Evidence map›Paper›PMID 40613563›Full record

ArticleBiomolecules & biomedicine2025

Prognostic impact of pan-immune inflammation value in small-cell lung cancer treated with chemoradiotherapy and prophylactic cranial irradiation.

Aybala Nur Ucgul, Huseyin Hazir, Huseyin Bora

Abstract read
In one paragraph

Article in Biomolecules & biomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

3 authors.

Aybala Nur UcgulDepartment of Radiation Oncology, Gulhane Training and Research Hospital, Ankara, Turkiye.
Huseyin HazirDepartment of Radiation Oncology, Faculty of Medicine, Gazi University, Ankara, Turkiye.
Huseyin BoraDepartment of Radiation Oncology, Faculty of Medicine, Gazi University, Ankara, Turkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Determining prognosis is crucial for treatment selection, especially for prophylactic cranial irradiation (PCI), in patients with limited-stage small cell lung cancer (LS-SCLC). This study evaluates the prognostic value of the pan-immune inflammation value (PIV) in patients with LS-SCLC. We included patients who underwent thoracic chemoradiotherapy (TRT) and PCI at our clinic between July 2012 and April 2024. PIV was calculated as (neutrophil count × platelet count × monocyte count) / lymphocyte count. Receiver operating characteristic (ROC) curve analysis was used to determine the optimal pre-treatment PIV cut-off to divide patients into two groups. Survival outcomes between these groups were compared using Kaplan-Meier analysis and log-rank tests. Multivariate analyses were conducted using Cox regression. Fifty-nine patients were included in the study. The optimal PIV cut-off was identified as 911 (AUC: 0.60, Sensitivity: 0.31, Specificity: 0.94, J-index: 0.26). Patients were grouped based on PIV levels: low (<911) and high (≥911). Lower PIV levels were significantly associated with improved overall survival (OS) (39 months vs. 10 months, p < 0.001) and intracranial progression-free survival (ICPFS) (not reached vs. 15 months, p < 0.001). The independent prognostic value of PIV was confirmed in multivariate analyses for both OS (p < 0.001) and ICPFS (p < 0.001). These findings suggest that pre-treatment PIV is an independent prognostic marker in LS-SCLC patients undergoing TRT and PCI.

Indexed as

ChemoradiotherapyCranial IrradiationInflammationLung NeoplasmsSmall Cell Lung CarcinomaAgedFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesROC Curve

Identifiers

PMID40613563
PMCPMC12461269

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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.