ArticleThe Laryngoscope2020
Optimizing Survival Predictions of Hypopharynx Cancer: Development of a Clinical Prediction Model.
Article in The Laryngoscope, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Development and validation of a nomogram to predict cancer-specific survival in patients with hypopharyngeal squamous cell carcinoma treated with primary surgery.The Journal of international medical research · 2021Trial
- Survival and data-driven phenotypes in head and neck cancer.Scientific reports · 2025Article
- Prognostic Factors and Long-Term Outcome Prediction in Patients with Hypopharyngeal Carcinoma Treated with (Chemo)radiotherapy: Development of a Prognostic Model.Biomedicines · 2025Article
- Comprehensive prognostic modeling of locoregional recurrence after radiotherapy for patients with locoregionally advanced hypopharyngeal squamous cell carcinoma.Frontiers in oncology · 2023Article
- Quality of life and tracheostomy influence in successfully treated hypopharyngeal cancer: A case report.Experimental and therapeutic medicine · 2022Article
- In-Hospital and Long-Term Outcomes in Patients with Head and Neck Cancer Bleeding.Medicina (Kaunas, Lithuania) · 2022Article
- The Biological Function, Mechanism, and Clinical Significance of m6A RNA Modifications in Head and Neck Carcinoma: A Systematic Review.Frontiers in cell and developmental biology · 2021Review
- Dynamic prediction of cancer-specific survival for primary hypopharyngeal squamous cell carcinoma.International journal of clinical oncology · 2020Article
- YTHDF1-enhanced iron metabolism depends on TFRC mTheranostics · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo develop and validate a clinical prediction model (CPM) for survival in hypopharynx cancer, thereby aiming to improve individualized estimations of survival.
methodsRetrospective cohort study of hypopharynx cancer patients. We randomly split the cohort into a derivation and validation dataset. The model was fitted on the derivation dataset and validated on the validation dataset. We used a Cox's proportional hazard model and least absolute shrinkage and selection operator (LASSO) selection. Performance (discrimination and calibration) of the CPM was tested.
resultsThe final model consisted of gender, subsite, TNM classification, Adult Comorbidity Evaluation-27 score (ACE27), body mass index (BMI), hemoglobin, albumin, and leukocyte count. Of these, TNM classification, ACE27, BMI, hemoglobin, and albumin had independent significant associations with survival. The C Statistic was 0.62 after validation. The model could significantly identify clinical risk groups.
conclusionsACE27, BMI, hemoglobin, and albumin are independent predictors of overall survival. The identification of high-risk patients can be used in the counseling process and tailoring of treatment strategy or follow-up. LEVEL OF EVIDENCE: 4 Laryngoscope, 130:2166-2172, 2020.
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