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Record W2883453987 · doi:10.1002/mpr.1734

The quality of randomized controlled trials of psychotherapy for eating disorders

2018· review· en· W2883453987 on OpenAlexafffund
Renée Grenon, Alena McKenna, Hilary Maxwell, Samantha Carlucci, Agostino Brugnera, D Schwartze, Nicole G. Hammond, Iryna Ivanova, Nancy Mcquaid, Geneviève Proulx, Giorgio A. Tasca

Bibliographic record

VenueInternational Journal of Methods in Psychiatric Research · 2018
Typereview
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsOttawa HospitalUniversity of Ottawa
FundersCanadian Institutes of Health Research
KeywordsEating disordersPsychotherapistRandomized controlled trialPsychologyClinical psychologyMedicineInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: We investigated the quality of randomized controlled trials (RCTs) that included direct comparisons of psychotherapy for adults with an eating disorder (ED). METHOD: Thirty-five direct comparison RCTs of psychotherapy for adults diagnosed with an ED were rated using the Randomized Controlled Trials Psychotherapy Quality Rating Scale (RCT-PQRS). RESULTS: The mean total RCT-PQRS score (mean = 28.26; SD = 7.04) was in line with those that were reported for RCTs of psychotherapy for depression and anxiety disorders. Several standards of quality were unfulfilled by over half of the RCTs of treatment for EDs, including therapist supervision while treatment was being provided (62.9% unfulfilled); outcome assessment performed by raters blind to treatment group/condition (54% unfulfilled); and adequate sample size (66% unfulfilled). More recent RCTs were of higher quality, and higher quality was moderately associated with lower effect sizes. CONCLUSIONS: To improve the quality of RCTs of psychotherapy of EDs, we recommend that researchers address the quality criteria listed in the RCT-PQRS. Psychotherapy trials should be registered, have a published protocol, and be reported following the Consolidated Standards of Reporting Trials guidelines. Authors should take into account the quality of the research when using that research to inform ED treatment guidelines.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.295
metaresearch head score (Gemma)0.044
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.903
Threshold uncertainty score0.964

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.2950.044
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0100.007
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.422
GPT teacher head0.700
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designOther design
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2018
Admission routes2
Has abstractyes

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