Is there an excess of significant findings in published studies of psychotherapy for depression?

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Is there an excess of significant findings in published studies of psychotherapy for depression? / Flint, J.; Cuijpers, Pim; Horder, J. et al.

in: Psychological Medicine, Jahrgang 45, Nr. 2, 12.01.2015, S. 439-446.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

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Flint J, Cuijpers P, Horder J, Koole SL, Munafò MR. Is there an excess of significant findings in published studies of psychotherapy for depression? Psychological Medicine. 2015 Jan 12;45(2):439-446. doi: 10.1017/S0033291714001421

Bibtex

@article{20ea87624cfd4f7189b05235e6e8f8d1,
title = "Is there an excess of significant findings in published studies of psychotherapy for depression?",
abstract = "BACKGROUND: Many studies have examined the efficacy of psychotherapy for major depressive disorder (MDD) but publication bias against null results may exist in this literature. However, to date, the presence of an excess of significant findings in this literature has not been explicitly tested.METHOD: We used a database of 1344 articles on the psychological treatment of depression, identified through systematic search in PubMed, PsycINFO, EMBASE and the Cochrane database of randomized trials. From these we identified 149 studies eligible for inclusion that provided 212 comparisons. We tested for an excess of significant findings using the method developed by Ioannidis and Trikalinos (2007), and compared the distribution of p values in this literature with the distribution in the antidepressant literature, where publication bias is known to be operating.RESULTS: The average statistical power to detect the effect size indicated by the meta-analysis was 49%. A total of 123 comparisons (58%) reported a statistically significant difference between treatment and control groups, but on the basis of the average power observed, we would only have expected 104 (i.e. 49%) to do so. There was therefore evidence of an excess of significance in this literature (p = 0.010). Similar results were obtained when these analyses were restricted to studies including a cognitive behavioural therapy (CBT) arm. Finally, the distribution of p values for psychotherapy studies resembled that for published antidepressant studies, where publication bias against null results has already been established.CONCLUSIONS: The small average size of individual psychotherapy studies is only sufficient to detect large effects. Our results indicate an excess of significant findings relative to what would be expected, given the average statistical power of studies of psychotherapy for major depression.",
keywords = "Psychology, Health sciences, Cognitive behavioural therapy, depression, excess of significance, meta-Analysis, psychotherapy, publication bias",
author = "J. Flint and Pim Cuijpers and J. Horder and Koole, {Sander L.} and Munaf{\`o}, {M. R.}",
year = "2015",
month = jan,
day = "12",
doi = "10.1017/S0033291714001421",
language = "English",
volume = "45",
pages = "439--446",
journal = "Psychological Medicine",
issn = "0033-2917",
publisher = "Cambridge University Press",
number = "2",

}

RIS

TY - JOUR

T1 - Is there an excess of significant findings in published studies of psychotherapy for depression?

AU - Flint, J.

AU - Cuijpers, Pim

AU - Horder, J.

AU - Koole, Sander L.

AU - Munafò, M. R.

PY - 2015/1/12

Y1 - 2015/1/12

N2 - BACKGROUND: Many studies have examined the efficacy of psychotherapy for major depressive disorder (MDD) but publication bias against null results may exist in this literature. However, to date, the presence of an excess of significant findings in this literature has not been explicitly tested.METHOD: We used a database of 1344 articles on the psychological treatment of depression, identified through systematic search in PubMed, PsycINFO, EMBASE and the Cochrane database of randomized trials. From these we identified 149 studies eligible for inclusion that provided 212 comparisons. We tested for an excess of significant findings using the method developed by Ioannidis and Trikalinos (2007), and compared the distribution of p values in this literature with the distribution in the antidepressant literature, where publication bias is known to be operating.RESULTS: The average statistical power to detect the effect size indicated by the meta-analysis was 49%. A total of 123 comparisons (58%) reported a statistically significant difference between treatment and control groups, but on the basis of the average power observed, we would only have expected 104 (i.e. 49%) to do so. There was therefore evidence of an excess of significance in this literature (p = 0.010). Similar results were obtained when these analyses were restricted to studies including a cognitive behavioural therapy (CBT) arm. Finally, the distribution of p values for psychotherapy studies resembled that for published antidepressant studies, where publication bias against null results has already been established.CONCLUSIONS: The small average size of individual psychotherapy studies is only sufficient to detect large effects. Our results indicate an excess of significant findings relative to what would be expected, given the average statistical power of studies of psychotherapy for major depression.

AB - BACKGROUND: Many studies have examined the efficacy of psychotherapy for major depressive disorder (MDD) but publication bias against null results may exist in this literature. However, to date, the presence of an excess of significant findings in this literature has not been explicitly tested.METHOD: We used a database of 1344 articles on the psychological treatment of depression, identified through systematic search in PubMed, PsycINFO, EMBASE and the Cochrane database of randomized trials. From these we identified 149 studies eligible for inclusion that provided 212 comparisons. We tested for an excess of significant findings using the method developed by Ioannidis and Trikalinos (2007), and compared the distribution of p values in this literature with the distribution in the antidepressant literature, where publication bias is known to be operating.RESULTS: The average statistical power to detect the effect size indicated by the meta-analysis was 49%. A total of 123 comparisons (58%) reported a statistically significant difference between treatment and control groups, but on the basis of the average power observed, we would only have expected 104 (i.e. 49%) to do so. There was therefore evidence of an excess of significance in this literature (p = 0.010). Similar results were obtained when these analyses were restricted to studies including a cognitive behavioural therapy (CBT) arm. Finally, the distribution of p values for psychotherapy studies resembled that for published antidepressant studies, where publication bias against null results has already been established.CONCLUSIONS: The small average size of individual psychotherapy studies is only sufficient to detect large effects. Our results indicate an excess of significant findings relative to what would be expected, given the average statistical power of studies of psychotherapy for major depression.

KW - Psychology

KW - Health sciences

KW - Cognitive behavioural therapy

KW - depression

KW - excess of significance

KW - meta-Analysis

KW - psychotherapy

KW - publication bias

UR - http://www.scopus.com/inward/record.url?scp=84988296152&partnerID=8YFLogxK

U2 - 10.1017/S0033291714001421

DO - 10.1017/S0033291714001421

M3 - Journal articles

C2 - 25062429

VL - 45

SP - 439

EP - 446

JO - Psychological Medicine

JF - Psychological Medicine

SN - 0033-2917

IS - 2

ER -

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