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Record W2622300493 · doi:10.1016/j.conctc.2017.06.001

Quality of abstracts of randomized control trials in five top pain journals: A systematic survey

2017· article· en· W2622300493 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

VenueContemporary Clinical Trials Communications · 2017
Typearticle
Languageen
FieldDecision Sciences
TopicMeta-analysis and systematic reviews
Canadian institutionsHamilton Health SciencesSt. Joseph’s Healthcare HamiltonImpactPopulation Health Research InstituteMcMaster University
Fundersnot available
KeywordsConsolidated Standards of Reporting TrialsMedicineRandomized controlled trialConfidence intervalOdds ratioSample size determinationMEDLINEClinical trialLogistic regressionPhysical therapyFamily medicineInternal medicineStatistics

Abstract

fetched live from OpenAlex

BACKGROUND: The reporting quality of abstracts of randomized control trials (RCTs) is inadequate despite the publication of consolidated standards of reporting trials extension for abstracts (CONSORT-A). We compared the reporting quality of abstracts in pain journals before and after the publication of CONSORT-A. METHODS: We searched MEDLINE in April-2016 for RCTs published in five pain journals: Pain, Pain Physician, European Journal of Pain, Clinical Journal of Pain and Pain Practice for pre- and post-CONSORT-A period (2005-2007 and 2013-2015). Data were extracted in duplicate from 250 abstracts for compliance with CONSORT-A, and for items known to affect reporting quality: journal endorsement of CONSORT, number of trial centers, sample-size, type of intervention, industry-sponsorship and significance of results. The primary outcome was mean number of items reported and the secondary outcome was the reporting of each item. We used logistic regression and Poisson regression for analyses. RESULTS: Most trials were single centric (76%), had sample size <100 (63%), involved pharmacological intervention (59%) and were non-industry funded (70%). The mean number of items reported was better for 2013-2015 (mean difference 0.94; 95% confidence-interval [CI]: 0.50-1.38, p < 0.001). Post-CONSORT-A, trials were more likely to report as randomized in the title (odds ratio (OR) 2.69; 95% CI 1.61-4.49), describe eligibility criteria and settings (OR 2.47; 95% CI 1.35-4.54), provide effect size and precision for primary outcome (OR 2.47; 95% CI 1.19-5.16), inform harms (OR 1.80; 95% CI 1.05-3.07) and report trial registration (OR 5.13; 95% CI 1.44-18.32). Post-CONSORT-A period (incident rate ratio (IRR) 1.15; 95% CI 1.07-1.24), endorsement of CONSORT statement by the journal (IRR 1.08; 95% CI 1.02-1.14), multi-centric studies (IRR 1.14; 95% CI 1.08-1.20), and studies with pharmacological interventions (IRR 1.07; 95% CI 1.02-1.13) were significantly associated with reporting of more items. CONCLUSIONS: Abstract reporting for trials in pain literature was better in the post-CONSORT-A period, but there is room for improvement.

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)0.987
metaresearch head score (Gemma)0.994
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (broad), Open science
Consensus categoriesMetaresearch, Meta-epidemiology (broad)
DomainCandidate signal: Methods · Consensus signal: Methods
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.520
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.9870.994
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0570.014
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0110.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.981
GPT teacher head0.734
Teacher spread0.246 · 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