Evidence map›Paper›PMID 37576485›Full record

ArticleJournal of geriatric cardiology : JGC2023

Growth differentiation factor 15 predicts cardiovascular events in stable coronary artery disease.

Juan Wang, Li-Na Han, Dao-Sheng Ai, Xin-Yu Wang, Wan-Jing Zhang, Xiao-Rong Xu, Hong-Bin Liu, Jing Zhang, Pan Wang, Xu Li and 1 more

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of geriatric cardiology : JGC, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. 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

11 authors at 4 institutions in 1 country.

Juan WangHeart Center of Beijing Chao-Yang Hospital, Capital Medical University, Beijing Key Laboratory of Hypertension, Beijing, China.
Li-Na HanDepartment of Cardiology, the Second Medical Center, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
Dao-Sheng AiAcademy for Advanced Interdisciplinary Studies, Peking University National Institute of Biological Sciences, Zhongguancun Life Science Park, Tsinghua University, Beijing, China.
Xin-Yu WangHeart Center of Beijing Chao-Yang Hospital, Capital Medical University, Beijing Key Laboratory of Hypertension, Beijing, China.
Wan-Jing ZhangHeart Center of Beijing Chao-Yang Hospital, Capital Medical University, Beijing Key Laboratory of Hypertension, Beijing, China.
Xiao-Rong XuHeart Center of Beijing Chao-Yang Hospital, Capital Medical University, Beijing Key Laboratory of Hypertension, Beijing, China.
Hong-Bin LiuDepartment of Cardiology, the Second Medical Center, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
Jing ZhangHeart Center of Beijing Chao-Yang Hospital, Capital Medical University, Beijing Key Laboratory of Hypertension, Beijing, China.
Pan WangHeart Center of Beijing Chao-Yang Hospital, Capital Medical University, Beijing Key Laboratory of Hypertension, Beijing, China.
Xu LiHeart Center of Beijing Chao-Yang Hospital, Capital Medical University, Beijing Key Laboratory of Hypertension, Beijing, China.
Mu-Lei ChenHeart Center of Beijing Chao-Yang Hospital, Capital Medical University, Beijing Key Laboratory of Hypertension, Beijing, China.
Beijing Chaoyang Emergency Medical Center · CNBeijing Chao-Yang Hospital · CNChinese PLA General Hospital · CNNational Institute of Biological Sciences, Beijing · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGrowth differentiation factor 15 (GDF-15) has been explored as a potential biomarker for various inflammatory diseases and cardiovascular events. This study aimed to assess the predictive role of GDF-15 levels in cardiovascular events and all-cause mortality, considering traditional risk factors and other biomarkers.

methodsA prospective study was conducted and 3699 patients with stable coronary artery disease (CAD) were enrolled into the research. Baseline GDF-15 levels were measured. Median follow-up was 3.1 years during the study. We analyzed clinical variables and several biomarkers. Multivariable Cox regression analysis was performed to evaluate prognostic performance of GDF-15 levels in predicting myocardial infarction (MI), heart failure, stroke, cardiovascular death, and non-cardiovascular death.

resultsBaseline GDF-15 levels for 3699 patients were grouped by quartile (≤ 1153, 1153-1888, 1888-3043, > 3043 ng/L). Higher GDF-15 levels were associated with older age, male gender, history of hypertension, and elevated levels of N-terminal pro B-type natriuretic peptide (NT-pro BNP), soluble suppression of tumorigenesis-2 (sST2), and creatine (each with

conclusionsHigher levels of GDF-15 consistently provides prognostic information for cardiovascular events and all cause death, independent of clinical risk factors and other biomarkers. GDF-15 could be considered as a valuable addition to future risk prediction model in secondary prevention for predicting clinical events in patient with stable CAD.

Identifiers

PMID37576485
PMCPMC10412535
OpenAlexW4385730118

What Socratic 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 Socratic graph.