Evidence map›Paper›PMID 37197527›Full record

ArticleJournal of thoracic disease2023

C-reactive protein and lactate dehydrogenase serum levels potentially predict the response to checkpoint inhibitors in patients with advanced non-small cell lung cancer.

Yilun Wei, Jinhe Xu, Xiulian Huang, Siting Xie, Ping Lin, Chenxi Wang, Yuxin Guo, Shumei Zou, Zhongquan Zhao, Wen Wen and 11 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
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, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Application of random survival forest to establish a nomogram combining clinlabomics-score and clinical data for predicting brain metastasis in primary lung cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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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

21 authors at 4 institutions in 1 country.

Yilun Wei *Fu Zong Clinical Medicine, Fujian Medical University, Fuzhou, China.
Jinhe Xu *Department of Pulmonary and Critical Care Medicine, Fuzhou General Hospital of Fujian Medical University, Dongfang Hospital of Xiamen University, The 900th Hospital of the Joint Logistic Support Force, PLA, Fuzhou, China.
Xiulian Huang *Fu Zong Clinical Medicine, Fujian Medical University, Fuzhou, China.
Siting XieFu Zong Clinical Medicine, Fujian Medical University, Fuzhou, China.
Ping LinFu Zong Clinical Medicine, Fujian Medical University, Fuzhou, China.
Chenxi WangFu Zong Clinical Medicine, Fujian Medical University, Fuzhou, China.
Yuxin GuoFu Zong Clinical Medicine, Fujian Medical University, Fuzhou, China.
Shumei ZouDepartment of Pulmonary and Critical Care Medicine, Fuzhou General Hospital of Fujian Medical University, Dongfang Hospital of Xiamen University, The 900th Hospital of the Joint Logistic Support Force, PLA, Fuzhou, China.
Zhongquan ZhaoDepartment of Pulmonary and Critical Care Medicine, Fuzhou General Hospital of Fujian Medical University, Dongfang Hospital of Xiamen University, The 900th Hospital of the Joint Logistic Support Force, PLA, Fuzhou, China.
Wen WenDepartment of Pulmonary and Critical Care Medicine, Fuzhou General Hospital of Fujian Medical University, Dongfang Hospital of Xiamen University, The 900th Hospital of the Joint Logistic Support Force, PLA, Fuzhou, China.
Yingfang SongDepartment of Pulmonary and Critical Care Medicine, Fuzhou General Hospital of Fujian Medical University, Dongfang Hospital of Xiamen University, The 900th Hospital of the Joint Logistic Support Force, PLA, Fuzhou, China.
Zhenming BaoDepartment of Pulmonary and Critical Care Medicine, Fuzhou General Hospital of Fujian Medical University, Dongfang Hospital of Xiamen University, The 900th Hospital of the Joint Logistic Support Force, PLA, Fuzhou, China.
Lei ZhangDepartment of Pulmonary and Critical Care Medicine, Fuzhou General Hospital of Fujian Medical University, Dongfang Hospital of Xiamen University, The 900th Hospital of the Joint Logistic Support Force, PLA, Fuzhou, China.
Wei LiuDepartment of Pulmonary and Critical Care Medicine, Fuzhou General Hospital of Fujian Medical University, Dongfang Hospital of Xiamen University, The 900th Hospital of the Joint Logistic Support Force, PLA, Fuzhou, China.
Wencui KongDepartment of Pulmonary and Critical Care Medicine, Fuzhou General Hospital of Fujian Medical University, Dongfang Hospital of Xiamen University, The 900th Hospital of the Joint Logistic Support Force, PLA, Fuzhou, China.
Wenwu WangDepartment of Oncology, the Third Affiliated People's Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Baochang HeDepartment of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, China.
Shenghang ZhangInstitute for Clinical Laboratory Medicine, The 900th Hospital of the Joint Logistic Support Force, PLA, Fuzhou, China.
Chengzhi ZhouGuangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Ying ChenDepartment of Pulmonary and Critical Care Medicine, Fuzhou General Hospital of Fujian Medical University, Dongfang Hospital of Xiamen University, The 900th Hospital of the Joint Logistic Support Force, PLA, Fuzhou, China.
Zongyang YuDepartment of Pulmonary and Critical Care Medicine, Fuzhou General Hospital of Fujian Medical University, Dongfang Hospital of Xiamen University, The 900th Hospital of the Joint Logistic Support Force, PLA, Fuzhou, China.
Fujian Medical University · CNXiamen University · CNFujian University of Traditional Chinese Medicine · CNGuangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Programmed cell death-ligand 1 (PD-L1) expression and other biomarkers are not completely reliable predictors of the response to checkpoint inhibitors in patients with advanced non-small cell lung cancer (NSCLC). We investigated the value of peripheral serological inflammatory indicators and their combination in predicting the prognosis of patients with advanced NSCLC treated with checkpoint inhibitors. Methods: This study retrospectively analyzed 116 NSCLC patients treated with anti-programmed cell death protein 1 (PD-1)/PD-L1 monoclonal antibodies. Clinical data of the patients were collected before treatment. X-tile plots determined the optimal cut-point for C-reactive protein (CRP) and lactate dehydrogenase (LDH). A survival analysis was performed using the Kaplan-Meier method. Multi-factor Cox regression analysis was used to evaluate the statistically significant factors identified in the univariate analysis. Results: The X-tile plots show the cut-points of CRP and LDH were 8 mg/L and 312 U/L, respectively. Univariate analyses showed high baseline serum LDH and low CRP levels were associated with adverse progression-free survival (PFS). Multivariate analyses indicated that CRP (HR, 0.214, 95% CI: 0.053-0.857, P=0.029) could be a predictive indicator for PFS. In addition, we evaluated the combination of CRP and LDH, and univariate analyses showed that patients with high CRP and low LDH exhibited significantly better PFS than those in the other groups. Conclusions: Baseline levels of serum CRP and LDH have the potential to become a convenient clinical tool to predict response to immunotherapy in advanced non-small cell lung cancer.

Indexed as

checkpoint inhibitorsC-reactive protein (CRP)lactic dehydrogenase (LDH)Non-small cell lung cancer (NSCLC)

Identifiers

PMID37197527
PMCPMC10183533
OpenAlexW4366202499

What OpenQuestion holds

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Registered trials

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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.