Evidence map›Paper›PMID 33817110›Full record

ArticleOpen life sciences2018

The Prediction of Cardiac Events in Patients with Acute ST Segment Elevation Myocardial Infarction: A Meta-analysis of Serum Uric Acid.

Hailong Wang, Jianjun Yang, Jiang Sao, Jianming Zhang, Xiaohua Pang

Open access · goldAbstract read
In one paragraph

Article in Open life sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 47% 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, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
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.

Hailong WangDepartment of Cardiology, Heart center, Chongqing Three Gorges Central Hospital, Wanzhou, Chongqing, China.
Jianjun YangDepartment of Cardiology, Heart center, Chongqing Three Gorges Central Hospital, Wanzhou, Chongqing, China.
Jiang SaoDepartment of Cardiology, Heart center, Chongqing Three Gorges Central Hospital, Wanzhou, Chongqing, China.
Jianming ZhangDepartment of Cardiology, Heart center, Chongqing Three Gorges Central Hospital, Wanzhou, Chongqing, China.
Xiaohua PangDepartment of Cardiology, Heart center, Chongqing Three Gorges Central Hospital, Wanzhou, Chongqing, China.
Chongqing Three Gorges Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe current study aimed to explore the predictive ability of serum uric acid (SUA) in patients suffering from acute ST segment elevation myocardial infarction (STEMI).

methodPubMed, EMBASE, Cochrane Library, and Medline databases were systematically searched from their respective inceptions to February 2018. Systematic analysis and random-effects meta-analysis of prognostic effects were performed to evaluate STEMI outcomes [i.e., in-hospital mortality, one-year mortality, in-hospital Major Adverse Cardiovascular Events (MACE)] in relation to SUA.

resultsA total of 12 studies (containing 7,735 patients with acute STEMI) were identified (5,562 low SUA patients and 3,173 high SUA patients). Systematic analysis of these studies showed that high SUA patients exhibited a higher incidence of in-hospital MACE (OR, 2.30; P < 0.00001), in-hospital mortality (OR, 3.03; P < 0.0001), and one-year mortality (OR, 2.58; P < 0.00001), compared with low SUA patients.

conclusionsAcute STEMI patients with high SUA exhibited an elevated incidence rate of in-hospital MACE, in-hospital mortality, and one-year mortality. Further randomized controlled trials will be needed to verify these results.

Indexed as

Major Adverse Cardiovascular Events (MACE)meta–analysismortalityserum uric acid (SUA)ST segment elevation myocardial infarction (STEMI)

Identifiers

PMID33817110
PMCPMC7874701
OpenAlexW2901579840

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.