Evidence map›Paper›PMID 41681891›Full record

ArticleCancers2026

Prognostic Value of Systemic Inflammatory Markers in Locally Advanced or Metastatic Melanoma: A Real-World Analysis.

Burçin Çakan Demirel, Semra Taş, Taliha Güçlü Kantar, Melek Özdemir, Tolga Doğan, Canan Karan, Burcu Yapar Taşköylü, Atike Gökçen Demiray, Serkan Değirmencioğlu, Ahmet Bilici and 2 more

Abstract read
In one paragraph

Article in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

12 authors.

Burçin Çakan DemirelDepartment of Medical Oncology, School of Medicine, Istanbul Medipol University, Istanbul Medipol Mega University Hospital, 34214 Istanbul, Türkiye.ORCID 0000-0003-0734-0692
Semra TaşDepartment of Medical Oncology, School of Medicine, Pamukkale University, 20160 Denizli, Türkiye.ORCID 0000-0002-9441-9210
Taliha Güçlü KantarDepartment of Medical Oncology, Denizli State Hospital, 20070 Denizli, Türkiye.ORCID 0000-0002-7836-4272
Melek ÖzdemirDepartment of Medical Oncology, Denizli State Hospital, 20070 Denizli, Türkiye.ORCID 0000-0003-1894-9743
Tolga DoğanDepartment of Medical Oncology, Denizli State Hospital, 20070 Denizli, Türkiye.ORCID 0000-0003-1281-942X
Canan KaranDepartment of Medical Oncology, Tekden Hospital, 20010 Denizli, Türkiye.ORCID 0000-0002-1293-2046
Burcu Yapar TaşköylüDepartment of Medical Oncology, School of Medicine, Pamukkale University, 20160 Denizli, Türkiye.
Atike Gökçen DemirayDepartment of Medical Oncology, School of Medicine, Pamukkale University, 20160 Denizli, Türkiye.ORCID 0000-0003-4397-5468
Serkan DeğirmencioğluDepartment of Medical Oncology, Denipol Hospital, 20010 Denizli, Türkiye.ORCID 0000-0002-1213-2778
Ahmet BiliciDepartment of Medical Oncology, School of Medicine, Istanbul Medipol University, Istanbul Medipol Mega University Hospital, 34214 Istanbul, Türkiye.ORCID 0000-0002-0443-6966
Gamze Gököz DoğuDepartment of Medical Oncology, School of Medicine, Pamukkale University, 20160 Denizli, Türkiye.ORCID 0000-0001-8142-0362
Arzu YarenDepartment of Medical Oncology, School of Medicine, Pamukkale University, 20160 Denizli, Türkiye.ORCID 0000-0003-1436-8650

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesMalignant melanoma remains a highly aggressive malignancy with substantial mortality despite advances in systemic therapy. Identifying simple and reproducible prognostic biomarkers is essential for improving risk stratification. Inflammation- and nutrition-based indices-including the Systemic Immune-Inflammation Index (SII), Systemic Inflammatory Response Index (SIRI), dynamic SIRI, and the Controlling Nutritional Status (CONUT) score-have shown prognostic value in various cancers. This study assessed the prognostic significance of these indices in patients with locally advanced or metastatic melanoma using real-world data.

methodsA retrospective cohort of 138 patients treated between 2010 and 2023 was analyzed. Baseline demographic, clinical, nutritional, and inflammatory parameters were collected. Optimal cut-off values for SII, SIRI, 6-month SIRI, and dynamic SIRI were determined using receiver operating characteristic analysis. Overall survival (OS) and progression-free survival (PFS) were evaluated using the Kaplan-Meier method, and independent predictors were identified with multivariate Cox regression.

resultsElevated baseline SII and SIRI were significantly associated with shorter overall survival. Both 6-month SIRI and dynamic SIRI demonstrated strong prognostic value, emphasizing the importance of longitudinal inflammatory changes. In multivariate analysis, response to first-line therapy emerged as the only independent predictor of disease progression. Patients with a CONUT score ≥ 3 showed significantly shorter OS and PFS in univariate analyses, underscoring the prognostic relevance of nutritional status.

conclusionsSII, SIRI, 6-month SIRI, dynamic SIRI, and CONUT are practical, accessible, and reproducible biomarkers with meaningful prognostic value in advanced melanoma. Incorporating these indices into routine clinical assessment may enhance risk stratification and support more personalized treatment decision-making.

Indexed as

CONUTmalignant melanomaprognosisSIISIRIsystemic inflammation

Identifiers

PMID41681891
PMCPMC12896882

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.