesch, E Trelle, S Reichenbach, S Rutjes, A Tschannen, B Egger, M Jüni, P Altman, D |
| author_facet | Nüesch, E Trelle, S Reichenbach, S Rutjes, A Tschannen, B Egger, M Jüni, P Altman, D |
| author_sort | Nüesch, E |
| collection | OXFORD |
| description | Objective: To examine the presence and extent of small study effects in clinical osteoarthritis research. Design: Meta-epidemiological study. Data sources: 13 meta-analyses including 153 randomised trials (41 605 patients) that compared therapeutic interventions with placebo or nonintervention control in patients with osteoarthritis of the hip or knee and used patients' reported pain as an outcome. Methods: We compared estimated benefits of treatment between large trials (at least 100 patients per arm) and small trials, explored funnel plots supplemented with lines of predicted effects and contours of significance, and used three approaches to estimate treatment effects: meta-analyses including all trials irrespective of sample size, meta-analyses restricted to large trials, and treatment effects predicted for large trials. Results: On average, treatment effects were more beneficial in small than in large trials (difference in effect sizes -0.21, 95% confidence interval -0.34 to -0.08, P=0.001). Depending on criteria used, six to eight funnel plots indicated small study effects. In six of 13 meta-analyses, the overall pooled estimate suggested a clinically relevant, significant benefit of treatment, whereas analyses restricted to large trials and predicted effects in large trials yielded smaller non-significant estimates. Conclusions: Small study effects can often distort results of meta-analyses. The influence of small trials on estimated treatment effects should be routinely assessed. |
| first_indexed | 2024-03-07T03:11:19Z |
| format | Journal article |
| id | oxford-uuid:b44e3874-10ec-4409-9583-c4d4dddbbdff |
| institution | University of Oxford |
| last_indexed | 2024-03-07T03:11:19Z |
| publishDate | 2010 |
| record_format | dspace |
| spelling | oxford-uuid:b44e3874-10ec-4409-9583-c4d4dddbbdff2022-03-27T04:25:04ZSmall study effects in meta-analyses of osteoarthritis trials: Meta-epidemiological studyJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:b44e3874-10ec-4409-9583-c4d4dddbbdffSymplectic Elements at Oxford2010Nüesch, ETrelle, SReichenbach, SRutjes, ATschannen, BEgger, MJüni, PAltman, DObjective: To examine the presence and extent of small study effects in clinical osteoarthritis research. Design: Meta-epidemiological study. Data sources: 13 meta-analyses including 153 randomised trials (41 605 patients) that compared therapeutic interventions with placebo or nonintervention control in patients with osteoarthritis of the hip or knee and used patients' reported pain as an outcome. Methods: We compared estimated benefits of treatment between large trials (at least 100 patients per arm) and small trials, explored funnel plots supplemented with lines of predicted effects and contours of significance, and used three approaches to estimate treatment effects: meta-analyses including all trials irrespective of sample size, meta-analyses restricted to large trials, and treatment effects predicted for large trials. Results: On average, treatment effects were more beneficial in small than in large trials (difference in effect sizes -0.21, 95% confidence interval -0.34 to -0.08, P=0.001). Depending on criteria used, six to eight funnel plots indicated small study effects. In six of 13 meta-analyses, the overall pooled estimate suggested a clinically relevant, significant benefit of treatment, whereas analyses restricted to large trials and predicted effects in large trials yielded smaller non-significant estimates. Conclusions: Small study effects can often distort results of meta-analyses. The influence of small trials on estimated treatment effects should be routinely assessed. |
| spellingShingle | Nüesch, E Trelle, S Reichenbach, S Rutjes, A Tschannen, B Egger, M Jüni, P Altman, D Small study effects in meta-analyses of osteoarthritis trials: Meta-epidemiological study |
| title | Small study effects in meta-analyses of osteoarthritis trials: Meta-epidemiological study |
| title_full | Small study effects in meta-analyses of osteoarthritis trials: Meta-epidemiological study |
| title_fullStr | Small study effects in meta-analyses of osteoarthritis trials: Meta-epidemiological study |
| title_full_unstemmed | Small study effects in meta-analyses of osteoarthritis trials: Meta-epidemiological study |
| title_short | Small study effects in meta-analyses of osteoarthritis trials: Meta-epidemiological study |
| title_sort | small study effects in meta analyses of osteoarthritis trials meta epidemiological study |
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