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Record W2738973924 · doi:10.1177/1049731517720033

Evaluating Completeness of Reporting in Behavioral Interventions Pilot Trials

2017· article· en· W2738973924 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueResearch on Social Work Practice · 2017
Typearticle
Languageen
FieldDecision Sciences
TopicMeta-analysis and systematic reviews
Canadian institutionsSt. Joseph’s Healthcare HamiltonPopulation Health Research InstituteMcMaster UniversityPrograms for Assessment of Technology in Health Research InstituteImpact
Fundersnot available
KeywordsConsolidated Standards of Reporting TrialsPsychological interventionMedicineConfidence intervalRandomized controlled trialMEDLINEClinical trialResearch designFamily medicinePhysical therapyPsychiatryStatisticsSurgery

Abstract

fetched live from OpenAlex

Purpose: This systematic survey evaluates the completeness of reporting in pilot and feasibility randomized controlled trials investigating behavioral interventions based on the Consolidated Standards of Reporting Trials (CONSORT) extension for pilot trials. Methods: The authors searched Medline/Pubmed and randomly selected 100 articles from 2012 through 2016 to determine the proportion of reported CONSORT extension items. They examined study factors related to reporting, including year and country of publication, psychotherapy intervention, multiple centers, industry funding, and journal endorsement of CONSORT. Results: The authors found that the mean reporting score on the CONSORT extension was 51.6% ( SD = 15.1). Studies of psychotherapy interventions had significantly higher reporting scores than other interventions (incidence rate ratio = 1.10, 95% confidence interval: 1.01–1.20). Conclusions: Our findings indicate that current reporting quality is suboptimal. Many included trials failed to provide rationale for piloting, assess feasibility objectives, or indicate clear progression to a future large trial. Reporting quality should be reevaluated following uptake of the 2016 CONSORT extension for pilot trials.

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.

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)0.827
metaresearch head score (Gemma)0.889
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.832
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.8270.889
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.997
GPT teacher head0.846
Teacher spread0.151 · 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