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Record W2466300235 · doi:10.1136/ebmed-2016-110407

Study raises new doubts regarding the hypothesised health benefits of ‘moderate’ alcohol use

2016· letter· en· W2466300235 on OpenAlexaff
Tim Stockwell, Timothy S. Naimi

Bibliographic record

VenueEvidence-Based Medicine · 2016
Typeletter
Languageen
FieldMedicine
TopicAlcohol Consumption and Health Effects
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsMedicineObservational studyConfoundingAlcohol consumptionInternal medicineHazard ratioAlcoholConfidence intervalChemistry

Abstract

fetched live from OpenAlex

Commentary on : Goulden R. Moderate alcohol consumption is not associated with reduced all-cause mortality. Am J Med 2016;129:180–6.e4.[OpenUrl][1][CrossRef][2][PubMed][3] Many observational studies find associations between ‘moderate’ alcohol use and reduced mortality risk compared with abstention. Low doses of alcohol have also been associated with improvements in some biomarkers of cardiovascular health in short-term randomised studies. However, the absence of any randomised clinical trial of any morbidity or mortality outcome, and contradictory Mendelian randomisation studies,1 cast doubt on the veracity of associations found in observational studies. Goulden lists alternative explanations for the classic J-shaped curve for alcohol use and mortality risk, including selection bias, misclassification of drinkers as abstainers and residual confounding. We comment here as authors of a meta-analysis2 raising identical concerns and reporting similar findings. Goulden examined the relationship between level of average daily alcohol consumption and risk of death … [1]: {openurl}?query=rft.jtitle%253DAm%2BJ%2BMed%26rft.volume%253D129%26rft.spage%253D180%26rft_id%253Dinfo%253Adoi%252F10.1016%252Fj.amjmed.2015.10.013%26rft_id%253Dinfo%253Apmid%252F26524703%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1016/j.amjmed.2015.10.013&link_type=DOI [3]: /lookup/external-ref?access_num=26524703&link_type=MED&atom=%2Febmed%2F21%2F4%2F156.atom

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
gemmano category
Domain: not available · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
models splitAgreement 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)0.004
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.157
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.465
GPT teacher head0.432
Teacher spread0.033 · 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.

The models applied no category: nothing in the taxonomy fit this work.

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designObservational · Not applicable
Domainnot available
GenreCommentary

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

Citations6
Published2016
Admission routes1
Has abstractyes

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