Evidence map›Paper›PMID 30643006›Full record

SynthesisBioscience reports2019

Cystatin C for predicting all-cause mortality and rehospitalization in patients with heart failure: a meta-analysis.

Shenghua Chen, Yangzhang Tang, Xueyin Zhou

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Bioscience reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 13% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. [High serum cystatin C is an independent risk factor for poor renal prognosis in IgA nephropathy].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2025
    Article
  8. Article
  9. Review
  10. Article
  11. Heart Failure: Is There an Ideal Biomarker?Reviews in cardiovascular medicine · 2023
    Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. 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

3 authors at 1 institution in 1 country.

Shenghua ChenHealth Service Centre of West Street Coummunity of Xiangshan District, Huaibei 235000, Anhui Province, China chenshenghuahb@sina.com.
Yangzhang TangDepartment of Internal Cardiovascular Medicine of the People's Hospital, Huaibei 235000, Anhui Province, China.
Xueyin ZhouHealth Service Centre of West Street Coummunity of Xiangshan District, Huaibei 235000, Anhui Province, China.
Huaibei Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating cystatin C (cys-C/CYC) has been identified as an independent predictor of all-cause mortality in patients with coronary artery disease and the general population. This meta-analysis aimed to systematically evaluate the association between elevated cys-C level and all-cause mortality and rehospitalization risk amongst patients with heart failure (HF). PubMed and Embase databases were searched until December 2017. All prospective observational studies that reported a multivariate-adjusted risk estimate of all-cause mortality and/or rehospitalization for the highest compared with lowest cys-C level in HF patients were included. Ten prospective studies involving 3155 HF patients were included. Meta-analysis indicated that the highest compared with lowest cys-C level was associated with an increased risk of all-cause mortality (hazard ratio (HR): 2.33; 95% confidence intervals (CI): 1.67-3.27;

Indexed as

Patient ReadmissionAgedAged, 80 and overBiomarkersCystatin CHeart FailureHumansMiddle AgedProspective StudiesBiomarkersCST3 protein, humanCystatin Call-cause mortalitycystatin Cheart failuremeta-analysis

Identifiers

PMID30643006
PMCPMC6361773
OpenAlexW2910392251

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.