Evidence map›Paper›PMID 38622332›Full record

ArticleCardiovascular toxicology2024

Could Pan-Immune-Inflammation Value be a Marker for the Diagnosis of Coronary Slow Flow Phenomenon?

Mustafa Kaplangoray, Kenan Toprak, Edhem Deveci, Cuneyt Caglayan, Ebru Şahin

Abstract readComparative Study
In one paragraph

Article in Cardiovascular toxicology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. A different perspective in trauma patients: can pan-immune-inflammation value (PIV) predict mortality?Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2026
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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.

Mustafa KaplangorayDepartment of Cardiology, Faculty of Medicine, Bilecik Şehy Edebali University, Bilecik, Turkey. mustafa.kaplangoray@bilecik.edu.tr.
Kenan ToprakDepartment of Cardiology, Faculty of Medicine, Harran University, Şanlıurfa, Turkey.
Edhem DeveciDepartment of Cardiology, University of Health Sciences, Mehmet Akif İnan Research and Training Hospital, Şanlıurfa, Turkey.
Cuneyt CaglayanDepartment of Medical Biochemistry, Faculty of Medicine, Bilecik Şehy Edebali University, Bilecik, Turkey. cuneyt.caglayan@bilecik.edu.tr.
Ebru ŞahinDepartment of Cardiology, Bilecik Training and Research Hospital, Bilecik, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammation plays a key role in the pathogenesis of the coronary slow flow phenomenon (CSFP). The newly developed inflammatory marker, pan-immune-inflammation value (PIV), is associated with adverse cardiovascular events. This study investigated the predictive value of PIV for diagnosing CSFP in comparison to other inflammation-based markers. A total of 214 patients, 109 in the CSFP group and 105 in the normal coronary flow (NCF) group, were retrospectively included in the study. Coronary flow was calculated using the Thrombolysis in Myocardial Infarction frame count method. In addition to PIV, other inflammatory markers such as neutrophil-lymphocyte ratio, platelet-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) were calculated for the patients. The average age of patients was 50.3 ± 8.4, with a male ratio of 55.1%. Compared to the NCF group, patients in the CSFP group had higher levels of hyperlipidemia, glucose, triglyceride, NLR, PLR, SII, and PIV, while their high-density lipoprotein cholesterol (HDL-C), was lower (p < 0.05). Logistic regression analysis demonstrated that HDL-C, glucose, triglyceride, and PIV were independent predictor factors for CSFP (p < 0.05). PIV is a strong and independent predictor factor for CSFP and superior in predicting CSFP compared to other inflammatory markers.

Indexed as

BiomarkersCoronary CirculationInflammation MediatorsNo-Reflow PhenomenonPredictive Value of TestsAdultBlood Flow VelocityBlood PlateletsCoronary AngiographyFemaleHumansInflammationLymphocyte CountLymphocytesMaleMiddle AgedBiomarkersInflammation MediatorsCoronary angiographyCoronary slow flow phenomenonInflammationPan-immune-inflammation value

Identifiers

PMID38622332
PMCPMC11076385

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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.