Evidence map›Paper›PMID 40021983›Full record

ArticleBMC cardiovascular disorders2025

Lymphocyte to c-reactive protein ratio predicts the risk of contrast-induced acute kidney injury in STEMI patients undergoing percutaneous coronary intervention.

Lanqing Xiang, Bowen Qiu, Lei Chen, Chunyue Wang, Wen Zhang, Lu Liu, Guoqing Yin, Fuad A Abdu, Cailin Feng, Xian Lv and 3 more

Abstract read
In one paragraph

Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
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

13 authors.

Lanqing XiangDepartment of Cardiology, Clinical Medical College of Shanghai Tenth People's Hospital, Nanjing Medical University, Shanghai, China.
Bowen QiuDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China.
Lei ChenDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China.
Chunyue WangDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China.
Wen ZhangDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China.
Lu LiuDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China.
Guoqing YinDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China.
Fuad A AbduDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China.
Cailin FengDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China.
Xian LvDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China.
Jiasuer AlifuDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China.
Yuan LuDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China. xyfyluyuan@163.com.
Wenliang CheDepartment of Cardiology, Clinical Medical College of Shanghai Tenth People's Hospital, Nanjing Medical University, Shanghai, China. chewenliang@tongji.edu.cn.

Funding

Clinical Research Plan of Shanghai Tenth People's Hospital YNCR2A001Foundation of Shanghai Municipal Health Commission 202140263National Natural Science Foundation of China 82170521Shanghai Natural Science Foundation of China 21ZR1449500Tibet Natural Science Foundation of China XZ2022ZR-ZY27(Z)
6 · The paper itself

Abstract

backgroundContrast-induced acute kidney injury (CI-AKI) is a common complication of percutaneous coronary intervention (PCI) in ST-elevation myocardial infarction (STEMI) patients. Our aim was to assess the lymphocyte to C-reactive protein ratio (LCR) to predict CI-AKI in patients with acute STEMI.

methodsA total of 777 patients with STEMI undergoing primary PCI were continuously included in this study. The occurrence of CI-AKI was monitored during the follow-up period for all patients. Logistic regression analysis was employed to assess the relationship between LCR and CI-AKI. Furthermore, ROC analysis was conducted to establish the optimal LCR cut-off value for the prediction of CI-AKI.

resultsThe incidence of CI-AKI after PCI was 12.2% (95/777). Univariate and multivariate analysis showed that LCR was an independent factor for CI-AKI after PCI. ROC curve analysis of LCR showed the optimal cut-off value of LCR identified for predicting CI-AKI was 7875.94, yielding the area under the curve of 0.626 (95% CI: 0.572-0.679; P < 0.001). The integration of the LCR could significantly improve the ability of the model to identify CI-AKI (IDI = 0.016[P < 0.001], and NRI = 0.137[P = 0.006]).

conclusionLCR is an independent risk factor for CI-AKI in STEMI patients undergoing primary PCI. Integration of LCR can significantly improve the risk model for CI-AKI.

Indexed as

Acute Kidney InjuryContrast MediaC-Reactive ProteinLymphocytesPercutaneous Coronary InterventionST Elevation Myocardial InfarctionAgedBiomarkersFemaleHumansIncidenceLymphocyte CountMaleMiddle AgedPredictive Value of TestsRetrospective StudiesBiomarkersContrast MediaC-Reactive ProteinContrast-induced acute kidney injuryPercutaneous coronary interventionST-segment elevation myocardial infarctionThe lymphocyte to C-reactive protein ratio

Identifiers

PMID40021983
PMCPMC11869660

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.