| Title: |
Prognostic models for radiation-induced complications after radiotherapy in head and neck cancer patients |
| Authors: |
Takada, Toshihiko; Tambas,Makbule; Clementel,Enrico; Leeuwenberg, Artuur; Sharabiani,Marjan; Damen, Johanna Aag; Dunias, Zoë S; Nauta,Jan F; Idema, Demy L; Choi, Jungyeon; Meijerink, Lotta M; Langendijk,Johannes A; Moons, Karel Gm; Schuit, Ewoud; HAG Trombose; Epi Methoden Team 1; Cancer; Epi Methoden Team 5; Team 5a; RWE - Stats & Programmers; Epi Methoden; JC onderzoeksprogramma Methodology |
| Publication Year: |
2025 |
| Subject Terms: |
Humans; Head and Neck Neoplasms/radiotherapy; Radiation Injuries/epidemiology; Prognosis; Randomized Controlled Trials as Topic; Xerostomia/etiology; Models; Statistical; Radiotherapy/adverse effects; Taverne; Pharmacology (medical); Journal Article; Meta-Analysis; Review |
| Description: |
BACKGROUND: Radiotherapy is the mainstay of treatment for head and neck cancer (HNC) but may induce various side effects on surrounding normal tissues. To reach an optimal balance between tumour control and toxicity prevention, normal tissue complication probability (NTCP) models have been reported to predict the risk of radiation-induced side effects in patients with HNC. However, the quality of study design, conduct, and analysis (i.e. risk of bias (ROB)), as well as the predictive performance of these models, remains to be evaluated. OBJECTIVES: To identify, describe and appraise NTCP models to predict the risk of radiation-induced side effects in patients with HNC. SEARCH METHODS: We searched Ovid MEDLINE, Embase and the World Health Organization International Clinical Trials Registry Platform from conception to January 2024. In addition, we screened references cited in the retrieved articles. SELECTION CRITERIA: Two review authors independently included articles reporting on the development and external validation of NTCP models to predict any type of radiation-induced side effects in patients with HNC. DATA COLLECTION AND ANALYSIS: One reviewer extracted data from each article based on the Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies and assessed their applicability and ROB using the Prediction model ROB Assessment Tool, while another reviewer carefully verified the results. For models externally validated at least twice for the same outcome as their original developmental study, we performed qualitative analyses of the model performance. The GRADE system was not applied, since it has not been established for reviews of prognostic model studies. MAIN RESULTS: Amongst 592 models developed from 143 articles, including 140,767 HNC patients, only 49 (8%) models from six articles were judged to have low ROB and low concerns for applicability. No external validation was performed for 480 models (81%). For the remaining 112 models and six additional ... |
| Document Type: |
article in journal/newspaper |
| File Description: |
text/plain |
| Language: |
English |
| ISSN: |
1465-1858 |
| Relation: |
https://dspace.library.uu.nl/handle/1874/442913 |
| Availability: |
https://dspace.library.uu.nl/handle/1874/442913 |
| Rights: |
info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.E903595D |
| Database: |
BASE |