Evidence map›Paper›PMID 36440000›Full record

ArticleFrontiers in cardiovascular medicine2022

Development and validation of a predictive model of the impact of single nucleotide polymorphisms in the

Tuersunjiang Naman, Refukaiti Abuduhalike, Mubalake Yakufu, Ayixigu Bawudun, Juan Sun, Ailiman Mahemuti

Abstract read
PubMed Full text at PMC Publisher
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
–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

0 citing papers in PubMed.

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

6 authors.

Tuersunjiang NamanDepartment of Heart Failure, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Refukaiti AbuduhalikeDepartment of Heart Failure, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Mubalake YakufuDepartment of Heart Failure, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Ayixigu BawudunDepartment of Heart Failure, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Juan SunDepartment of Heart Failure, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Ailiman MahemutiDepartment of Heart Failure, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Previous research has linked single nucleotide polymorphisms (SNPs) in the Method: This study recruited a total of 252 patients with ICM and 280 healthy controls. In addition, all the participants were genotyped for SNPs in the Result: The predictors involved in the prediction nomogram included age, smoking, diabetes, low-density lipoprotein-cholesterol, hemoglobin, N-terminal pro-B-type natriuretic peptide, ejection fraction, and the rs5491 SNP. The nomogram model exhibited good discrimination ability, with the AUC value of ROC of 0.978 (95%CI: 0.967-0.989, Conclusion: The AT genotype in rs5491 of the

Indexed as

gene polymorphismischemic cardiomyopathy (ICM)predictive modelrisk factors of ICMvariants of ICAM-1 gene

Identifiers

PMID36440000
PMCPMC9684327

What OpenQuestion 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 OpenQuestion graph.