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Background:
The current meta-review of meta-analyses on psychotherapy research for complex post-traumatic stress disorder (CPTSD) and samples at risk of complex traumatization has three aims: first, to provide an overview of efficacy of individual psychotherapies; second, to compare the quality of the meta-analyses; and third, to assess statistical power.
Methods:
The literature search was conducted until August 2020. Meta-analyses providing individual treatment effect estimates focusing on CPTSD or samples at risk of complex traumatization (i.e., victims of childhood sexual abuse (CSA), war or torture, refugees, and veterans with PTSD) were eligible for inclusion. The effect sizes were classified according to Cohen as small, medium, or large. The "A MeaSurement Tool to Assess systematic Reviews" (AMSTAR) was applied to assess the quality of the meta-analyses, and power was assessed post-hoc.
Results:
Twenty-four meta-analyses were suitable for inclusion. The efficacy of the interventions varied (g = -0.04 (CI -0.39; 0.48), controlled, to d = 2.73 (1.69; 3.76), uncontrolled). Overall, 16 effect estimates were large. On average, the quality of the meta-analyses was good (average AMSTAR total score 7.71 points (range 3-11). Considering quality assessments and power together, nine meta-analyses were evaluated as high quality.
Limitations:
No meta-analysis for CPTSD was eligible and the number of individuals with complex traumatization was not directly assessed in the at-risk groups.
Conclusions:
For at-risk groups for complex traumatization, on average, good-quality empirical evidence exists. Given the limited research on CPTSD, future studies are needed to further investigate the efficacy of interventions.
Publication Bias in meta-analyses of the efficacy of psychotherapeutic interventions for depression
(2013)
Objective: The aim of this study was to assess whether systematic reviews investigating psychotherapeutic interventions for depression are affected by publication bias. Only homogeneous data sets were included, as heterogeneous data sets can distort statistical tests of publication bias. Method: We applied Begg and Mazumdar's adjusted rank correlation test, Egger's regression analysis, and the trim and fill procedure to assess the presence and magnitude of publication bias in all homogeneous data sets of systematic reviews published up to September 2010. Results: Thirty-one data sets reported in 19 meta-analyses fulfilled our inclusion criteria. Significant bias was detected in 5 (16.13%; rank correlation test) and 6 (19.35%; Egger's regression analysis) of these data sets. Applying the trim and fill procedure to amend presumably missing studies rarely changed the assessment of the efficacy of therapeutic interventions, with 2 exceptions. In 1 data set psychotherapy was no longer found to be significantly more efficacious than pharmacotherapy in reducing dropout at posttreatment when publication bias was taken into account. In the 2nd data set, after correcting for publication bias, there was no longer evidence that depressed patients without comorbid personality disorder profited more from psychotherapy and pharmacotherapy than patients with comorbid personality disorder. Conclusions: The results suggest that taken together, psychotherapy research for depression is only marginally affected by the selective reporting of positive outcomes. With 2 notable exceptions, correcting for publication bias did not change the evaluation of the efficacy of psychotherapeutic interventions.