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Record W2601303977 · doi:10.7326/acpjc-2017-166-6-035

PCI with drug-eluting stents ≤ 12 months before surgery was linked to increased MI and cardiac death after surgery

2017· letter· en· W2601303977 on OpenAlexaffabout
Flávia K. Borges, P.J. Devereaux

Bibliographic record

VenueAnnals of Internal Medicine · 2017
Typeletter
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineInternal medicinePopulationProspective cohort studyCohortDrug-eluting stentCardiologyPercutaneous coronary interventionSurgeryMyocardial infarction

Abstract

fetched live from OpenAlex

ACP Journal Club21 March 2017PCI with drug-eluting stents ≤ 12 months before surgery was linked to increased MI and cardiac death after surgeryFlavia Kessler Borges, MD, PhD, P.J. Devereaux, MD, PhDFlavia Kessler Borges, MD, PhDMcMaster University, Hamilton, Ontario, Canada (F.K.B., P.D.)Search for more papers by this author, P.J. Devereaux, MD, PhDMcMaster University, Hamilton, Ontario, Canada (F.K.B., P.D.)Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/ACPJC-2017-166-6-035 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail Source CitationEgholm G, Kristensen SD, Thim T, et al. Risk associated with surgery within 12 months after coronary drug-eluting stent implantation. J Am Coll Cardiol. 2016;68:2622-32. https://pubmed.ncbi.nlm.nih.gov/27978946Clinical Impact RatingsCardiology: References1 Botto F, Alonso-Coello P, Chan MT, et al; Vascular events In noncardiac Surgery patIents cOhort evaluatioN (VISION) Writing Group. Myocardial injury after noncardiac surgery: a large, international, prospective cohort study establishing diagnostic criteria, characteristics, predictors, and 30-day outcomes. Anesthesiology. 2014;120:564-78. [PMID: 24534856] Google Scholar2 Wijeysundera DN, Wijeysundera HC, Yun L, et al. Risk of elective major noncardiac surgery after coronary stent insertion: a population-based study. Circulation. 2012;126:1355-62. [PMID: 22893606] Google Scholar Author, Article, and Disclosure InformationAffiliations: McMaster University, Hamilton, Ontario, Canada (F.K.B., P.D.)This article was published at Annals.org on 7 March 2017. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetails Metrics 21 March 2017Volume 166, Issue 6Page: JC35KeywordsCardiac surgeryCohort studiesDrugsLongitudinal studiesMortalityMyocardial infarctionOdds ratioPercutaneous coronary interventionStent implantationSurgery ePublished: 21 March 2017 Issue Published: 21 March 2017 Copyright & PermissionsCopyright © 2017 by American College of Physicians. All Rights Reserved.PDF downloadLoading ...

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)0.010
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 score0.011
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.043
GPT teacher head0.300
Teacher spread0.258 · 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
Published2017
Admission routes2
Has abstractyes

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