Evidence map›Paper›PMID 29982232›Full record

ArticleJournal of the American Heart Association2018

International Validation of the Thrombolysis in Myocardial Infarction (TIMI) Risk Score for Secondary Prevention in Post-MI Patients: A Collaborative Analysis of the Chronic Kidney Disease Prognosis Consortium and the Risk Validation Scientific Committee.

Yejin Mok, Shoshana H Ballew, Lori D Bash, Deepak L Bhatt, William E Boden, Marc P Bonaca, Juan Jesus Carrero, Josef Coresh, Ralph B D'Agostino, C Raina Elley and 8 more

Open access · goldAbstract readValidation Study
In one paragraph

Article in Journal of the American Heart Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 13 institutions in 5 countries.

Yejin MokJohns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Shoshana H BallewJohns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Lori D BashMerck & Co., Inc., Kenilworth, NJ.
Deepak L BhattBrigham and Women's Hospital Heart & Vascular Center Harvard Medical School, Boston, MA.
William E BodenVA New England Healthcare System and Boston University School of Medicine, Boston, MA.
Marc P BonacaBrigham and Women's Hospital Heart & Vascular Center Harvard Medical School, Boston, MA.
Juan Jesus CarreroMedical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Josef CoreshJohns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Ralph B D'AgostinoDepartment of Mathematics and Statistics, Boston University, Boston, MA.
C Raina ElleySchool of Population Health, University of Auckland, New Zealand.
F Gerry R FowkesUsher Institute of Population Health Sciences and Informatics, University of Edinburgh, United Kingdom.
Sun Ha JeeInstitute for Health Promotion and Graduate School of Public Health, Yonsei University, Seoul, South Korea.
Csaba P KovesdyMemphis Veterans Affairs Medical Center and University of Tennessee Health Science Center, Memphis, TN.
Kenneth W MahaffeyDepartment of Medicine, Stanford Center for Clinical Research, Stanford, CA.
Girish NadkarniIcahn School of Medicine at Mount Sinai, New York, NY.
Eric D PetersonDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC.
Yingying SangJohns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Kunihiro MatsushitaJohns Hopkins Bloomberg School of Public Health, Baltimore, MD kuni.matsushita@jhu.edu.
Johns Hopkins University · USBoston University · USBrigham and Women's Hospital · USCenter for Clinical Research (United States) · USClinical Research Institute · USHarvard University · USIcahn School of Medicine at Mount Sinai · USKarolinska Institutet · SEMemphis VA Medical Center · USMerck & Co., Inc., Rahway, NJ, USA (United States) · USUniversity of Auckland · NZUniversity of Edinburgh · GBYonsei University · KR

Funding

Chronic Kidney Disease Prognosis Consortium (CKD-PC)R01DK100446 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JOSEF CORESH, Morgan Erika Grams · 2014 to 2026
$10.7M
NIDDK NIH HHS R01 DK100446
6 · The paper itself

Abstract

backgroundThe Thrombolysis in Myocardial Infarction (TIMI) Risk Score for Secondary Prevention (TRS2°P), a 0-to-9-point system based on the presence/absence of 9 clinical factors, was developed to classify the risk of major adverse cardiovascular events (MACE) (a composite of cardiovascular death, recurrent myocardial infarction, or ischemic stroke) among patients with a recent myocardial infarction. Its performance has not been examined internationally outside of a clinical trial setting. METHODS AND

resultsWe evaluated the performance of TRS2°P for predicting MACE in 53 599 patients with recent myocardial infarction in 5 international cohorts from New Zealand, South Korea, Sweden, and the United States participating in the Chronic Kidney Disease Prognosis Consortium. Overall, there were 19 444 cases of MACE across 5 cohorts over a mean follow-up of 5 years, and the overall MACE rate ranged from 5.0 to 18.4 (per 100 person-years). The TRS2°P showed modest calibration (Brier score ranged from 0.144 to 0.173) and discrimination (C-statistics >0.61 in all studies except 1 from Korea with 0.55) across cohorts relative to its original Brier score of 0.098 and C-statistic of 0.67 in the derived data set. Although there was some heterogeneity across cohorts, the 9 predictors in the TRS2°P were generally associated with higher MACE risk, with strongest associations observed (meta-analyzed adjusted hazard ratio 1.6-1.7) for history of heart failure, age ≥75 years, and prior stroke, followed by peripheral artery disease, kidney dysfunction, diabetes mellitus, and hypertension (hazard ratio 1.3-1.4). Prior coronary bypass graft surgery and smoking did not reach statistical significance (hazard ratio ≈1.1).

conclusionsTRS2°P, a simple scoring system with 9 routine clinical factors, was modestly predictive of secondary events when applied in patients with recent myocardial infarction from diverse clinical and geographic settings.

Indexed as

Secondary PreventionAgedAge FactorsBrain IschemiaCardiovascular DiseasesCohort StudiesDiabetes MellitusFemaleHeart FailureHumansHypertensionMaleMiddle AgedMyocardial InfarctionNew ZealandPeripheral Arterial Diseasemyocardial infarctionsecondary preventionvalidation

Identifiers

PMID29982232
PMCPMC6064832
OpenAlexW2820793195

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.