Evidence map›Paper›PMID 39831216›Full record

ArticleJournal of thoracic disease2024

Prognostic roles of hematological indicators in programmed cell death protein 1/programmed cell death ligand 1 inhibitors for small-cell lung cancer: a retrospective cohort study.

Jiya Du, Qian Zhang, Le Tian, Yishan Chen, Ye Tian, Wolfram C M Dempke, Hugo Arasanz, Ross Andrew Soo, Zhiguo Zhou, Qingju Meng and 1 more

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

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

11 authors.

Jiya Du *Department of Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Qian Zhang *Department of Medical Oncology, Affiliated Hospital of Hebei University; Hebei Key Laboratory of Cancer Radiotherapy and Chemotherapy, Baoding, China.
Le Tian *Hebei Medical University, Shijiazhuang, China.
Yishan ChenHebei Medical University, Shijiazhuang, China.
Ye TianHebei Medical University, Shijiazhuang, China.
Wolfram C M DempkeDepartment of Haematology and Oncology, University of Munich, Munich, Germany.
Hugo ArasanzDepartment of Medical Oncology, Hospital Universitario de Navarra, Navarra Medical Research Institute (IdiSNA), Pamplona, Spain.
Ross Andrew SooDepartment of Haematology-Oncology, National University Cancer Institute Singapore, National University Health System, Singapore, Singapore.
Zhiguo ZhouDepartment of Radiotherapy, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Qingju MengDepartment of Orthopedics, The First Affiliated Hospital of Xingtai Medical College, Xingtai, China.
Yibing LiuDepartment of Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.ORCID https://orcid.org/0000-0001-5406-5799

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung cancer is the main cause of cancer death in the world, with small-cell lung cancer (SCLC) accounting for about 10-15% of all lung cancers. Although programmed cell death protein 1 (PD-1)/programmed cell death ligand 1 (PD-L1) inhibitors represent a major breakthrough in SCLC treatment, only a minority of patients will benefit and there is still a lack of accurate biomarkers to guide clinical application. Inflammation plays a crucial role in tumorigenesis, tumor development, metastasis, and drug resistance, but there is limited research on the predictive value of these inflammatory indicators in SCLC. The purpose of our study was to determine the influence of prognostic nutritional index (PNI), systemic immune inflammation (SII), and other indexes on the efficacy and prognosis of patients with SCLC treated with PD-1/PD-L1 inhibitors. Methods: A total of 700 patients of SCLC treated with PD-1/PD-L1 inhibitors in the Fourth Hospital of Hebei Medical University from January 2019 to January 2023 were retrospectively analysed. Among these patients, 246 were included after the inclusion and exclusion criteria were applied. The basic clinical data of patients were collected, included age, sex, PD-1 or PD-L1 inhibitors and so on. The neutrophil:lymphocyte ratio (NLR), platelet:lymphocyte ratio (PLR), PNI, SII, and monocyte:lymphocyte ratio (MLR) were calculated. SPSS 27 software was employed for statistical analysis. As of 1st March 2023, all patients had received a post-diagnosis follow-up. The median follow-up time was 11.7 months. Results: Among the 246 patients with SCLC receiving PD-1/PD-L1 inhibitor treatment. the overall response rate and disease control rate were 47.6% and 89.8%, respectively. Median progression-free survival (PFS) and median overall survival (OS) were 9.0 months and 21.4 months, respectively. Multivariate analysis showed that MLR [hazard ratio (HR) =0.631; P=0.01], and platelet (PLT) count (HR =1.641; P=0.009) were independent risk factors for PFS. NLR (HR =0.566, P=0.01) and lactate dehydrogenase (LDH) (HR =0.446; P=0.002) were independent risk factors for OS. Conclusions: Among patients with SCLC treated with PD-1/PD-L1 inhibitors, those with high MLR and low PLT had shorter PFS, whilst patients with high NLR and LDH had a shorter OS. NLR and LDH may be used as prognostic biomarkers patients with SCLC treated with PD-1/PD-L1 inhibitors. The promising clinical application of NLR and LDH in efficacy prognostic indicators and beneficiary selection for SCLC immunotherapy is highlighted.

Indexed as

hematological indicatorsprognostic indicatorsprogrammed cell death protein 1/programmed cell death ligand 1 inhibitors (PD-1/PD-L1 inhibitors)Small-cell lung cancer (SCLC)

Identifiers

PMID39831216
PMCPMC11740068

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.