Evidence map›Paper›PMID 30315503›Full record

ArticleJournal of cardiovascular translational research2018

A Simple Modified Framingham Scoring System to Predict Obstructive Coronary Artery Disease.

Yong Liu, Qiang Li, Shiqun Chen, Xia Wang, Yingling Zhou, Ning Tan, Jiyan Chen

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Journal of cardiovascular translational research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

7 authors.

Yong LiuDepartment of Cardiology, Provincial Key Laboratory of Coronary Heart Disease, Guangdong Cardiovascular Institute, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510100, China.
Qiang LiThe George Institute for Global Health, The University of New South Wales, Sydney, NSW, 2050, Australia.
Shiqun ChenThe George Institute for Global Health, The University of New South Wales, Sydney, NSW, 2050, Australia.
Xia WangThe George Institute for Global Health, The University of New South Wales, Sydney, NSW, 2050, Australia.
Yingling ZhouDepartment of Cardiology, Provincial Key Laboratory of Coronary Heart Disease, Guangdong Cardiovascular Institute, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510100, China.
Ning TanDepartment of Cardiology, Provincial Key Laboratory of Coronary Heart Disease, Guangdong Cardiovascular Institute, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510100, China.
Jiyan ChenDepartment of Cardiology, Provincial Key Laboratory of Coronary Heart Disease, Guangdong Cardiovascular Institute, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510100, China. chenjiyandr@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Development of simple non-invasive risk prediction model would help in early prediction of coronary artery disease (CAD) reducing the burden on public health. This paper demonstrates a risk prediction scoring system to predict obstructive coronary artery disease (OCAD) in CAD patients. A total of 13,082 patients, referred for coronary angiography (CAG) in TRUST trial, were included in the development of a multivariable diagnostic prediction model. External validation of the model used 1009 patients from PRECOMIN study. The occurrence of OCAD was observed in 73.1% and 75.1% patients in TRUST (development) and PRECOMIN study (validation) cohorts, respectively. Good discrimination and calibration were obtained in both development and validation datasets (C-statistics 0.686 and 0.677; Hosmer-Lemeshow χ

Indexed as

Health Status IndicatorsAgedChinaComorbidityCoronary AngiographyCoronary Artery DiseaseDatabases, FactualFemaleHealth StatusHumansMaleMiddle AgedObservational Studies as TopicPredictive Value of TestsPrognosisReproducibility of ResultsChinaCoronary artery diseasePrediction modelRisk factorsValidation

Identifiers

PMID30315503

What OpenQuestion holds

Textmetadata
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.