Evidence map›Paper›PMID 36601070›Full record

ArticleFrontiers in cardiovascular medicine2022

Development and validation of a nomogram for predicting significant coronary artery stenosis in suspected non-ST-segment elevation acute coronary artery syndrome with low-to-intermediate risk stratification.

Meixiang Chen, Pengfei Li, Yuekang Huang, Shuang Li, Zheng Ruan, Changyu Qin, Jianyu Huang, Ruixin Wang, Zhongqiu Lin, Peng Liu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 49% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

11 authors at 4 institutions in 1 country.

Meixiang ChenThe First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China.
Pengfei LiThe First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China.
Yuekang HuangThe First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China.
Shuang LiGeneral Hospital of the Southern Theatre Command, Chinese People's Liberation Army (PLA), Guangzhou, Guangdong, China.
Zheng RuanGeneral Hospital of the Southern Theatre Command, Chinese People's Liberation Army (PLA), Guangzhou, Guangdong, China.
Changyu QinThe First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China.
Jianyu HuangGeneral Hospital of the Southern Theatre Command, Chinese People's Liberation Army (PLA), Guangzhou, Guangdong, China.
Ruixin WangGeneral Hospital of the Southern Theatre Command, Chinese People's Liberation Army (PLA), Guangzhou, Guangdong, China.
Zhongqiu LinGeneral Hospital of the Southern Theatre Command, Chinese People's Liberation Army (PLA), Guangzhou, Guangdong, China.
Peng LiuZhujiang Hospital, The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China.
Lin XuGeneral Hospital of the Southern Theatre Command, Chinese People's Liberation Army (PLA), Guangzhou, Guangdong, China.
Southern Medical University · CNThird Affiliated Hospital of Southern Medical University · CNChinese People's Liberation Army · CNChinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients with non-ST-segment coronary artery syndrome (NSTE-ACS) have significant heterogeneity in their coronary arteries. A better assessment of significant coronary artery stenosis (SCAS) in low-to-intermediate risk NSTE-ACS patients would help identify who might benefit from invasive coronary angiography (ICA). Our study aimed to develop a multivariable-based model for pretesting SCAS in suspected NSTE-ACS with low-to-intermediate risk. Methods: This prediction nomogram was constructed retrospectively in 469 suspected NSTE-ACS patients with low-to-intermediate risk. Patients were divided into a development group ( Results: Derivation analyses from the development group ( Conclusion: A prediction nomogram consisting of seven readily available clinical parameters was established to pretest the probability of SCAS in suspected NSTE-ACS patients with low-to-intermediate risk, which may serve as a cost-effective risk stratification tool and thus assist in initial decision making.

Indexed as

low-to-intermediate risknomogramnon-ST-segment elevation acute coronary artery syndromeprediction modelvalidation nomogram for predicting significant coronary artery stenosis

Identifiers

PMID36601070
PMCPMC9807079
OpenAlexW4313408273

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.