Evidence map›Paper›PMID 39707211›Full record

ArticleBMC cardiovascular disorders2024

An inflammatory prognostic scoring system to predict the risk for adults with acute coronary syndrome undergoing percutaneous coronary intervention.

Ge Song, Ying Zhang, Xinchen Wang, Chen Wei, Yuewen Qi, Yan Liu, Lixian Sun

Abstract read
In one paragraph

Article in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

7 authors.

Ge SongDepartment of Cardiology, The Affiliated Hospital of Chengde Medical University, No.36, Nanyingzi Street, Shuangqiao District, 067000, Chengde, Hebei Province, China.
Ying ZhangDepartment of Cardiology, The Affiliated Hospital of Chengde Medical University, No.36, Nanyingzi Street, Shuangqiao District, 067000, Chengde, Hebei Province, China.
Xinchen WangDepartment of Cardiology, The Affiliated Hospital of Chengde Medical University, No.36, Nanyingzi Street, Shuangqiao District, 067000, Chengde, Hebei Province, China.
Chen WeiDepartment of Cardiology, The Affiliated Hospital of Chengde Medical University, No.36, Nanyingzi Street, Shuangqiao District, 067000, Chengde, Hebei Province, China.
Yuewen QiHebei Key Laboratory of Panvascular Diseases, No.36, Nanyingzi Street, Shuangqiao District, 067000, Chengde, Hebei Province, China.
Yan LiuDepartment of Cardiology, The Affiliated Hospital of Chengde Medical University, No.36, Nanyingzi Street, Shuangqiao District, 067000, Chengde, Hebei Province, China.
Lixian SunDepartment of Cardiology, The Affiliated Hospital of Chengde Medical University, No.36, Nanyingzi Street, Shuangqiao District, 067000, Chengde, Hebei Province, China. lixiansun01@126.com.

Funding

Government-funded clinical medicine talent training project ZF2023252Natural Science Foundation of Hebei Province H2021406071
6 · The paper itself

Abstract

backgroundThis study aimed to investigate the value of the inflammatory prognostic score (IPS) system for predicting the risk of all-cause major adverse cardiovascular events (MACEs) and cardiac-related MACEs in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI).

methodsOverall, 1384 patients with ACS who underwent PCI between January 2016 and December 2018 were consecutively enrolled. Demographic characteristics and related laboratory results for 11 inflammatory markers were collected. Least absolute shrinkage and selection operator (LASSO)-COX regression, Kaplan- Meier, restricted cubic spline (RCS), receiver operator characteristic curve (ROC), time-dependent ROC, and Cox hazard proportional regression were applied to explore the values of individual and IPS parameters.

resultsBased on the LASSO analysis, albumin (ALB) and monocyte-to-lymphocyte ratio (MLR) were included in the construction of the IPS system. A higher IPS was associated with a significantly worse long-term prognosis in the Kaplan-Meier analysis (log-rank p < 0.001). The Cox proportional hazards model demonstrated that the IPS was an independent risk factor for patients with ACS undergoing PCI. In addition, the IPS remained an independent prognosticator compared to the lowest tertiles. The time-dependent ROC showed satisfactory values for the long-term prognosis of different MACEs. Additionally, RCS showed a linear association with IPS, all-cause MACEs, and cardiac-related MACEs.

conclusionsA higher IPS level was associated with an increased risk in patients with ACS undergoing PCI, suggesting that the IPS may be a useful method for risk stratification in the assessment of the long-term prognosis of ACS.

Indexed as

Acute Coronary SyndromePercutaneous Coronary InterventionPredictive Value of TestsAgedBiomarkersDecision Support TechniquesFemaleHumansInflammationInflammation MediatorsLymphocyte CountMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsALB protein, humanBiomarkersInflammation MediatorsSerum Albumin, HumanAcute coronary syndromeInflammatory prognostic scoring systemPercutaneous coronary intervention

Identifiers

PMID39707211
PMCPMC11660559

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.