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Record W4405925846 · doi:10.1016/j.jss.2024.12.019

Spin Reporting Is Common in Pilot Randomized Controlled Trials in Surgery: A Methodological Survey

2024· review· en· W4405925846 on OpenAlexaff
Tyler McKechnie, Tania Kazi, Victoria Shi, Austine Wang, Sophia Zhang, Alex Thabane, Keean Nanji, Phillip Staibano, Lily Park, Aristithes Doumouras, Cagla Eskicioglu, Lehana Thabane, Sameer Parpia, Mohit Bhandari

Bibliographic record

VenueJournal of Surgical Research · 2024
Typereview
Languageen
FieldDecision Sciences
TopicMeta-analysis and systematic reviews
Canadian institutionsSt. Joseph’s Healthcare HamiltonImpactMcMaster University
Fundersnot available
KeywordsRandomized controlled trialMedicineMedical physicsSurgery

Abstract

fetched live from OpenAlex

INTRODUCTION: Spin reporting has been studied across a variety of study types and domains; however, it has yet to be studied in the context of pilot and feasibility trials. We designed this methodological survey to evaluate spin reporting in surgical pilot and feasibility trials. METHODS: Medline, Embase, and Cochrane Central Register of Controlled Trials were searched from January 1, 2011, to December 31, 2011, and January 1, 2021, to December 31, 2021. Studies were included if they were pilot or feasibility randomized trials evaluating a surgical intervention. The primary objective was to determine the proportion of pilot and feasibility trials utilizing spin reporting defined as primary focus on efficacy as opposed to feasibility, focus on statistically significant findings as opposed to feasibility, and/or presentation of results as feasible despite not actually being feasible. Secondary objectives included determining the type of spin reporting and exploring the association between study characteristics and spin reporting. RESULTS: After screening 1991 citations, 38 studies from 2011 to 34 studies from 2021 were included. Overall, 59 of the included pilot and feasibility trials (81.9%: 59/72, 95% confidence interval [CI] 71.4-89.3%) utilized spin reporting. Fifty-eight trials (80.6%, 95% CI 69.8-88.2%) primarily focused on efficacy as opposed to feasibility, 34 trials (47.2%, 95% CI 36.1-58.6%) focused on statistically significant findings as opposed to feasibility, and four trials (5.6%, 95% CI 1.8-13.8%) suggested feasibility objectives were met when they were not. Spin was identified in 94.7% (95% CI 81.8-99.5%) and 67.6% (95% CI 50.7-81.0%) of studies published in 2011 and 2021, respectively. CONCLUSIONS: Most pilot and feasibility trials in surgery inappropriately focus on clinical outcomes and statistical significance as opposed to feasibility outcomes for the main future trial. This practice is concerning given that pilot trials are not adequately powered and are intended to serve as exploratory study to increase the likelihood of a successful definitive trial.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaMetaresearch
Domain: Reporting · Genre: Review
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptMetaresearch
Domain: Reporting · Genre: Methods
About the Canadian research system: no · About a Canadian topic: no
Observationalmedium
models agreeAgreement compares identical category sets and study designs across arms.

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)0.993
metaresearch head score (Gemma)0.975
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad), Bibliometrics, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Meta-epidemiology (broad), Insufficient payload (model declined to judge)
DomainCandidate signal: Methods · Consensus signal: Methods
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.813
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.9930.975
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.2040.054
Bibliometrics0.0110.012
Science and technology studies0.0000.000
Scholarly communication0.0030.000
Open science0.0040.001
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0120.001

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 head0.990
GPT teacher head0.781
Teacher spread0.210 · 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

Labeled directly by 2 models reading the full record.

Study designObservational
DomainReporting
GenreReview · Methods

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

Citations2
Published2024
Admission routes1
Has abstractyes

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