Evidence map›Paper›PMID 34525958›Full record

ArticleBMC cardiovascular disorders2021

Predictive value of CHADS

Xiaoli Li, Zhen Zeng, Xinchun Yang, Hongjiang Wang

Open access · goldAbstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC cardiovascular disorders, 2021. 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
0.8field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Predictive value of CHAClinical cardiology · 2023
    Article
  2. Study on the predictive ability of emergency CHADSJournal of thoracic disease · 2022
    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

4 authors at 2 institutions in 1 country.

Xiaoli LiDepartment of Cardiology, Beijing Chaoyang Hospital, Capital Medical University; Heart Center and Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, No.8 Gongti South Road, Chaoyang District, Beijing, 100020, China.
Zhen ZengGeriatric Department, Chui Yang Liu Hospital, Tsinghua University, Beijing, 100022, China.
Xinchun YangDepartment of Cardiology, Beijing Chaoyang Hospital, Capital Medical University; Heart Center and Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, No.8 Gongti South Road, Chaoyang District, Beijing, 100020, China.
Hongjiang WangDepartment of Cardiology, Beijing Chaoyang Hospital, Capital Medical University; Heart Center and Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, No.8 Gongti South Road, Chaoyang District, Beijing, 100020, China. yangxinchuncyyy1@163.com.
Beijing Chaoyang Emergency Medical Center · CNTsinghua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the predictive value of CHADS

methodsA total of 524 patients who were diagnosed with STEMI from January 2016 to August 2017 were retrospectively reviewed. The correlation between CHADS

resultsThe number of coronary lesions in STEMI patients was mainly single and double lesions. The CHADS

conclusionCHADS

Indexed as

Decision Support TechniquesHospitalizationAdultAgedAged, 80 and overCoronary Artery DiseaseFemaleHumansLength of StayMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective StudiesRisk AssessmentRisk FactorsAcute ST-segment elevation myocardial infarctionAdverse events during hospitalizationCHA2DS2-VASc scoreCHADS2 scoreGensini score

Identifiers

PMID34525958
PMCPMC8442268
OpenAlexW3199665031

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.