Evidence map›Paper›PMID 42084340›Full record

ArticleUlusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES2026

A different perspective in trauma patients: can pan-immune-inflammation value (PIV) predict mortality?

Gürkan Güneri, Kevser Dilek Andıç, Funda Çatan Inan, Kadir Çorbacı

Abstract read
In one paragraph

Article in Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Gürkan GüneriDepartment of General Surgery, Bilecik Şeyh Edebali University Faculty of Medicine, Bilecik-Türkiye.
Kevser Dilek AndıçDepartment of Anesthesia and Reanimation Bilecik Şeyh Edebali University, Faculty of Medicine, Bilecik-Türkiye.
Funda Çatan InanDepartment of Biostatistics and Medical Informatics, Bilecik Şeyh Edebali University Faculty of Medicine, Bilecik-Türkiye.
Kadir ÇorbacıDepartment of General Surgery, Bilecik Şeyh Edebali University Faculty of Medicine, Bilecik-Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTrauma is a leading cause of mortality worldwide. Accurate prognostic assessment in emergency departments and intensive care units is essential for effective triage and management. Consequently, various prognostic markers have been explored in trauma populations. The pan-immune-inflammation (PIV) is a biomarker derived from a complete blood count (CBC) and can be rapidly obtained in clinical settings. This study aimed to evaluate the role of PIV in predicting the prognosis of trauma patients.

methodsThis study examined patients admitted to a tertiary-level intensive care unit due to trauma at a training and research hospital. Established prognostic parameters, including the Revised Trauma Score (RTS), Glasgow Coma Scale (GCS), and Acute Physi-ology and Chronic Health Evaluation II (APACHE II) scores, were evaluated. PIV values were calculated from laboratory data. Mortality, morbidity, and length of hospital stay were retrospectively analyzed. The predictive value of PIV for mortality was assessed using statistical methods.

resultsA total of 74 patients were included. The survivor group comprised seven females (11.5%) and 54 males (88.5%), while the non-survivor group included one female (7.7%) and 12 males (92.3%). PIV, RTS, GCS, and APACHE II scores were effective in predicting mortality (p<0.001). The cut-off value for PIV was 6367.5; patients with PIV values below this threshold had a higher risk of mortality compared to those with higher values.

conclusionRapid and reliable prognostication is essential in emergency settings. PIV demonstrates predictive performance comparable to established prognostic scoring systems. Early assessment of PIV in trauma patients may support more effective triage and treatment planning.

Indexed as

InflammationWounds and InjuriesAdultAPACHEBiomarkersBlood Cell CountFemaleGlasgow Coma ScaleHumansIntensive Care UnitsMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective StudiesTurkeyBiomarkers

Identifiers

PMID42084340
PMCPMC13168739

What OpenQuestion 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 OpenQuestion graph.