Evidence map›Paper›PMID 41280922›Full record

ArticleFrontiers in immunology2025

Prognostic value of the MDACC-NLR score in extensive-stage small-cell lung cancer treated with first-line chemoimmunotherapy.

Dan Li, Xiaolin Li, Ning Liu, Bo Wang, Hui Jin, Yan Liu, Jiayin Liu, Xue Zhang, Long Wang, Zhisong Fan and 4 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

14 authors.

Dan LiDepartment of Medical Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Xiaolin LiDepartment of Medical Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Ning LiuDepartment of Medical Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Bo WangDepartment of Medical Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Hui JinDepartment of Medical Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Yan LiuDepartment of Medical Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Jiayin LiuDepartment of Medical Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Xue ZhangDepartment of Medical Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Long WangDepartment of Medical Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Zhisong FanDepartment of Medical Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Li FengDepartment of Medical Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Jing HanDepartment of Medical Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Jing ZuoDepartment of Medical Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Yudong WangDepartment of Medical Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the prognostic performance of six scoring systems in predicting outcomes of first-line chemo-immunotherapy in patients with extensive-stage small cell lung cancer (ES-SCLC), aiming to guide individualized treatment. Methods: This single-center retrospective study included 197 ES-SCLC patients treated with first-line chemo-immunotherapy. Clinical and laboratory data were collected, including baseline characteristics, treatment responses, and survival outcomes. The prognostic impact of six scoring systems (RHM, MDACC, MDACC+NLR, MDA-ICI, LIPI, GRIm) was assessed using univariate and multivariate Cox regression analyses for progression-free survival (PFS) and overall survival (OS). Kaplan-Meier analysis was conducted for risk stratification. Results: By the last follow-up (October 15, 2024), the median follow-up was 12 months, with 113 deaths (57.3%). The objective response rate was 75.6%. ECOG ≥1, lung metastasis, and liver metastasis were independent predictors of poorer PFS and OS. Among the scoring systems, only MDACC+NLR effectively stratified patients: low-risk patients had significantly longer PFS and OS (both p = 0.02). MDACC alone did not distinguish PFS among risk groups (p = 0.17) but showed significant OS differences (p = 0.02). Other systems (RHM, MDA-ICI, LIPI, GRIm) lacked significant discriminatory ability for both PFS and OS (all p > 0.05). Conclusion: ECOG ≥1, lung metastasis, and liver metastasis are adverse prognostic factors for ES-SCLC patients receiving first-line chemo-immunotherapy. The MDACC+NLR scoring system provides superior predictive value for treatment outcomes and survival, supporting its potential utility for clinical risk stratification.

Indexed as

ImmunotherapyLung NeoplasmsSmall Cell Lung CarcinomaAdultAgedAged, 80 and overFemaleHumansLymphocyte CountMaleMiddle AgedNeoplasm StagingPrognosisRetrospective StudiesTreatment Outcomechemoimmunotherapyextensive-stage small cell lung cancer (ES-SCLC)MDACC-NLRprognostic scoring modelsurvival prediction

Identifiers

PMID41280922
PMCPMC12634505

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