Evidence map›Paper›PMID 41323647›Full record

ArticleOpen medicine (Warsaw, Poland)2025

Serum uric acid to albumin ratio and C-reactive protein as predictive biomarkers for chronic total occlusion and coronary collateral circulation quality.

Yufei Zhao, Jianming Zhang, ErLi Yang, Juan Wu, Shouye Dong

Abstract read
In one paragraph

Article in Open medicine (Warsaw, Poland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

5 authors.

Yufei ZhaoCardiovascular Department for Gerontism, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Jianming ZhangCardiovascular Department for Gerontism, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
ErLi YangCardiovascular Department for Gerontism, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Juan WuDepartment of Intervention, Yingshang County Hospital of Traditional Chinese Medicine, Yingshang, Fuyang, Anhui, China.
Shouye DongDepartment of Cardiology, Yingshang County Hospital of Traditional Chinese Medicine, No. 6, Nanwei San Road, Shencheng Town, Yingshang County, Fuyang City, Anhui Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coronary collateral circulation (CCC) plays a vital role in preserving myocardial perfusion in patients with chronic total occlusion (CTO). Reliable biomarkers for evaluating CCC are needed. This study aimed to investigate the combined diagnostic value of serum uric acid-to-albumin ratio (UAR) and C-reactive protein (CRP) in assessing the CCC status. Methods: We enrolled 220 patients undergoing coronary angiography and categorized them into three groups: CTO ( Results: UAR and CRP levels were significantly elevated in the CTO group compared to CHD and control groups. Among CTO patients, those with well-developed CCC had significantly lower UAR and CRP levels. Both biomarkers were identified as independent predictors of the CCC status. Combined use of CRP and UAR improved diagnostic specificity to 91.1%. Conclusion: This is the first study to demonstrate the diagnostic utility of combining UAR and CRP for evaluating CCC in CTO patients. The dual-marker approach enhances diagnostic accuracy and may support more precise clinical decision-making in coronary artery disease.

Indexed as

chronic total occlusion of coronary arteriescoronary collateral circulationC-reactive proteinuric acid/albumin ratio

Identifiers

PMID41323647
PMCPMC12658724

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.