Evidence map›Paper›PMID 42694221›Full record

ArticleFrontiers in oncology2026

Age and CIRS-G for risk stratification in elderly esophageal squamous cell carcinoma patients receiving definitive chemoradiotherapy.

Mingyu Li, Bo Zhang, Jianping Hao, Guoming Song, Ming Zhang, Yunran Hao, Lijun Zhao, Yayuan Wu, Fangming Lu, Qian Zhang

Abstract read
In one paragraph

Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Mingyu Li *Department of Radiation Therapy, The Second Affiliated Hospital of Xingtai Medical College, Xingtai, China.
Bo Zhang *Department of Radiation Therapy, The Second Affiliated Hospital of Xingtai Medical College, Xingtai, China.
Jianping HaoDepartment of Radiation Therapy, The Second Affiliated Hospital of Xingtai Medical College, Xingtai, China.
Guoming SongDepartment of Radiation Therapy, The Second Affiliated Hospital of Xingtai Medical College, Xingtai, China.
Ming ZhangDepartment of Radiation Therapy, The Second Affiliated Hospital of Xingtai Medical College, Xingtai, China.
Yunran HaoDepartment of Radiation Therapy, The Second Affiliated Hospital of Xingtai Medical College, Xingtai, China.
Lijun ZhaoDepartment of Radiation Therapy, The Second Affiliated Hospital of Xingtai Medical College, Xingtai, China.
Yayuan WuDepartment of Radiation Therapy, The Second Affiliated Hospital of Xingtai Medical College, Xingtai, China.
Fangming LuDepartment of Radiation Therapy, The Second Affiliated Hospital of Xingtai Medical College, Xingtai, China.
Qian ZhangDepartment of Radiation Therapy, The Second Affiliated Hospital of Xingtai Medical College, Xingtai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To identify prognostic factors in elderly squamous cell carcinoma (ESCC) patients receiving definitive chemoradiotherapy (dCRT) and construct a prognostic risk stratification model for identifying high-risk subgroups among elderly patients. Methods: ESCC patients aged ≥ge years receiving dCRT were enrolled. Baseline Cumulative Illness Rating Scale-Geriatrics (CIRS-G), Geriatric Nutrition Risk Index (GNRI), Systemic Immune-Inflammation Index (SII), clinical characteristics and adverse events were collected. Cox regression identified independent prognostic factors, with proportional hazards assessed by Schoenfeld residual tests and 95% confidence intervals validated by 1000 bootstrap resamples. Restricted cubic spline (RCS) curves evaluated potential cutoff values. Survival was analyzed by Kaplan-Meier method and compared by log-rank test. Results: 88 patients were enrolled. Multivariate analysis identified age (HR 1.047, 95% CI 1.000-1.095) and CIRS-G (HR 1.179, 95% CI 1.014-1.376) as independent predictors of OS, whereas GNRI (HR 0.964, 95% CI 0.932-0.995) independently predicted PFS. Schoenfeld tests confirmed proportional hazards (all P > 0.05), with bootstrap resampling supporting coefficient stability. Cutoffs were set at 75 years for age, 7 for CIRS-G, and 98 for GNRI. A prognostic score combining age and CIRS-G stratified patients into low-risk (0-1) and high-risk (2) groups, with high-risk patients showing significantly inferior OS. GNRI ≥98 correlated with prolonged PFS versus <98. The high-risk group had higher neutropenia/leukopenia (15.0% vs. 6.3%) and pneumonitis (5.0% vs. 2.1%), with exclusive thrombocytopenia/anemia (2.5% each). Conclusions: A composite risk score (age ≥75 years plus CIRS-G ≥7) identified a high-risk subgroup with poor OS. The optimal therapeutic strategy for this subgroup warrants prospective interventional trials.

Indexed as

CIRS-Gdefinitive chemoradiotherapyelderly patientsesophageal squamous cell carcinomaprognosis

Identifiers

PMID42694221
PMCPMC13537984

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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.