Evidence map›Paper›PMID 30697778›Full record

SynthesisClinical cardiology2019

Growth differentiation factor-15 and the risk of cardiovascular diseases and all-cause mortality: A meta-analysis of prospective studies.

Shanhui Xie, Liping Lu, Liwei Liu

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Clinical cardiology, 2019. 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
–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

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

  1. Pooled it
  2. Pooled it
  3. Evolving Proteomic Biomarkers in Children with Congenital Heart Defects.Journal of cardiovascular development and disease · 2026
    Review
  4. Review
  5. Article
  6. Article
  7. Macrophages as a Source and Target of GDF-15.International journal of molecular sciences · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Understanding the Human Aging Proteome Using Epidemiological Models.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  17. Article
  18. Article
  19. GDF-15 as a Biomarker in Cardiovascular Disease.Arquivos brasileiros de cardiologia · 2021
    Review
  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

3 authors.

Shanhui XieDepartment of Clinical Laboratory, Shengjing Hospital of China Medical University, Shenyang, China.ORCID https://orcid.org/0000-0001-5056-7310
Liping LuDepartment of Clinical Laboratory, Shengjing Hospital of China Medical University, Shenyang, China.
Liwei LiuDepartment of Clinical Laboratory, Shengjing Hospital of China Medical University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimPrevious studies have documented that the association between growth differentiation factor-15 (GDF-15) the risk of patients with cardiovascular diseases (CVDs). In this meta-analysis, our main objective is to explore the associations between GDF-15 and the risk of CVD or all-cause mortality.

methodsPubMed and ISI Web of Science (up to January 2018) electronic databases were browsed for eligible studies. The studies provided relevant data depicted as hazard ratio (HR) with 95% confidence interval (CI), with regard to the association between GDF-15 levels and subsequent risk of CVDs or all-cause mortality. A random-effect model was applied to pool the HR and 95% CI.

resultsThirty-one prospective studies met the eligibility criteria involving 53 706 subjects with 7020 adverse outcome events. It was concluded that GDF-15 levels were associated with an incremental risk of CVDs or all-cause mortality. Highest GDF-15 category was associated with greater risk of cardiovascular mortality (HR, 2.66; 95% CI, 1.69-3.63), all-cause mortality (HR, 2.52; 95% CI, 2.06-2.97), and complex adverse outcome (HR, 1.81; 95% CI, 1.42-2.21). As each log-unit increment in GDF-15 concentration, the corresponding risk of adverse events also escalated, cardiovascular mortality (HR, 2.11; 95% CI, 1.57-2.66), all-cause mortality (HR, 2.70; 95% CI, 2.29-3.12), and complex adverse outcome (HR, 1.96; 95% CI, 1.64-2.29).

conclusionsJudging from the results of the data analysis, GDF-15 levels may increase the risk of CVDs or all-cause mortality.

Indexed as

AgedBiomarkersCardiovascular DiseasesCause of DeathFemaleGrowth Differentiation Factor 15HumansMaleMiddle AgedPrognosisProspective StudiesRisk AssessmentRisk FactorsUp-RegulationBiomarkersGDF15 protein, humanGrowth Differentiation Factor 15all-cause mortalitycardiovascular diseasesgrowth differentiation factor-15meta-analysis

Identifiers

PMID30697778
PMCPMC6523003

What OpenQuestion holds

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Registered trials

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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.