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Significant asymmetry was noted in the funnel plot, indicating a considerable degree of negative publication bias.
Among other obstacles, poor methodological and statistical standards, negative publication bias, and incomplete preclinical testing have been proposed as 'translational roadblocks'.
Publication bias may play a role in our findings, though we think the strong negative publication record in this regard limits its influence.
For instance, science journalism articles (newspapers) that presented a negative publication tendency regarding SSRIs (ratio=0.7) could not be related to the positive publication tendency found in scientific journals.
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Publication bias usually occurs when negative publications (in our case studies with a low DOR) with a small sample size are not published.
Because we were particularly interested in negative publications, articles were categorized for analysis as "unsafe" versus "other" and as "ineffective" versus "other".
While the precision performance of the classifier is far from perfect, the large numbers of negative publications captured by the SR topic query means that moderate precision performance results in filtering out quite a large number of these false negatives – preventing them from signalling an alert.
In addition, with the same ratings on the evaluation criteria, Ra tends towards a more positive than a more negative final publication recommendation than Re.
The funnel plot of OR versus standard error was symmetric (Figure S2), and Egger's test was negative for publication bias (p = 0.38).
Since studies with statistically positive results were easier to publish than those with negative results, publication bias is inevitable.
Since nearly all studies in our review have negative results, publication bias can not explain the results.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com