Evidence map›Paper›PMID 39036926›Full record

ArticleBiomolecules & biomedicine2024

Prognostic value of immunotherapy in advanced NSCLC based on baseline and dynamic changes in HALP.

Hui Su, Chao Yu, Guiming Sun, Baozhong Wang, Yingjie Gao, Xiaolan Liu, Qingcui Song, Xuezhen Ma

Abstract read
In one paragraph

Article in Biomolecules & biomedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Revealing the prognostic landscape of hemoglobin, albumin, lymphocyte, and platelet score in patients with lung cancer: a pooled analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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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

8 authors.

Hui SuDepartment of Oncology, Medical College of Qingdao University, Qingdao, China; Department of Oncology, Liaocheng People's Hospital, Liaocheng, China.
Chao YuDepartment of Orthopedics, Liaocheng People's Hospital, Liaocheng, China.
Guiming SunDepartment of Oncology, Liaocheng People's Hospital, Liaocheng, China.
Baozhong WangDepartment of Oncology, Liaocheng People's Hospital, Liaocheng, China.
Yingjie GaoDepartment of Oncology, Liaocheng People's Hospital, Liaocheng, China.
Xiaolan LiuClinical Medicine, Shandong Second Medical University, Weifang, China.
Qingcui SongDepartment of Oncology, Liaocheng People's Hospital, Liaocheng, China.
Xuezhen MaDepartment of Oncology, Affiliated Qingdao Central Hospital of Qingdao University, Qingdao Cancer Hospital, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICIs) enhance the tumor-killing ability of T-cells in non-small cell lung cancer (NSCLC), improving overall survival (OS) and revolutionizing treatment for advanced stages. However, challenges remain, such as low response rates and the lack of effective markers for selecting candidates. This study evaluated the impact of hemoglobin, albumin, and platelet (HALP), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) on the efficacy of immunotherapy and survival outcomes in advanced NSCLC. Additionally, it aimed to develop a nomogram based on these parameters. Clinical and hematological data from NSCLC patients who received immunotherapy were analyzed. Efficacy was assessed using the immune Response Evaluation Criteria in Solid Tumors (iRECIST), and progression-free survival (PFS) and OS were evaluated. Prediction models incorporated baseline and post-treatment HALP, NLR, and PLR values. The 203 patients had a median follow-up of 16 months, a median PFS (mPFS) of seven months (6.0-8.0), while the median OS (mOS) was not reached (24.0-not available). Pretreatment PLR (PLR0) was associated with a higher disease control rate (DCR) (odds ratio [OR] = 0.258), while initial immunotherapy and NLR after four treatment cycles (NLR4C) significantly improved the objective response rate (ORR). Cox regression analysis showed that pretreatment HALP (HALP0), HALP after four cycles of treatment (HALP4C), and pretreatment NLR (NLR0) significantly impacted PFS. Additionally, HALP0, NLR0, and PLR after four treatment cycles (PLR4C) were associated with OS. The C-indices for PFS and OS were 0.823 and 0.878, respectively, indicating good predictive accuracy. HALP, NLR, and PLR at various time points effectively predicted immunotherapy response in advanced NSCLC patients, with low HALP combined with high NLR and PLR indicating a poor prognosis. These findings could serve as the basis for stratified randomized controlled trials (RCTs) in the future.

Indexed as

Carcinoma, Non-Small-Cell LungImmunotherapyLung NeoplasmsNeutrophilsAdultAgedAged, 80 and overBlood PlateletsFemaleHemoglobinsHumansImmune Checkpoint InhibitorsLymphocytesMaleMiddle AgedPrognosisHemoglobinsImmune Checkpoint Inhibitors

Identifiers

PMID39036926
PMCPMC11647261

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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.