2003
DOI: 10.1177/014107680309600907
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Relation between Severe Illness and Non-Completion of Quality-of-Life Questionnaires by Patients with Rectal Cancer

Abstract: Quality of life (QoL) is an important outcome measure in clinical studies, but interpretation is hindered by incompleteness of data. We addressed this issue in a population-based cohort study of 146 patients with newly diagnosed rectal cancer. QoL was assessed by means of European Organization for the Research and Treatment of Cancer questionnaires at discharge from hospital after primary treatment and then every 3 months for 2 years. In parallel, objective clinical data were documented. Analyses were conducte… Show more

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Cited by 17 publications
(12 citation statements)
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“…Age, high ASA Scores (III/IV) and treatment with palliative intent were identified as risk factors for non-compliance with QoL assessment. These risk factors characterising non-compliant patients were also associated with poor scores for quality of life [10]. Mean scores therefore may imply overestimation of sample QoL, depending on the amount of and reasons for missing values.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Age, high ASA Scores (III/IV) and treatment with palliative intent were identified as risk factors for non-compliance with QoL assessment. These risk factors characterising non-compliant patients were also associated with poor scores for quality of life [10]. Mean scores therefore may imply overestimation of sample QoL, depending on the amount of and reasons for missing values.…”
Section: Discussionmentioning
confidence: 99%
“…Both discrepancies could be due to a selection bias [20 -23]. In a previous analysis of the cohort study results we addressed the problem of missing data [10]. Age, high ASA Scores (III/IV) and treatment with palliative intent were identified as risk factors for non-compliance with QoL assessment.…”
Section: Discussionmentioning
confidence: 99%
“…AUCs could be computed for n = 138 patients and differences in baseline characteristics between these patients and the rest of the cohort were computed using v 2 -tests and t-test, where appropriate [22]. The AUC methodology has been described in various publications [23,24,25] .The AUC score was subjected to multiple regression analyses (performed for the whole sample and the subgroup of lymph node negative patients), entering variables that are clinically plausible predictors of arm morbidity: number of dissected lymph nodes, age, UICC stage, type of operation, and radiation therapy.…”
Section: Discussionmentioning
confidence: 99%
“…The completion rate for pTis was 60/110 = 54.5 %; for pT1a,b 157/290 = 54.1 %; for pT1c 317/655 = 48.4 %; and for pT2 156/290 = 53.8 %. The completion rates of the 4 groups were comparable and confounding effects due to missing forms seemed unlikely [23].…”
Section: Completeness Of Questionnairesmentioning
confidence: 91%