Evidence map›Paper›PMID 35928606›Full record

ArticleJournal of thoracic disease2022

Study on the predictive ability of emergency CHADS

Xin Huang, Hong Lv, Zeyan Liu, Yuan Liu, Xue Yang

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. CHAFrontiers in cardiovascular medicine · 2026
    Article
  2. Article
  3. Association between RInternal and emergency medicine · 2024
    Article
  4. The CHALife (Basel, Switzerland) · 2023
    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

5 authors at 3 institutions in 1 country.

Xin Huang *Department of Cardiology, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
Hong Lv *Department of Cardiology, The Third People's Hospital of Xinjiang Autonomous Region, Urumqi, China.
Zeyan Liu *Emergency Internal Medicine Department, The Second Hospital of Anhui Medical University, Hefei, China.
Yuan LiuDepartment of Emergency, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
Xue YangDepartment of Outpatient, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
Chinese PLA General Hospital · CNPeople's Hospital of Xinjiang Uygur Autonomous Region · CNSecond Hospital of Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute ST-segment elevation myocardial infarction (STEMI) has a high morbidity and mortality rate. The congestive heart failure, hypertension, age, diabetes, previous stroke/transient ischemic attack (2 points) (CHADS Methods: A total of 524 patients with STEMI from May 2018 to October 2021 were selected for emergency CHADS Results: In severe group, CysC levels, CHADS Conclusions: Multiple factors jointly affect the severity and prognosis of CAD in patients with acute STEMI. The CHA

Indexed as

acute ST-segment elevation myocardial infarction (acute STEMI)CHADS2 score with 2 points assigned for age >75 years-vascular disease score (CHA2DS2-VASc score)Congestive heart failure, hypertension, age, diabetes, previous stroke/transient ischemic attack (2 points) score (CHADS2 score)coronary artery lesions

Identifiers

PMID35928606
PMCPMC9344425
OpenAlexW4287831327

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.