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What is an estimand & how does it relate to quantifying the effect of treatment on patient-reported quality of life outcomes in clinical trials?

ABSTRACT: BACKGROUND:Published in 2019, a new addendum to the ICH E9 guideline presents the estimand framework as a systematic approach to ensure alignment among clinical trial objectives, trial execution/conduct, statistical analyses, and interpretation of results. The use of the estimand framework for describing clinical trial objectives has yet to be extensively considered in the context of patient-reported outcomes (PROs). We discuss the application of the estimand framework to PRO objectives when designing clinical trials in the future, with a focus on PRO outcomes in oncology trial settings as our example. MAIN: We describe the components of an estimand and take a naïve PRO trial objective to illustrate how to apply attributes described in the estimand framework to inform construction of a detailed clinical trial objective and its related estimand. We discuss identifying potential post-randomization events that alter the interpretation of the endpoint or render its observation impossible (also defined as intercurrent events) in the context of PRO endpoints, and the implications of how to handle intercurrent events in the construction of the PRO objective. Using a simple objective statement, "What is the effect of treatment X on patient's quality of life?", we build up an example estimand statement and also use a previously published phase III oncology clinical trial to illustrate how an estimand for a PRO objective could have been written to align to the estimate framework. CONCLUSION:The use of the estimand framework, as described in the new ICH E9 (R1) addendum guideline will become a key common framework for developing clinical trial objectives for evaluating effects of treatment. In the context of considering PROs, the framework provides an opportunity to more precisely specify and build the rationale for patient-focused objectives. This will help to ensure that clinical trials used for registration are designed and analysed appropriately, enabling all stakeholders to accurately interpret conclusions about the treatment effects for patient-focused outcomes.

SUBMITTER: Lawrance R

PROVIDER: S-EPMC7445213 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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What is an estimand & how does it relate to quantifying the effect of treatment on patient-reported quality of life outcomes in clinical trials?

Lawrance Rachael R Degtyarev Evgeny E Griffiths Philip P Trask Peter P Lau Helen H D'Alessio Denise D Griebsch Ingolf I Wallenstein Gudrun G Cocks Kim K Rufibach Kaspar K

Journal of patient-reported outcomes 20200824 1

<h4>Background</h4>Published in 2019, a new addendum to the ICH E9 guideline presents the estimand framework as a systematic approach to ensure alignment among clinical trial objectives, trial execution/conduct, statistical analyses, and interpretation of results. The use of the estimand framework for describing clinical trial objectives has yet to be extensively considered in the context of patient-reported outcomes (PROs). We discuss the application of the estimand framework to PRO objectives ...[more]

PMID: 32833083

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Project description:Although there are discussions regarding standards of the analysis of patient-reported outcomes and quality of life (QOL) in oncology clinical trials, that of QOL with death events is not within their scope. For example, ignoring death can lead to bias in the QOL analysis for patients with moderate or high mortality rates in the palliative care setting. This is discussed in the estimand framework but is controversial. Information loss by summary measures under the estimand framework may make it challenging for clinicians to interpret the QOL analysis results. This study illustrated the use of graphical displays in the framework. They can be helpful for discussions between clinicians and statisticians and decision-making by stakeholders. We reviewed the time-to-deterioration analysis, prioritized composite outcome approach, semi-competing risk analysis, survivor analysis, linear mixed model for repeated measures, and principal stratification approach. We summarized attributes of estimands and graphs in the statistical analysis and evaluated them in various hypothetical randomized controlled trials. Graphs for each analysis method provide different information and impressions. In the time-to-deterioration analysis, it was not easy to interpret the difference in the curves as an effect on QOL. The prioritized composite outcome approach provided new insights for QOL considering death by defining better conditions based on the distinction of OS and QOL. The semi-competing risk analysis provided different insights compared with the time-to-deterioration analysis and prioritized composite outcome approach. Due to the missing assumption, graphs by the linear mixed model for repeated measures should be carefully interpreted, even for descriptive purposes. The principal stratification approach provided pure comparison, but the interpretation was difficult because the target population was unknown. Graphical displays can capture different aspects of treatment effects that should be described in the estimand framework.

Project description:BackgroundLittle is known about health-related quality of life (HRQOL) following treatment for bladder cancer (BC).ObjectiveTo determine this, we undertook a cross-sectional survey covering 10% of the English population.Design, setting, and participantsParticipants 1-10 yr from diagnosis were identified through national cancer registration data.InterventionA postal survey was administered containing generic HRQOL and BC-specific outcome measures. Findings were compared with those of the general population and other pelvic cancer patients.Outcome measurements and statistical analysisGeneric HRQOL was measured using five-level EQ-5D (EQ-5D-5L) and European Organization for Research and Treatment of Cancer quality of life questionnaire (EORTC QLQ)-C30. BC-specific outcomes were derived from EORTC QLQ-BLM30 and EORTC QLQ-NMIBC24.Results and limitationsA total of 1796 surveys were completed (response rate 55%), including 868 (48%) patients with non-muscle-invasive BC, 893 (50%) patients who received radiotherapy or radical cystectomy, and 35 (1.9%) patients for whom treatment was unknown. Most (69%) of the participants reported at least one problem in any EQ-5D dimension. Age/sex-adjusted generic HRQOL outcomes were similar across all stages and treatment groups, whilst problems increased with age (problems in one or more EQ-5D dimensions: <65 yr [67% {95% confidence interval or CI: 61-74}] vs 85+ yr [84% {95% CI: 81-89}], p = 0.016) and long-term conditions (no conditions [53% {95% CI: 48-58}] vs more than four conditions [94% {95% CI: 90-97}], p < 0.001). Sexual problems were reported commonly in men, increasing with younger age and radical treatment. Younger participants (under 65 yr) reported more financial difficulties (mean score 20 [95% CI: 16-25]) than those aged 85+ yr (6.8 [4.5-9.2], p < 0.001). HRQOL for BC patients (for comparison, males with problems in one or more EQ-5D dimensions 69% [95% CI: 66-72]) was significantly worse than what has been found after colorectal and prostate cancers and in the general population (51% [95% CI: 48-53], all p < 0.05).ConclusionsHRQOL following BC appears to be relatively independent of disease stage, treatment, and multimodal care. Issues are reported with sexual function and financial toxicity. HRQOL after BC is worse than that after other pelvic cancers.Patient summaryPatients living with bladder cancer often have reduced quality of life, which may be worse than that for other common pelvic cancer patients. Age and other illnesses appear to be more important in determining this quality of life than the treatments received. Many men complain of sexual problems. Younger patients have financial worries.

Project description:BACKGROUND:In the Phase III INPULSIS® trials, treatment of patients with idiopathic pulmonary fibrosis (IPF) with nintedanib significantly reduced the annual rate of decline in forced vital capacity (FVC) versus placebo, consistent with slowing disease progression. However, nintedanib was not associated with a benefit in health-related quality of life (HRQoL) assessed using the St George's respiratory questionnaire (SGRQ). We aimed to further examine the impact of IPF progression on HRQoL and symptoms, and to explore the effect of nintedanib on HRQoL in patients from the INPULSIS® trials stratified by clinical factors associated with disease progression. METHODS:Patient-reported outcome (PRO) data from the INPULSIS® trials were included in three post hoc analyses. Two analyses used the pooled data set to examine PRO changes from baseline to week 52 according to 1) decline in FVC and 2) occurrence of acute exacerbations. In the third analysis, patients were stratified based on clinical indicators of disease progression (gender, age and physiology [GAP] stage; FVC % predicted; diffusing capacity of the lung for carbon monoxide [DLCO] % predicted; composite physiologic index [CPI]; and SGRQ total score) at baseline; median change from baseline was measured at 52?weeks and treatment groups were compared using the Wilcoxon two-sample test. RESULTS:Data from 1061 patients (638 nintedanib, 423 placebo) were analyzed. Greater categorical decline from baseline in FVC % predicted over 52?weeks was associated with significant worsening of HRQoL and symptoms across all PRO measures. Acute exacerbations were associated with deterioration in HRQoL and worsened symptoms. In general, patients with advanced disease at baseline (defined as GAP II/III, FVC???80%, DLCO ??40%, CPI?>? 45, or SGRQ >?40) experienced greater deterioration in PROs than patients with less-advanced disease. Among patients with advanced disease, compared with placebo, nintedanib slowed deterioration in several PROs; benefit was most apparent on the SGRQ (total and activity scores). CONCLUSIONS:In patients with advanced IPF, compared with placebo, nintedanib slowed deterioration in HRQoL and symptoms as assessed by several PROs. HRQoL measures have a higher responsiveness to change in advanced disease and may lack sensitivity to capture change in patients with less-advanced IPF.

Project description:BackgroundLymphoma treatment can lead to long-term consequences such as fatigue, infertility and organ damage. In clinical trials, survival outcomes, clinical response and toxicity are extensively reported while the assessment of treatment on quality of life (QoL) and symptoms is often lacking.ObjectiveWe evaluated the use and frequency of patient-reported outcome (PRO) instruments used in randomized controlled trials (RCTs) for Hodgkin lymphoma (HL) and their consistency of reporting.MethodsMEDLINE, CENTRAL and trial registries for RCTs investigating HL were systematically searched from 01/01/2016 to 31/05/2022. Following trial selection, trial, patient characteristics and outcome data on the use of PRO measures (PROMs) and reporting of PROs using a pre-defined extraction form were extracted. To assess reporting consistency, trial registries, protocols and publications were compared.ResultsWe identified 4,222 records. Following screening, a total of 317 reports were eligible for full-text evaluation. One hundred sixty-six reports of 51 ongoing/completed trials were included, of which 41% of trials were completed and 49% were ongoing based on registry entries. Full-text or abstract were available for 33 trials. Seventy percent of trials were conducted in the newly diagnosed disease setting, the majority with advanced HL. In 32 trials with published follow-up data, the median follow-up was 5.2 years. Eighteen (35%) completed/ongoing trials had mentioned PRO assessment in registry entries, protocol or publications. Twelve trials (67%) had published results and only 6 trials (50%) reported on PROs in part with the exception of 1 trial where PROs were evaluated as secondary/exploratory outcome. The most referenced global PROM was the EORTC-QLQ-C30 (12 studies), the EQ-5D (3 studies) and the FACT-Neurotoxicity (3 studies). FACT-Lymphoma, a disease-specific PROM for non-HL was mentioned in one ongoing trial. None of the trials referenced the EORTC QLQ-HL27, another disease-specific PROM developed specifically for HL patient's QoL assessment.DiscussionsOnly one-third of RCTs in HL report PROs as an outcome and only half present the outcome in subsequent publications, showcasing the underreporting of PROs in trials. Disease-specific PROMs are underutilized in the assessment of QoL in HL patients. Guidance on the assessment of PROs is needed to inform on comprehensive outcomes important to patients.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=391552, identifier CRD42023391552.

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What is an estimand & how does it relate to quantifying the effect of treatment on patient-reported quality of life outcomes in clinical trials?

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What is an estimand & how does it relate to quantifying the effect of treatment on patient-reported quality of life outcomes in clinical trials?

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