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Record W2098043027 · doi:10.1136/ebmed-2012-100641

In patients with coronary artery disease and heart failure, the addition of coronary-artery bypass grafting to medical therapy has no effect on the overall risk of death from any cause, but assessment of suitability for surgery may predict survival benefit in subgroups

2012· letter· en· W2098043027 on OpenAlexaff
Terrence M. Yau

Bibliographic record

VenueEvidence-Based Medicine · 2012
Typeletter
Languageen
FieldMedicine
TopicCardiac Structural Anomalies and Repair
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineCoronary artery diseaseEjection fractionCardiologyArteryInternal medicineBypass graftingHeart failureIschaemic heart disease

Abstract

fetched live from OpenAlex

Commentary on: Velazquez EJ, Lee KL, Deja MA, et al. Coronary-artery bypass surgery in patients with left ventricular dysfunction. N Engl J Med 2011;364:1607–16.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] More than 5.8 million Americans and 500 000 Canadians are currently living with heart failure (HF). The 5-year survival rate is a dismal 40–50%. Coronary artery disease (CAD) is the most common cause of HF, but the role of coronary artery bypass surgery (CABG) in HF has never been definitively established. The Surgical Treatment for Ischaemic HF trial aimed to determine whether CABG improves survival in patients with CAD and impaired left ventricular (LV) function (hypothesis 1). A total of 1212 adults with CAD amenable to CABG and left ventricular ejection fraction (LVEF) ≤35% were enrolled from 127 sites across 26 countries. The original intended enrolment of 2000 patients was revised due to slow enrolment rates, necessitating an increase in the duration of follow-up from … [1]: {openurl}?query=rft.jtitle%253DNew%2BEngland%2BJournal%2Bof%2BMedicine%26rft.stitle%253DNEJM%26rft.issn%253D0028-4793%26rft.aulast%253DVelazquez%26rft.auinit1%253DE.%2BJ.%26rft.volume%253D364%26rft.issue%253D17%26rft.spage%253D1607%26rft.epage%253D1616%26rft.atitle%253DCoronary-artery%2Bbypass%2Bsurgery%2Bin%2Bpatients%2Bwith%2Bleft%2Bventricular%2Bdysfunction.%26rft_id%253Dinfo%253Adoi%252F10.1056%252FNEJMoa1100356%26rft_id%253Dinfo%253Apmid%252F21463150%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=10.1056/NEJMoa1100356&link_type=DOI [3]: /lookup/external-ref?access_num=21463150&link_type=MED&atom=%2Febmed%2F17%2F6%2F178.atom [4]: /lookup/external-ref?access_num=000289940400007&link_type=ISI

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 applicablehigh
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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.095
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.272
Teacher spread0.243 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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