We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Optimizing Survival Predictions of Hypopharynx Cancer: Development of a Clinical Prediction Model.
- Authors
Arends, Coralie R.; Petersen, Japke F.; Noort, Vincent; Timmermans, Adriana J.; Leemans, C. René; Bree, Remco; Brekel, Michiel W.M.; Stuiver, Martijn M.; van der Noort, Vincent; de Bree, Remco; van den Brekel, Michiel W M
- Abstract
<bold>Objectives: </bold>To develop and validate a clinical prediction model (CPM) for survival in hypopharynx cancer, thereby aiming to improve individualized estimations of survival.<bold>Methods: </bold>Retrospective 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.<bold>Results: </bold>The 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.<bold>Conclusions: </bold>ACE27, 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.<bold>Level Of Evidence: </bold>4 Laryngoscope, 130:2166-2172, 2020.
- Subjects
HYPOPHARYNGEAL cancer; FORECASTING; PREDICTION models; PROPORTIONAL hazards models; BODY mass index; HEMOGLOBINS; CALIBRATION; PROGNOSIS; RETROSPECTIVE studies; RISK assessment; SERUM albumin; TUMOR classification; STANDARDS
- Publication
Laryngoscope, 2020, Vol 130, Issue 9, p2166
- ISSN
0023-852X
- Publication type
journal article
- DOI
10.1002/lary.28345