Evidence map›Paper›PMID 40468280›Full record

SynthesisBMC cancer2025

The prognostic/ predictive value of the systematic inflammatory response in patients receiving immunotherapy for non-small cell lung cancer: a systematic review and meta-analysis.

Randa Saeed, Stephen McSorley, Almudena Cascales, Donald C McMillan

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Review
  5. Article
  6. Article
  7. 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

4 authors.

Randa SaeedAcademic Unit of Surgery, School of Medicine, University of Glasgow, Glasgow Royal Infirmary, Glasgow, New Lister Building, G31 2ERLevel2, UK. 2344108S@student.gla.ac.uk.
Stephen McSorleyAcademic Unit of Surgery, School of Medicine, University of Glasgow, Glasgow Royal Infirmary, Glasgow, New Lister Building, G31 2ERLevel2, UK.
Almudena CascalesConsultant Clinical Oncologist, Edinburgh Cancer Centre, Western General Hospital, Edinburgh, Scotland, UK.
Donald C McMillanAcademic Unit of Surgery, School of Medicine, University of Glasgow, Glasgow Royal Infirmary, Glasgow, New Lister Building, G31 2ERLevel2, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe second most common malignancy after breast cancer is lung cancer (LC). Small cell lung cancer accounts for 15%, while non-small lung cancer (NSCLC) accounts for 85% of cases. Immunotherapy has improved treatment outcomes in NSCLC. However, the role of systemic inflammation-based prognostic scores in predicting response to treatment is not clear. The meta-analyses aims to evaluate the prognostic/ predictive value of inflammatory biomarkers, including NLR, ALI, PLR, CRP, and mGPS, and their potential associated with overall survival in NSCLC patients receiving immunotherapy as first-line or second-line treatment.

methodsA systematic review and meta-analysis was conducted following the Cochrane Handbook and PRISMA guidelines. Searches were performed in PubMed, Cochrane Library, and Web of Science for studies published until January 1, 2022, using specific keywords related to NSCLC, immunotherapy, inflammatory biomarkers and survival. Meta-analysis was performed using RevMan software, analyzing the hazard ratio (HRs) with a 95% confidence interval (CIs) primarily in relation to overall survival.

resultsSix thirty three records were identified, and 17 articles were included in the meta-analysis. The pooled analysis of NLR, ALI, PLR, CRP, and mGPS was significantly associated with OS without significant heterogeneity (NLR: HR = 2.15; 95% CI 1.60 - 2.87; P-Value < 0.00001); (ALI: HR = 2.03; 95% CI 1.43 - 2.88; P-Value < 0.0001); (PLR: HR = 4.06; 95% CI 2.14 - 7.67; P-Value < 0.0001); (CRP: HR = 5.37; 95% CI 3.90 - 7.39; P-Value < 0.00001); and (mGPS: HR = 3.27; 95% CI 1.26 - 8.28; P-Value = 0.01), respectively.

conclusionsSystemic inflammatory biomarkers demonstrate independent prognostic/ predictive value in patients with advanced non-small cell lung cancer who receive immunotherapy as either the first-line or second-line therapy.

Indexed as

Carcinoma, Non-Small-Cell LungImmunotherapyInflammationLung NeoplasmsBiomarkers, TumorHumansPredictive Value of TestsPrognosisBiomarkers, TumorAdvanced Non-Small Cell Lung CancersImmunotherapyMeta-AnalysisOverall SurvivalSystematic ReviewSystemic Inflammation Biomarkers

Identifiers

PMID40468280
PMCPMC12135607

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.