Evidence map›Paper›PMID 39747391›Full record

SynthesisScientific reports2025

Pretreatment neutrophil-to-lymphocyte ratio is associated with immunotherapy efficacy in patients with advanced cancer: a systematic review and meta-analysis.

Jialin Su, Yuning Li, Shuhua Tan, Tianli Cheng, Yongzhong Luo, Lemeng Zhang

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 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

41 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Albumin-Bound STING Agonist Reprograms HSPCs to Antitumor Neutrophils Enhancing CD8Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Observational
  17. Article
  18. Article
  19. Article
  20. Baseline immune-organFrontiers in medicine · 2026
    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

6 authors.

Jialin SuThoracic Medicine Department 1, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Tongzipo Rd 283#, Yuelu District, Changsha, 410013, Hunan Province, People's Republic of China.
Yuning LiThoracic Medicine Department 1, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Tongzipo Rd 283#, Yuelu District, Changsha, 410013, Hunan Province, People's Republic of China.
Shuhua TanSchool of Life and Health Sciences, Hunan University of Science and Technology, Xiangtan, 411201, People's Republic of China.
Tianli ChengThoracic Medicine Department 1, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Tongzipo Rd 283#, Yuelu District, Changsha, 410013, Hunan Province, People's Republic of China.
Yongzhong LuoThoracic Medicine Department 1, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Tongzipo Rd 283#, Yuelu District, Changsha, 410013, Hunan Province, People's Republic of China.
Lemeng ZhangThoracic Medicine Department 1, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Tongzipo Rd 283#, Yuelu District, Changsha, 410013, Hunan Province, People's Republic of China. zhanglemeng@hnca.org.cn.

Funding

Guangdong Association of Clinical Trials (GACT)/Chinese Thoracic Oncology Group (CTONG) and Guangdong Provincial Key Lab of Translational Medicine in Lung Cancer 2017B030314120Natural Science Foundation of Changsha Science and Technology Bureau Kq2208150Natural Science Foundation of Hunan Province National Health Commission B202303027655Wu Jieping Foundation of China 320.6750.2022-22-59
6 · The paper itself

Abstract

This study aimed to systematically investigate the value of the pre-treatment neutrophil-to-lymphocyte ratio (NLR) in prognosticating the outcome of patients with advanced cancer receiving immunotherapy. We searched Embase, PubMed, Web of Science, and Cochrane Library to identify studies about cancer patients with immunotherapy until November 29, 2024. Retrospective or prospective cohort studies with pretreatment NLR data were included. The odds ratio (OR) and 95% confidence interval (CI) were calculated to evaluate the predictive value of NLR in prognosis and immunotherapy efficacy. The random effect model was applied for meta-analysis and the risk of bias was assessed by Egger test and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) method. A total of 129 articles involving 18780 cases were finally selected. Most cases were advanced cancers with the median follow-up period ranged 2-48.6 months. The high pretreatment NLR level was associated with the significantly reduced OS (HR (95%CI) = 2.26 (2.03, 2.53)), PFS (HR (95% CI) = 1.83 (1.69, 1.98)), ORR (OR (95%CI) = 0.53 (0.46, 0.61)) and DCR (OR (95% CI) = 0.36 (0.29, 0.43)) in patients with advanced cancer receiving immunotherapy. The quality of evidence was low, attributed to the serious risk of bias and incon¬sistency. An elevated NLR before immunotherapy was significantly associated with poor clinical outcomes in patients with advanced cancer.

Indexed as

ImmunotherapyLymphocytesNeoplasmsNeutrophilsHumansLymphocyte CountPrognosisTreatment OutcomeAdvanced cancerImmunotherapyMeta-analysisNeutrophil-to-lymphocyte ratio

Identifiers

PMID39747391
PMCPMC11695637

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.