Evidence map›Paper›PMID 38322566›Full record

ReviewAmerican journal of translational research2024

Long-term prognostic importance of high levels of sST2 in patient with AMI: a meta-analysis.

Haigang Ji, Ling Yuan, Wenbo Jiang, Jing Chen

Abstract readReview
In one paragraph

Review in American journal of translational research, 2024. 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
–field-weighted citation impact
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.

  1. Review
  2. Review
  3. Article
  4. 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.

Haigang JiDepartment of Cardiovascular Medicine, Changzhou Hospital Affiliated to Nanjing University of Chinese Medicine Changzhou 213003, Jiangsu, China.
Ling YuanDepartment of Cardiovascular Medicine, Changzhou Hospital Affiliated to Nanjing University of Chinese Medicine Changzhou 213003, Jiangsu, China.
Wenbo JiangDepartment of Cardiovascular Medicine, Suqian Hospital Affiliated to Nanjing University of Chinese Medicine Suqian 223800, Jiangsu, China.
Jing ChenDepartment of Gastroenterology, Tongde Hospital Hangzhou 310012, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis meta-study aimed to assess the connection between soluble suppression of tumorigenicity 2 (sST2) and extended clinical outcomes in individuals diagnosed with acute myocardial infarction (AMI).

methodsWe systematically collected pertinent literature from PubMed, Embase and Web of Science. The primary effect measures employed in this research were the hazard ratio and 95% confidence intervals. The quality and publication bias of included studies were evaluated. Subgroup analysis was conducted to explore the diversity in study outcomes.

resultsThis comprehensive meta-analysis ultimately encompassed thirteen studies, involving a total of 11,571 patients. Elevated levels of sST2 were identified as an adverse prognostic indicator, demonstrating a substantial association not only with overall mortality (combined HR 2.4, 95% CI 1.6-3.5, P < 0.01) but also with major adverse cardiovascular events (MACEs) (HR 2.5, 95% CI 1.5-4.2, P < 0.01). Subgroup analyses revealed that increased sST2 levels were linked to higher rates of all-cause mortality and MACEs in patients with ST-segment elevation myocardial infarction (STEMI), non-ST-segment elevation myocardial infarction (NSTEMI), and other unselected subcategories of AMI.

conclusionIncreased sST2 could predict the long-term prognosis in patients suffering from AMI.

Indexed as

acute myocardial infarction (AMI)major adverse cardiovascular events (MACEs)myocardial infarction (MI)prognosisSoluble suppression of tumorigenicity 2 (sST2)

Identifiers

PMID38322566
PMCPMC10839393

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.