Evidence map›Paper›PMID 37872469›Full record

SynthesisBMC cancer2023

Impact of BMI on the survival outcomes of non-small cell lung cancer patients treated with immune checkpoint inhibitors: a meta-analysis.

Tongtong Zhang, Shuluan Li, Jianhua Chang, Yan Qin, Chao Li

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. The effect of BMI on survival outcome of breast cancer patients: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Association Between Body Mass Index and Survival in Patients with De Novo Metastatic Non-Small Cell Lung Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2024
    Article
  18. Review
  19. Article
  20. Review
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

5 authors.

Tongtong Zhang *Department of Medical Oncology, National Cancer Center, National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Guangdong, Shenzhen, 518116, China.
Shuluan Li *Department of Nutrition, Shenzhen Hospital, National Cancer Center, National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Guangdong, Shenzhen, 518116, China.
Jianhua ChangDepartment of Medical Oncology, National Cancer Center, National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Guangdong, Shenzhen, 518116, China.
Yan QinDepartment of Medical Oncology, National Cancer Center, National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Guangdong, Shenzhen, 518116, China. qinyan66@vip.sina.com.
Chao LiDepartment of Pharmacy, Shenzhen Hospital, National Cancer Center, National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Guangdong, Shenzhen, 518116, China. lichao_9920@qq.com.

Funding

Hospital Research Project SZ2020QN002Hospital Research Project SZ2020QN020
6 · The paper itself

Abstract

objectivesICIs have become the standard treatment for advanced NSCLC patients. Currently, PD-L1 is the most widely useful biomarker to predict ICI efficacy, but the sensitivity and specificity are limited. Therefore, the useful predictive biomarkers of ICI efficacy is urgently needed. BMI is an internationally used measure of body health. Obesity may affect ICI efficacy by changing T cell functions. This meta-analysis aimed to clarify the relationship between BMI and survival outcomes of NSCLC patients treated with ICIs.

methodsA systematic review was conducted to identify studies that assessed the association between BMI and survival outcomes in patients treated with ICIs. OS was the primary endpoint, and PFS was the secondary endpoint. Random-effect models or fixed-effect models were utilized to combine study effects according to the Cochran Q and I

resultsNine studies, including 4602 NSCLC patients treated with ICIs, that met the inclusion criteria were selected for this meta-analysis. There was no significant difference in PFS (HR 0.885; 95% CI 0.777-1.009, p = 0.068) or OS (HR 0.947; 95% CI 0.789-1.137, p = 0.560) between the low BMI group and the high BMI group. However, in the subgroup analysis, compared with normal-weight patients, overweight and obese patients achieved prolonged PFS (HR 0.862; 95% CI 0.760-0.978, p = 0.021) and OS (HR 0.818; 95% CI 0.741-0.902, p<0.0001).

conclusionOverweight and obese NSCLC patients tend to achieve prolonged survival time with ICI regimens. Further prospective studies are needed to strengthen the association between ICI outcomes and BMI levels.

Indexed as

Antineoplastic Agents, ImmunologicalCarcinoma, Non-Small-Cell LungLung NeoplasmsBiomarkers, TumorBody Mass IndexHumansImmune Checkpoint InhibitorsObesityOverweightAntineoplastic Agents, ImmunologicalBiomarkers, TumorImmune Checkpoint InhibitorsBMIICIsNSCLC

Identifiers

PMID37872469
PMCPMC10594865

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.