Evidence map›Paper›PMID 40727457›Full record

ArticleJournal of inflammation research2025

Prognostic Role of Inflammatory Hematologic Indices in Predicting Acute Coronary Syndrome in Elderly Patients with Chronic Coronary Syndrome.

Qianxiao Bao, Tao Liu, Hui Song, Weiguo Bao, Weiguo Fan

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

5 authors.

Qianxiao BaoQueen Mary College, Nanchang University, Nanchang, Jiangxi, 330031, People's Republic of China.
Tao LiuMedical Experimental Diagnostic Center; Administrative Office, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250013, People's Republic of China.
Hui SongDepartment of Cardiology, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250013, People's Republic of China.
Weiguo BaoDepartment of Cardiovascular Surgery, The Second Hospital of Shandong University, Jinan, Shandong, 250013, People's Republic of China.
Weiguo FanDepartment of Cardiology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coronary artery disease (CAD) remains a leading cause of morbidity and mortality, with inflammation playing a central role in the transition from Chronic Coronary Syndrome (CCS) to acute coronary syndrome (ACS). This study investigates the predictive value of multiple inflammatory indices in assessing the risk of ACS. Methods: This retrospective case-control study included 1, 116 patients aged 60 and older diagnosed with CCS or ACS between June 2018 and June 2023. Patients were grouped into CCS and ACS categories, with inflammatory indices derived from hematological parameters. Key indices included the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic inflammatory response index (SIRI; calculated as monocyte count × neutrophil count / lymphocyte count), systemic immune-inflammation index (SII; platelet count × neutrophil count / lymphocyte count), and C-reactive protein-albumin-lymphocyte (CALLY) index (albumin × lymphocyte count / [C-reactive protein × 10]). Multivariate logistic regression and receiver operator characteristic (ROC) curve analyses assessed the indices' predictive capacity for ACS. Results: The ACS group demonstrated significantly elevated levels of inflammatory markers such as White Blood Cell Count (WBC), neutrophils, and monocytes. Among inflammatory indices, PLR, SIRI, and the SII were significant predictors of ACS. PLR had the highest area under the curve (AUC=0.841), with strong sensitivity (0.828) and specificity (0.747). SIRI followed with notable predictive efficacy (AUC=0.802). Increased BMI, diabetes, and adverse lipid profiles also correlated with heightened ACS risk. Conclusion: PLR, SIRI, and SII emerge as valuable prognostic markers for ACS, reflecting the underlying inflammatory processes central to CAD progression. Their integration into clinical assessments could improve risk stratification and guide interventions. Future research should aim to elucidate mechanisms linking systemic inflammation to coronary events and explore therapeutic strategies targeting these pathways.

Indexed as

acute coronary syndromecoronary artery diseaseinflammatory biomarkersneutrophil-to-lymphocyte ratioplatelet-to-lymphocyte ratiosystemic inflammatory response index

Identifiers

PMID40727457
PMCPMC12301150

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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.