Evidence map›Paper›PMID 27154403›Full record

SynthesisBMC cardiovascular disorders2016

Growth differentiation factor-15 predicts the prognoses of patients with acute coronary syndrome: a meta-analysis.

Shangshi Zhang, Dongjun Dai, Xian Wang, Hongyan Zhu, Hongchuan Jin, Ruochi Zhao, Liting Jiang, Qi Lu, Fengying Yi, Xiangxiang Wan and 1 more

Open access · goldAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in BMC cardiovascular disorders, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
5.4field-weighted citation impact, top 4% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Recent advances in the diagnosis and management of acute myocardial infarction.Journal of the Chinese Medical Association : JCMA · 2023
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. GDF-15 as a Biomarker in Cardiovascular Disease.Arquivos brasileiros de cardiologia · 2021
    Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Association between Growth Differentiation Factor 15 and Non-Dipping Circadian Pattern in Patients with Newly Diagnosed Essential Hypertension.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2019
    Article
  19. Article
  20. 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

11 authors at 4 institutions in 1 country.

Shangshi ZhangDepartment of Cardiovascular, Ningbo First Hospital, Ningbo, 315010, China.
Dongjun DaiDepartment of Medical Oncology, Institute of Clinical Science, Sir Run Run Shaw Hospital, Medical School of Zhejiang University, Hangzhou, 310029, China.
Xian WangDepartment of Medical Oncology, Institute of Clinical Science, Sir Run Run Shaw Hospital, Medical School of Zhejiang University, Hangzhou, 310029, China.
Hongyan ZhuDepartment of Cardiovascular, Shangrao People 's Hospital, Shangrao, 334000, China.
Hongchuan JinDepartment of Medical Oncology, Institute of Clinical Science, Sir Run Run Shaw Hospital, Medical School of Zhejiang University, Hangzhou, 310029, China.
Ruochi ZhaoDepartment of Cardiovascular, Ningbo First Hospital, Ningbo, 315010, China.
Liting JiangDepartment of Medical Oncology, Institute of Clinical Science, Sir Run Run Shaw Hospital, Medical School of Zhejiang University, Hangzhou, 310029, China.
Qi LuDepartment of Cardiovascular, Ningbo First Hospital, Ningbo, 315010, China.
Fengying YiDepartment of Cardiovascular, Ningbo First Hospital, Ningbo, 315010, China.
Xiangxiang WanDepartment of Cardiovascular, Ningbo First Hospital, Ningbo, 315010, China.
Hanbin CuiDepartment of Cardiovascular, Ningbo First Hospital, Ningbo, 315010, China. hanbincui@hotmail.com.
Ningbo First Hospital · CNZhejiang University · CNShangrao Normal University · CNSir Run Run Shaw Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent studies have shown Growth differentiation factor-15 (GDF-15) that is a member of the transforming growth factor β (TGF-β) superfamily might be a potential predictive cytokine for the prognosis of Acute coronary syndrome (ACS). However, there are discrepancies in these studies.

methodsPublication searches of the PubMed/Medline and EMBASE databases were performed without any time or ethnicity restrictions. The inclusion and exclusion criteria, when clear, were addressed. Random effects models were used for all analyses. Publication bias was tested using funnel plots and the Egger test.

resultsWe identified eight eligible studies that provided mortality data. Five of these studies provided recurrent myocardial infarction (MI) data. The maximal duration of follow-up ranged from 6 months to 6 years. A significant association was found between the patients with the highest and lowest GDF-15 levels (overall analyses) in terms of mortality (p < 0.00001; RR = 6.08; 95 % CI = 4.79-7.71) and recurrent MI (p < 0.00001; RR = 1.76; 95 % CI = 1.49-2.07). We also found significant associations between the subgroup analyses stratified by ACS types, cutoff points and follow-up durations (p < 0.001). The combined hazard ratio was high for GDF-15 to ACS (HR = 1.656, 95 % CI = 1.467-1.871).

conclusionHigh plasma GDF-15 levels are associated with an increased risk of mortality and recurrent MI in patients with ACS.

Indexed as

Acute Coronary SyndromeBiomarkersGrowth Differentiation Factor 15HumansMyocardial InfarctionOdds RatioPredictive Value of TestsPrognosisRecurrenceRisk FactorsTime FactorsUp-RegulationBiomarkersGDF15 protein, humanGrowth Differentiation Factor 15

Identifiers

PMID27154403
PMCPMC4859964
OpenAlexW2345563569

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.