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A standard method for detecting publication bias is a funnel graph.
Results of the Begg adjusted rank correlation test for detecting publication bias were negative (SUA, P = 0.576; hyperuricemia, 0.452).
However, we did not evaluate publication bias because much controversy remains about the applied statistical methods and outcomes in studies detecting publication bias [ 59].
Figure 2 shows a Begg funnel plot for detecting publication bias in all the NSAID and upper GI adenocarcinoma literature combined.
Because detecting publication bias is difficult, we sought to minimize bias through a medical librarian assisted comprehensive search strategy and the use of study registries.
However there are also downsides: pooling several small studies increases the risk of detecting publication bias rather than a real effect, and also a focus on pooling may distract from the quality of and question asked by individual studies.
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Therefore, funnel plots were used to detect publication bias of the meta-analysis.
Begg's test [118] was used to detect publication bias.
Fifth, we detected publication bias.
To detect publication biases, we explored asymmetry in funnel plots.
We also provide a funnel plot to detect publication biases.
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CEO of Professional Science Editing for Scientists @ prosciediting.com