ArticleJournal of geriatric cardiology : JGC2018
Repeated measurement of growth-differentiation factor-15 in Chinese Han patients with post-myocardial infarction chronic heart failure.
Article in Journal of geriatric cardiology : JGC, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.
- Joint modelling of longitudinal processes and time-to-event outcomes in heart failure: systematic review and exemplar examining the relationship between serum digoxin levels and mortality.BMC medical research methodology · 2023Pooled it
- A Meta-Analysis of Growth Differentiation Factor-15 and Prognosis in Chronic Heart Failure.Frontiers in cardiovascular medicine · 2021Pooled it
- The role of vascular aging, bone marrow and immune system in hypertension.Cell death discovery · 2026Review
- Article
- Growth Differentiation Factor 15 (GDF-15), a New Biomarker in Heart Failure Management.Current heart failure reports · 2023Review
- Inflammatory Mediators in Atherosclerotic Vascular Remodeling.Frontiers in cardiovascular medicine · 2022Review
- Growth differentiation factor-15 is a prognostic marker in patients with intermediate coronary artery disease.Journal of geriatric cardiology : JGC · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGrowth-differentiation factor-15 (GDF-15) is a promising prognostic biomarker in patients with chronic heart failure (CHF). Comparatively little is known about the value of repeated measurement of GDF-15 with CHF in Chinese Han population. This study sought to identify the clinical value of repeated measurement of GDF-15 in Chinese Han patients with post-myocardial infarction CHF.
methodsIn total, 232 consecutive Chinese Han patients with post-myocardial infarction CHF were enrolled prospectively from January 2014 to June 2016.The plasma concentration of GDF-15 was determined on admission and over 12 months. Patients were followed up for all-cause death and a composite outcome of major adverse cardiac events (MACE) included all-cause death, myocardial infarction and first heart failure (HF) re-hospitalization. Association with other clinical variables and adverse outcomes of repeated measurement of GDF-15 was explored.
resultsThe median baseline GDF-15 level was 2025 ng/L. Baseline GDF-15 was moderately associated with baseline N-terminal pro-B type natriuretic peptide (NT-proBNP) (coefficient 0.561,
conclusionsRepeated measurements of GDF-15 have promising prognostic value of the risk of all-cause death in Chinese Han patients with CHF post-myocardial infarction. GDF-15 may influence the post-myocardial infarction CHF through the path physiological pathway of myocardial remodeling.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.