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Abstract 3135: Impact Of PCI On The Clinical Burden Of Atherothrombotic Disease. An Analysis From The NHLBI Dynamic Registry

2007· article· en· W149893296 on OpenAlexaff
Warren K. Laskey, Faith Selzer, Evan Mokwe, David Holmes, Spencer B. King, Howard Cohen, James Slater, Jean‐François Tanguay, Elizabeth M. Holper, David Williams, Katherine Detre

Bibliographic record

VenueCirculation · 2007
Typearticle
Languageen
FieldMedicine
TopicCerebrovascular and Carotid Artery Diseases
Canadian institutionsMontreal Heart Institute
Fundersnot available
KeywordsMedicineConventional PCIPercutaneous coronary interventionMyocardial infarctionAnginaPopulationStroke (engine)Internal medicineUnstable anginaCardiologyCoronary artery diseaseHeart failureDiseaseDisease burdenSurgeryIntensive care medicine

Abstract

fetched live from OpenAlex

Introduction . The addition of percutaneous coronary intervention (PCI) to the treatment options for patients with atherothrombotic (AT) coronary heart disease (CHD) has resulted in considerable debate regarding its overall clinical benefit. Although rates of “hard” clinical endpoints have been used as measures of both clinical outcome and disease burden, a comprehensive, clinically relevant measure of disease burden in the general population of patients undergoing PCI is lacking. Hypothesis . A comprehensive measure of AT clinical burden in patients undergoing PCI can be used to detect the qualitative and quantitative impact of PCI over time. Methods . Four distinct cohorts (Waves) of ~ 2,000 patients each participating in the NHLBI Dynamic Registry beginning in 1997 (Wave 1) and terminating in 2005 (Wave 4) and surviving to hospital discharge comprise the study population (n= 7,750). A composite clincally relevant measure of AT disease burden over the year following PCI was defined as: any death, myocardial infarction (MI), hospitalization for recurrent angina (A) or congestive heart failure (HF), stroke, any repeat PCI or coronary bypass surgery. Cumulative event rates, expressed as the presence of any of the above-cited components by one year, were calculated using Kaplan-Meier statistics. Comparison of rates across Waves was accomplished using Cochran- Mantel-Haenszel method. Results. see Table Exclusion of patients requiring PCI for restenosis did not substantially change the overall AT burden. Conclusion. There was a statistically significant decrease in AT disease burden over the time studied. However, the burden of disease in patients undergoing PCI remains substantial for 25% of patients. This measure of AT burden may be of clinical value in assessing the contribution of PCI to patient outcomes and strongly supports more comprehensive treatment strategies for patients following PCI. Component and composite rates at one year

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)0.002
metaresearch head score (Gemma)0.006
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 score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.032
GPT teacher head0.352
Teacher spread0.320 · 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
Published2007
Admission routes1
Has abstractyes

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