Evidence map›Paper›PMID 29732745›Full record

ArticleJournal of Zhejiang University. Science. B2018

Combining fragmented QRS and TIMI score for predicting in-hospital short-term prognosis after acute myocardial infarction.

Qin-Hui Sheng, Chih Chi Hsu, Jian-Ping Li, Tao Hong, Yong Huo

Open access · bronzeAbstract read
In one paragraph

Article in Journal of Zhejiang University. Science. B, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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 1 institution in 1 country.

Qin-Hui ShengDepartment of Cardiology, Peking University First Hospital, Beijing 100034, China.
Chih Chi HsuDepartment of Cardiology, Peking University First Hospital, Beijing 100034, China.
Jian-Ping LiDepartment of Cardiology, Peking University First Hospital, Beijing 100034, China.
Tao HongDepartment of Cardiology, Peking University First Hospital, Beijing 100034, China.
Yong HuoDepartment of Cardiology, Peking University First Hospital, Beijing 100034, China.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myocardial infarction (AMI) has a high mortality rate and poor prognosis for patients. The primary causes of death are arrhythmia and heart failure. For patients admitted because of myocardial infarction, various risk evaluations are initiated to foresee possible complications. The thrombolysis in myocardial infarction (TIMI) risk score, which can be used to predict the prognosis and the need for revascularisation, is the most convenient and commonly used system, but is inadequate for AMI patients on admittance. Fragmented QRS (fQRS) has been shown to be a valuable electrocardiographic (ECG) index for predicting the prognosis of patients with coronary heart disease. Also, fQRS is considered to predict an increased likelihood of a poor outcome and mortality in patients with coronary artery disease (CAD), even for some successfully revascularized AMI patients. So what would happen if fQRS and the TIMI risk score were combined? This study focused on the investigation of the short-term prognostic value of fQRS combined with the TIMI risk score for patients with AMI.

Indexed as

ElectrocardiographyRisk AssessmentAgedFemaleHumansMaleMyocardial InfarctionPercutaneous Coronary InterventionPrognosisThrombolytic TherapyAcute myocardial infarction (AMI); Freagmented QRS (fQRS); TIMI score

Identifiers

PMID29732745
PMCPMC5962511
OpenAlexW2895529814

What OpenQuestion holds

Textmetadata
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.