Evidence map›Paper›PMID 40232203›Full record

Observational studyClinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis

Cystatin C as a Biomarker for Identifying High-Risk Patients with Acute Coronary Syndrome: An Observational Study.

Xinlin Xiong, Li Yuan, Xiaobin Long, Minsheng An, Shen Huang, Liang Liu

Abstract readObservational Study
In one paragraph

Observational study in Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Xinlin XiongDepartment of cardiology, Clinical Medical College& Affiliated Hospital of Chengdu University, Chengdu city, PR China.ORCID 0000-0002-6186-1301
Li YuanDepartment of cardiology, Clinical Medical College& Affiliated Hospital of Chengdu University, Chengdu city, PR China.
Xiaobin LongDepartment of cardiology, Clinical Medical College& Affiliated Hospital of Chengdu University, Chengdu city, PR China.
Minsheng AnDepartment of cardiology, Clinical Medical College& Affiliated Hospital of Chengdu University, Chengdu city, PR China.
Shen HuangDepartment of cardiology, Clinical Medical College& Affiliated Hospital of Chengdu University, Chengdu city, PR China.
Liang LiuDepartment of cardiology, Clinical Medical College& Affiliated Hospital of Chengdu University, Chengdu city, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundCystatin C is a cysteine protease inhibitor, synthesized by nucleated cells, and released into various body fluids. Lots of studies have reported an association between cystatin C and atherosclerotic cardiovascular disease. However, the association of cystatin C with high-risk patients with acute coronary syndrome(ACS) has not been well studied. In this study, we investigated potential association of cystatin C with high-risk patients with ACS, and assessed whether cystatin C provide discriminating power of clinical risk stratification in patients with ACS.MethodsWe enrolled 219 patients with ACS in the present study. The cystatin C concentration was measured in clinical laboratory. The global registry of acute coronary events (GRACE) scores was calculated to assess risk stratification. The high-risk patients with ACS were defined based on GRACE scores and killip classification.ResultsThe cystatin C levels were significantly higher in high-risk patients compared to non-high-risk patients, both in the overall ACS group and its subtypes, including non-ST elevation ACS (NSTE-ACS) and ST elevation ACS (STE-ACS)(

Indexed as

Acute Coronary SyndromeCystatin CAgedBiomarkersFemaleHumansMaleMiddle AgedRisk AssessmentRisk FactorsBiomarkersCystatin Cacute coronary syndromebiomarkercystatin c

Identifiers

PMID40232203
PMCPMC12035054

What OpenQuestion holds

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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.