Risk of Bias in Randomized Clinical Trials on Psychological Therapies for Post-Traumatic Stress Disorder in Adults
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To evaluate the factorial validity and internal consistency of a measurement model underlying risk of bias as endorsed by Cochrane for use in systematic reviews; more specifically, how the risk of bias tool behaves in the context of studies on psychological therapies used for treatment of post-traumatic stress disorder in adults. METHODS: We applied confirmatory factor analysis to a systematic review containing 70 clinical trials entitled "Psychological Therapies for Chronic Post-Traumatic Stress Disorder in Adults" under a Bayesian estimator. Seven observed categorical risk of bias items (answered categorically as low, unclear, or high risk of bias) were collected from the systematic review. RESULTS: A unidimensional model for the Cochrane risk of bias tool items returned poor fit indices and low factor loadings, indicating questionable validity and internal consistency. CONCLUSION: Although the present evidence is restricted to psychological interventions for post-traumatic stress disorder, it demonstrates that the way risk of bias has been measured in this context may not be adequate. More broadly, the results suggest the importance of testing the risk of bias tool, and the possibility of rethinking the methods used to assess risk of bias in systematic reviews and meta-analyses.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it