Trial reportQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2022
Joint modelling with competing risks of dropout for longitudinal analysis of health-related quality of life in cancer clinical trials.
Trial report in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00861094 (Phase II-III Study Comparing Radiochemotherapy With the FOLFOX Regimen Versus Radiochemotherapy With 5FU-cisplatin), which is not on this map. Cited by 6 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Phase II-III Study Comparing Radiochemotherapy With the FOLFOX Regimen Versus Radiochemotherapy With 5FU-cisplatin (Herskovic Regimen) in First Line Treatment of Patients With Inoperable Oesophageal Cancer.
Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.
- Joint modelling on clinical trials in clinical journals: a systematic review.BMC medical research methodology · 2026Pooled it
- Symptomatic progression-free survival as an emerging patient-centered endpoint in multiple myeloma: a secondary analysis of MagnetsiMM-3 trial data.BMC cancer · 2025Pooled it
- A Framework for the Estimation of Quality-Adjusted Life-Years Using Joint Models of Longitudinal and Survival Data.Medical decision making : an international journal of the Society for Medical Decision Making · 2026Article
- Analysis of Cohort Stepped Wedge Cluster-Randomized Trials With Nonignorable Dropout via Joint Modeling.Statistics in medicine · 2025Article
- Article
- Using a Bayesian model of the joint distribution of pain and time on medication to decide on pain medication for neuropathy.Communications in statistics. Case studies, data analysis and applications · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 1 country.
Funding
Abstract
purposeHealth-related quality of life (HRQoL) is an important endpoint in cancer clinical trials. Analysis of HRQoL longitudinal data is plagued by missing data, notably due to dropout. Joint models are increasingly receiving attention for modelling longitudinal outcomes and the time-to-dropout. However, dropout can be informative or non-informative depending on the cause.
methodsWe propose using a joint model that includes a competing risks sub-model for the cause-specific time-to-dropout. We compared a competing risks joint model (CR JM) that distinguishes between two causes of dropout with a standard joint model (SJM) that treats all the dropouts equally. First, we applied the CR JM and SJM to data from 267 patients with advanced oesophageal cancer from the randomized clinical trial PRODIGE 5/ACCORD 17 to analyse HRQoL data in the presence of dropouts unrelated and related to a clinical event. Then, we compared the models using a simulation study.
resultsWe showed that the CR JM performed as well as the SJM in situations where the risk of dropout was the same whatever the cause. In the presence of both informative and non-informative dropouts, only the SJM estimations were biased, impacting the HRQoL estimated parameters.
conclusionThe systematic collection of the reasons for dropout in clinical trials would facilitate the use of CR JMs, which could be a satisfactory approach to analysing HRQoL data in presence of both informative and non-informative dropout.
trial registrationThis study is registered with ClinicalTrials.gov, number NCT00861094.
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Registered trials
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.