Evidence map›Paper›PMID 38813753›Full record

ArticleCancer biology & therapy2024

NRS2002 score as a prognostic factor in solid tumors treated with immune checkpoint inhibitor therapy: a real-world evidence analysis.

Wanfen Tang, Chenghui Li, Dong Huang, Shishi Zhou, Hongjuan Zheng, Qinghua Wang, Xia Zhang, Jianfei Fu

Abstract read
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Article in Cancer biology & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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  5. A dynamic online nomogram for predicting nutritional risk in nasopharyngeal carcinoma patients after radiotherapy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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  14. FGF19 is a biomarker associated with prognosis and immunity in colorectal cancer.International journal of immunopathology and pharmacology
    Article
4 · The record

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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.

Wanfen TangDepartment of Medical Oncology, Jinhua Municipal Central Hospital, Hangzhou, China.
Chenghui LiDepartment of Medical Oncology, Jinhua Municipal Central Hospital, Hangzhou, China.
Dong HuangDepartment of Colorectal Surgery, Jinhua Municipal Central Hospital, Hangzhou, China.
Shishi ZhouDepartment of Medical Oncology, Jinhua Municipal Central Hospital, Hangzhou, China.
Hongjuan ZhengDepartment of Medical Oncology, Jinhua Municipal Central Hospital, Hangzhou, China.
Qinghua WangDepartment of Medical Oncology, Jinhua Municipal Central Hospital, Hangzhou, China.
Xia ZhangDepartment of Medical Oncology, Jinhua Municipal Central Hospital, Hangzhou, China.
Jianfei FuDepartment of Medical Oncology, Jinhua Municipal Central Hospital, Hangzhou, China.ORCID 0000-0002-3036-1056

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To observe the antitumour efficacy of programmed death 1 (PD-1) inhibitors in the real world and explore the relationship between NRS2002 score or other clinical characteristics and immunotherapy efficacy, we retrospectively analyzed 341 tumor patients who received immune checkpoint inhibitor (ICI) treatment at one center. A total of 341 solid tumor patients treated with ICIs from June 2018 to December 2021 were retrospectively included in this study. Patient characteristics, ICI responses, and survival status were documented, and the relationships between clinical factors and survival were analyzed. Among all patients, the median progression-free survival (PFS) was 5.8 months, and the median overall survival (OS) was 12.5 months. The Performance Status (PS), NRS2002 score, The Naples Prognostic Score (NPS), Lymphocyte and C-reactive protein ratio (LCR), line of therapy, and nutritional support were significantly related to PFS or OS according to univariate analysis. The median PFS and OS were significantly better in the group without nutritional risk (NRS2002 0-2) than those with nutritional risk (NRS2002 ≥ 3) (PFS: HR = 1.82, 95% CI 1.30-2.54,

Indexed as

Immune Checkpoint InhibitorsNeoplasmsAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPrognosisProgression-Free SurvivalRetrospective StudiesImmune Checkpoint Inhibitorscancer nutritionNutritional Risk Screening (NRS) 2002real-world researchTumor immune checkpoint inhibitor therapy

Identifiers

PMID38813753
PMCPMC11141475

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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.