Novel methods to deal with publication biases: secondary analysis of antidepressant trials in the FDA trial registry database and related journal publications.
OBJECTIVE
To assess the performance of novel contour enhanced funnel plots and a regression based adjustment method to detect and adjust for publication biases.


METHODS
Secondary analysis of a published systematic literature review.


METHODS
Placebo controlled trials of antidepressants previously submitted to the US Food and Drug Administration (FDA) and matching journal publications.


METHODS
Publication biases were identified using novel contour enhanced funnel plots, a regression based adjustment method, Egger's test, and the trim and fill method. Results were compared with a meta-analysis of the gold standard data submitted to the FDA.


RESULTS
Severe asymmetry was observed in the contour enhanced funnel plot that appeared to be heavily influenced by the statistical significance of results, suggesting publication biases as the cause of the asymmetry. Applying the regression based adjustment method to the journal data produced a similar pooled effect to that observed by a meta-analysis of the FDA data. Contrasting journal and FDA results suggested that, in addition to other deviations from study protocol, switching from an intention to treat analysis to a per protocol one would contribute to the observed discrepancies between the journal and FDA results.


CONCLUSIONS
Novel contour enhanced funnel plots and a regression based adjustment method worked convincingly and might have an important part to play in combating publication biases.
Moreno
Santiago G
SG
Department of Health Sciences, University of Leicester, Leicester LE1 7RH. sgm8@le.ac.uk
Sutton
Alex J
AJ
Turner
Erick H
EH
Abrams
Keith R
KR
Cooper
Nicola J
NJ
Palmer
Tom M
TM
Ades
A E
AE
D000928:Antidepressive Agents / Q000627:therapeutic use*; D017594:Publication Bias; D016032:Randomized Controlled Trials as Topic / Q000592:standards* / Q000706:statistics & numerical data; D012042:Registries; D012044:Regression Analysis; D013223:Statistics as Topic; D014481:United States; D014486:United States Food and Drug Administration
D000928:Antidepressive Agents