Evidence map›Paper›PMID 38698843›Full record

ArticleFrontiers in immunology2024

Bone mineral density as an individual prognostic biomarker in NSCLC patients treated with immune checkpoint inhibitors.

Jie Lou, Bingxin Gong, Yi Li, Yusheng Guo, Lin Li, Jing Wang, Weiwei Liu, Ziang You, Hongyong Zhang, Feng Pan and 3 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A multicenter prospective matched comparative study on osteoporosis risk in cancer patients receiving chemotherapy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  6. Article
  7. Bone mineral density changes following immune checkpoint inhibitor therapy: insights from a case series analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
    Article
  8. Article
  9. 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

13 authors.

Jie Lou *Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Bingxin Gong *Hubei Key Laboratory of Molecular Imaging, Wuhan, China.
Yi Li *Hubei Key Laboratory of Molecular Imaging, Wuhan, China.
Yusheng GuoHubei Key Laboratory of Molecular Imaging, Wuhan, China.
Lin LiHubei Key Laboratory of Molecular Imaging, Wuhan, China.
Jing WangHubei Key Laboratory of Molecular Imaging, Wuhan, China.
Weiwei LiuHubei Key Laboratory of Molecular Imaging, Wuhan, China.
Ziang YouHubei Key Laboratory of Molecular Imaging, Wuhan, China.
Hongyong ZhangDepartment of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Feng PanHubei Key Laboratory of Molecular Imaging, Wuhan, China.
Bo LiangHubei Key Laboratory of Molecular Imaging, Wuhan, China.
Lian YangHubei Key Laboratory of Molecular Imaging, Wuhan, China.
Guofeng ZhouHubei Key Laboratory of Molecular Imaging, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Immune checkpoint inhibitors (ICIs) have left a deep impression in the treatment of non-small cell lung cancer (NSCLC), however, not all patients benefit from it. The purpose of this study was to investigate the prognostic value of baseline bone mineral density (BMD) derived from chest computed tomography (CT) scans in NSCLC patients treated with ICIs. Methods: This study included patients with advanced NSCLC who underwent ICI treatment at the Wuhan Union Hospital from March 2020 to October 2022. Baseline BMD was evaluated at non-contrast chest CT at the level of first lumbar vertebra. Patients were divided into BMD-lower group and BMD-higher group according to the optimal cutoff value calculated by X-tile software. Baseline characteristics of the two groups were compared and variables between the two groups were balanced by propensity score matching (PSM) analysis. We calculated the objective response rate (ORR) and disease control rate (DCR) of the two groups and analyzed overall survival (OS) and progression-free survival (PFS) using BMD and other clinical indexes through Cox regression models and Kaplan-Meier survival curves. Results: A total of 479 patients were included in this study, and all patients were divided into BMD-lower group (n=270) and BMD-higher group (n=209). After PSM analysis, each group consisted of 150 patients. ORR (43.3% vs. 43.5% before PSM, Conclusion: Lower baseline BMD is associated with worse clinical outcomes in NSCLC patients treated with ICIs. As a reliable and easily obtained individual prognostic biomarker, BMD can become a routine detection indicator before immunotherapy.

Indexed as

Bone DensityCarcinoma, Non-Small-Cell LungImmune Checkpoint InhibitorsLung NeoplasmsAdultAgedFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesTomography, X-Ray ComputedImmune Checkpoint Inhibitorsbone mineral densityimmune checkpoint inhibitorsimmunotherapynon-small cell lung cancerosteoporosisprognosis

Identifiers

PMID38698843
PMCPMC11063287

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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.