ArticleHealth and quality of life outcomes2015
Construction of quality of life change patterns: example in oncology in a phase III therapeutic trial (FFCD 0307).
Article in Health and quality of life outcomes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.
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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.
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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.
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Who cites it
3 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Reporting of health-related quality of life in randomized controlled trials involving palliative systemic therapy for esophagogastric cancer: a systematic review.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2018Pooled it
- Patient-Reported Physical Function Measures in Cancer Clinical Trials.Epidemiologic reviews · 2017Pooled it
- Correlation between overall survival and quality of life in colon cancer patients with chemotherapy.BMC cancer · 2023Article
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6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
objectiveQuality of life data in cancerology are often difficult to summarize due to missing data and difficulty to analyze the pattern of evolution in different groups of patients. The aim of this work was to apply a new methodology to construct Quality of Life (QoL) change patterns within patients included in a clinical trial comparing to regimen of treatment in locally advanced eosogastric cancer. MATERIALS AND
methodsIn this trial, QoL was assessed every 2 months by self-reported EORTC QLQ-C30 questionnaire. Physical dimension scores were analyzed. After multiple imputation of missing data, 27 statistical measures aiming to describe the variation of QoL measures among follow-up were computed for each patient. Based on these measures, patient were grouped into homogenous groups in terms of QoL variation pattern using a K-Means classification method. The mean QoL score at each time was graphically represented in each obtained pattern. Finally, clinical characteristic of patients in each pattern of QoL were described and compared.
resultsThe trial included 416 patients and 1023 questionnaire were collected. 74% of patients were male with a mean ± SD age of 62 ± 11 years. 43% of scores were missing. Patients were grouped into four classes of homogeneous QoL variation patterns. 1) a Pattern of 24 (6%) patients showing improvement in QoL with a mean variation of +10.7 points on the 0-100 scale, 2) a Pattern of 171 (41 %) patients showing a stability 3) two Patterns of 78 (19%) and 143 (34%) patients respectively showing a deterioration of QoL with a mean variation of -67.2 and -67.6, respectively. There were no difference between patterns in terms of gender or age. Patients within "degradation" pattern had significantly lower performance status (p = 0.015), higher severe after-effects rate (p < 10-3) and death rate (p < 10-3).
conclusionThis work opens up perspectives for longitudinal data analysis with a high probability of missing values while providing a relevant graphical summary. Patterns of QoL evolution with clinical relevance may help to interpret longitudinal QoL data in Cancer studies.
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