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The authors argue that researchers should not abandon P -values but should move away from compartmentalising research findings into two mutually exclusive categories 'statistically significant' and 'statistically insignificant'. They also recommend that researchers consider the magnitudes of their results and report whether findings are meaningful, rather than simply focusing on P -values. Lessening the importance of statistical significance will improve the accuracy of the reporting of results and see research disseminated based on it

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Selective cutoff reporting in primary diagnostic accuracy studies with continuous or ordinal data may result in biased estimates when meta-analyzing studies. Collecting individual participant data (IPD) and estimating accuracy across all relevant cutoffs for all studies can overcome such bias but is labour intensive. We meta-analyzed the diagnostic accuracy of the Patient Health Questionnaire-9 (PHQ-9) depression screening tool. We compared results for two statistical methods proposed by Steinhauser and by Jones to account for missi