Growth trajectories and risk of underweight and overweight in childhood cancer patients and survivors: a longitudinal multicentre cohort study protocol
Year: 2026
Type: preprint
Study design: Study Protocol
Abstract: ABSTRACT Background Underweight, overweight, and linear growth during and after cancer treatment can impact treatment efficacy and survival in childhood cancer patients, and long-term health in childhood cancer survivors (CCS). However, scientific evidence on the weight status and growth of CCS is limited. Previous studies have been small, focused on specific cancer types, or lacked objectively measured longitudinal data. The availability of standardized, semantically interoperable routine data from oncology clinics offers an unprecedented opportunity to investigate nutritional status across all childhood cancer types, treatment regimens, and critical time windows. Objectives We will investigate underweight, overweight, and growth trajectories from birth to adulthood in childhood cancer patients and survivors. We will identify predictors associated with distinct growth and weight trajectories and assess the consistency of findings across European countries. Methods The Growth study will collect routinely recorded sociodemographic, clinical, and anthropometric data from paediatric and adolescent cancer patients (aged <20 years) from Switzerland, Portugal and Slovenia, We will include patients diagnosed between 2004-2026, by linking data from the Swiss Childhood Cancer Registry (ChCR), the Swiss Childhood Cancer Survivor Study (SCCSS), the Swiss Federal Statistical Office (FSO), and oncology clinics in Switzerland. Deterministic linkage of data sources (ChCR, SCCSS, oncology clinics, and FSO) will be performed using social security numbers. We will calculate age- and sex-specific z-scores for weight, height, and BMI based on country-specific and World Health Organization growth references. Latent trajectory modelling will be applied to identify distinct growth and weight trajectories and to detect subgroups at increased risk of growth impairment. We will use logistic regression models to identify predictors of impaired growth. Results The project was funded in 2025; first study results are expected to be published by autumn 2027. We will obtain routinely collected data from approximately 12,250 childhood cancer patients and survivors - 7,800 from Switzerland, 3,350 from Portugal, and 1,100 from Slovenia. Conclusions The Growth study will provide insights into the nutritional status of childhood cancer patients and survivors and improve understanding of growth patterns in this population. Identifying high-risk groups and tumour- or treatment-related factors will inform targeted surveillance strategies and early nutritional interventions.
Source: medRxiv
Authors: Alice Sofia Calvello, Luigi Annicchiarico, Yara Shoman, Lorenz Manuel Leuenberger, Maria José Bento, Julia Bielicki, Claudia Boettcher, Pierluigi Brazzola, Paula Breia, Gabriela Caldas, Beatrice Drexler, Daniel Drozdov, Manuel Diezi, Janez Jazbec, Markus Joerger, Daniel Konrad, Claudia E. Kuehni, António Lourenço, Christoph Saner, Katrin Scheinemann, Freimut Schilling, Milica Stefanović, Tiago Taveira Gomes, André O. von Bueren, Nicolas Waespe, Andreas Wicki, Christina Schindera, Fabiën N. Belle
Institutions: University of Bern, Institute of Social and Preventive Medicine, IPO Porto, Centro de Investigação do Instituto Português de Oncologia do Porto Francisco Gentil, St George's, University of London, University Children’s Hospital Basel, University Hospital of Bern, Instituto Português de Oncologia Francisco Gentil, University Hospital of Basel, Kantonsspital Aarau, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Ljubljana University Medical Centre, Kantonsspital St. Gallen, University of Zurich, University Children's Hospital Zurich, Royal Children's Hospital, University Children’s Hospital Bern, Murdoch Children's Research Institute, University of Lucerne, Ostschweizer Kinderspital, Universidade do Porto, University of Geneva, University Hospital of Geneva, University Hospital Zurich, University of Basel
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7216582425