Evidence map›Paper›PMID 41404021›Full record

ArticleInternational journal of general medicine2025

Pan-Immune-Inflammatory Value Predicts the Risk of Myocardial Infarction Among Patients with Unstable Angina Pectoris and the Outcomes After Percutaneous Coronary Intervention.

Ce Chen, Bo Zhao, Yongyan Fan, Jianjun Peng

Abstract read
In one paragraph

Article in International journal of general medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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

4 authors.

Ce ChenDepartment of Cardiovascular Medicine, Beijing Shijitan Hospital Affiliated to Capital Medical University, Beijing, People's Republic of China.
Bo ZhaoDepartment of Cardiovascular Medicine, Beijing Shijitan Hospital Affiliated to Capital Medical University, Beijing, People's Republic of China.
Yongyan FanDepartment of Cardiovascular Medicine, Beijing Shijitan Hospital Affiliated to Capital Medical University, Beijing, People's Republic of China.
Jianjun PengDepartment of Cardiovascular Medicine, Beijing Shijitan Hospital Affiliated to Capital Medical University, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study investigates the potential of the pan-immune-inflammatory value (PIV) as a predictive indicator for myocardial infarction (MI) risk in unstable angina pectoris (UAP) patients and its association with major adverse cardiovascular events (MACE) after percutaneous coronary intervention (PCI). Methods: UAP patients diagnosed with MI underwent PCI and were monitored for MACE, including mortality, recurrent MI, revascularization, cerebrovascular accidents, and heart failure admissions. Clinical profiles and PIV levels were recorded. Multivariate logistic regression and receiver operating characteristic (ROC) analyses were conducted to identify variables associated with MI and MACE risk. Results: MI patients had higher PIV (409.07 ± 127.63 vs 284.44 ± 126.96 × 10 Conclusion: PIV is independently associated with MI risk in UAP patients and MACE following PCI. Combining PIV with lipid markers may enhance clinical risk assessment and inform management strategies.

Indexed as

major adverse cardiovascular eventsmyocardial infarctionpan-immune-inflammatory valuepercutaneous coronary interventionpredictive valueunstable angina pectoris

Identifiers

PMID41404021
PMCPMC12702783

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.