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Record W2895031242 · doi:10.1097/eja.0000000000000880

The degree of adherence to CONSORT reporting guidelines for the abstracts of randomised clinical trials published in anaesthesia journals

2018· article· en· W2895031242 on OpenAlexaffabout
Jeffrey Chow, Timothy P. Turkstra, Edmund Yim, Philip M. Jones

Bibliographic record

VenueEuropean Journal of Anaesthesiology · 2018
Typearticle
Languageen
FieldDecision Sciences
TopicMeta-analysis and systematic reviews
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsConsolidated Standards of Reporting TrialsMedicineChecklistRandomized controlled trialAnesthesiologyInterquartile rangeTrial registrationMEDLINEClinical trialFamily medicineAnesthesiaSurgeryInternal medicinePsychology

Abstract

fetched live from OpenAlex

BACKGROUND: Abstracts are intended to be concise summaries of the entire randomised clinical trial (RCT). Despite their importance, few studies have examined the reporting quality of abstracts in the anaesthesiology literature. OBJECTIVES: To examine the quality of RCT abstract reporting according to the CONSORT for Abstracts guidelines and determine whether recommended items omitted from the abstract were present in the body of the article. DESIGN: A cross-sectional study of RCTs. SETTING: This study was performed at the University of Western Ontario and University Hospital, London Health Sciences Centre. PARTICIPANTS: All RCTs meeting inclusion criteria that were published in 2010 or 2016 in six general anaesthesiology journals (Anaesthesia, Anesthesia & Analgesia, Anesthesiology, British Journal of Anaesthesia, Canadian Journal of Anesthesia and European Journal of Anaesthesiology). MAIN OUTCOME MEASURES: The 16 checklist items from the CONSORT for Abstracts statement were used to create a convenience score as a proxy for RCT abstract reporting quality, with each criterion measured as being reported in abstract, not reported in abstract but reported in full-text article, or not reported in abstract or full-text article. RESULTS: Of the 395 RCTs identified, 219 were published in 2010 and 176 were published in 2016. Out of the maximum possible score of 16, the median abstract score increased from 4 points [interquartile range (IQR): 3 to 5] in 2010 to 6 points [IQR: 5 to 8] in 2016. Although most checklist items showed improvement from 2010 to 2016, around 75% of RCTs in 2016 met fewer than half of the 16 items with no RCTs reporting all 16 items in the abstract. A majority of the RCTs had the information present in the full-text. In 2016, only 71 out of 176 (40%) of RCTs reported outcomes conforming to the CONSORT guidelines (with an effect size and a confidence interval around the effect size) in the Abstract. CONCLUSION: Abstracts for many anaesthesiology RCTs are incomplete selective summaries of the entire article.

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)0.804
metaresearch head score (Gemma)0.845
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.887
Threshold uncertainty score0.670

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.8040.845
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0060.003
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0040.000
Research integrity0.0000.000
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 head0.940
GPT teacher head0.637
Teacher spread0.303 · 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
GenreEmpirical

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

Citations23
Published2018
Admission routes2
Has abstractyes

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