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Record W2109976502 · doi:10.1001/jama.295.14.1675

Effect of Blinded Peer Review on Abstract Acceptance

2006· article· en· W2109976502 on OpenAlexaff
Joseph S. Ross, Cary P. Gross, Mayur M. Desai, Yuling Hong, Augustus O. Grant, Stephen R. Daniels, Vladimir Hachinski, Raymond J. Gibbons, Timothy J. Gardner, Harlan M. Krumholz

Bibliographic record

VenueJAMA · 2006
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmaceutical industry and healthcare
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineConfidence intervalFamily medicinePeer reviewMEDLINERelative riskInternal medicine

Abstract

fetched live from OpenAlex

CONTEXT: Peer review should evaluate the merit and quality of abstracts but may be biased by geographic location or institutional prestige. The effectiveness of blinded peer review at reducing bias is unknown. OBJECTIVE: To evaluate the effect of blinded review on the association between abstract characteristics and likelihood of abstract acceptance at a national research meeting. DESIGN AND SETTING: All abstracts submitted to the American Heart Association's annual Scientific Sessions research meeting from 2000-2004. Abstract review included the author's name and institution (open review) from 2000-2001, and this information was concealed (blinded review) from 2002-2004. Abstracts were categorized by country, primary language, institution prestige, author sex, and government and industry status. MAIN OUTCOME MEASURE: Likelihood of abstract acceptance during open and blinded review, by abstract characteristics. RESULTS: The mean number of abstracts submitted each year for evaluation was 13,455 and 28.5% were accepted. During open review, 40.8% of US and 22.6% of non-US abstracts were accepted (relative risk [RR], 1.81; 95% confidence interval [CI], 1.75-1.88), whereas during blinded review, 33.4% of US and 23.7% of non-US abstracts were accepted (RR, 1.41; 95% CI, 1.37-1.45; P<.001 for comparison between peer review periods). Among non-US abstracts, during open review, 31.1% from English- speaking countries and 20.9% from non-English-speaking countries were accepted (RR, 1.49; 95% CI, 1.39-1.59), whereas during blinded review, 28.8% and 22.8% of abstracts were accepted, respectively (RR, 1.26; 95% CI, 1.19-1.34; P<.001). Among abstracts from US academic institutions, during open review, 51.3% from highly prestigious and 32.6% from nonprestigious institutions were accepted (RR, 1.57; 95% CI, 1.48-1.67), whereas during blinded review, 38.8% and 29.0% of abstracts were accepted, respectively (RR, 1.34; 95% CI, 1.26-1.41; P<.001). CONCLUSIONS: This study provides evidence of bias in the open review of abstracts, favoring authors from the United States, English-speaking countries outside the United States, and prestigious academic institutions. Moreover, blinded review at least partially reduced reviewer bias.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.492
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.355
GPT teacher head0.574
Teacher spread0.219 · 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; a candidate call from one teacher head, not a consensus.

Study designNot applicable
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

Citations249
Published2006
Admission routes1
Has abstractyes

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