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Record W2043135794 · doi:10.1136/ebn.5.3.90

A simple risk index accurately predicted mortality in patients with ST elevation myocardial infarction

2002· letter· en· W2043135794 on OpenAlexaboutno aff
D. Wehby

Bibliographic record

VenueEvidence-Based Nursing · 2002
Typeletter
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAmyotrophic lateral sclerosisNeuroscienceMedicinePathologicalNeurophysiologyStimulationInhibitory postsynaptic potentialCardiologyPsychologyInternal medicineDisease

Abstract

fetched live from OpenAlex

Morrow DA, Antman EM, Giugliano RP, et al. A simple risk index for rapid initial triage of patients with ST-elevation myocardial infarction: an InTIME II substudy. Lancet2001 Nov 10; 358 : 1571 –5 [OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] QUESTION: Can a simple risk index based on 3 routinely collected variables accurately predict mortality in patients with ST elevation myocardial infarction (MI)? Patient data from 3 multicentre randomised controlled trials were used for the development and validation of a risk index (Intravenous nPA for the Treatment of Infarcting Myocardium Early [InTIME II] Trial; and Thrombolysis and Thrombin Inhibition in Myocardial Infarction [TIMI] 9A and B trials). >800 hospitals worldwide from the InTIME II trial for index development and {150 centres in the US, UK, Canada, Israel, and Germany}* from the TIMI 9A and B trials for index validation. The development set comprised data from 13 253 patients who had ST elevation MI and were enrolled within 6 hours of symptom onset, and who did not have a history of cerebrovascular disease, systolic blood pressure (SBP) … [1]: {openurl}?query=rft.jtitle%253DLancet%26rft.stitle%253DLancet%26rft.aulast%253DMorrow%26rft.auinit1%253DD.%2BA.%26rft.volume%253D358%26rft.issue%253D9293%26rft.spage%253D1571%26rft.epage%253D1575%26rft.atitle%253DA%2Bsimple%2Brisk%2Bindex%2Bfor%2Brapid%2Binitial%2Btriage%2Bof%2Bpatients%2Bwith%2BST-elevation%2Bmyocardial%2Binfarction%253A%2Ban%2BInTIME%2BII%2Bsubstudy.%26rft_id%253Dinfo%253Adoi%252F10.1016%252FS0140-6736%252801%252906649-1%26rft_id%253Dinfo%253Apmid%252F11716882%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/S0140-6736(01)06649-1&link_type=DOI [3]: /lookup/external-ref?access_num=11716882&link_type=MED&atom=%2Febnurs%2F5%2F3%2F90.atom [4]: /lookup/external-ref?access_num=000172188300009&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

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.052
GPT teacher head0.302
Teacher spread0.250 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations0
Published2002
Admission routes1
Has abstractyes

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