Evidence map›Paper›PMID 35369355›Full record

ArticleFrontiers in cardiovascular medicine2022

Predictive Value of the CHA

Yaxin Wu, Yanxiang Gao, Qing Li, Chao Wu, Enmin Xie, Yimin Tu, Ziyu Guo, Zixiang Ye, Peizhao Li, Yike Li and 3 more

Open access · goldAbstract 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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

13 authors at 4 institutions in 1 country.

Yaxin WuDepartment of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China.
Yanxiang GaoDepartment of Cardiology, China-Japan Friendship Hospital, Beijing, China.
Qing LiDepartment of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China.
Chao WuDepartment of Cardiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Enmin XieGraduate School, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yimin TuGraduate School, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ziyu GuoDepartment of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China.
Zixiang YeDepartment of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China.
Peizhao LiDepartment of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China.
Yike LiGraduate School, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xiaozhai YuGraduate School, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jingyi RenDepartment of Cardiology, China-Japan Friendship Hospital, Beijing, China.
Jingang ZhengDepartment of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China.
China-Japan Friendship Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNPeking University · CNGuangdong Academy of Medical Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic kidney disease (CKD) patients have a high prevalence of coronary artery disease and a high risk of cardiovascular events. The present study assessed the value of the CHA Methods: This was a retrospective cohort study that included CKD patients who were hospitalized for ACS from January 2015 to May 2020. The CHA Results: A total of 313 eligible patients were included in the study, with a mean CHA Conclusion: The CHA

Indexed as

acute coronary syndrome (ACS)CHA2DS2-VASc scorechronic kidney diseasemortalityprognosis

Identifiers

PMID35369355
PMCPMC8965867
OpenAlexW4220904385

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.