Evidence map›Paper›PMID 31628043›Full record

Trial reportClinical colorectal cancer2019

Health-related Quality of Life in the Phase III LUME-Colon 1 Study: Comparison and Interpretation of Results From EORTC QLQ-C30 Analyses.

Heinz-Josef Lenz, Guillem Argiles, Takayuki Yoshino, Sara Lonardi, Alfredo Falcone, María Luisa Limón, Alberto Sobrero, Claudia Hastedt, Barbara Peil, Florian Voss and 2 more

Abstract readClinical Trial, Phase IIIMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Clinical colorectal cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. How scoring limits the usability of minimal important differences (MIDs) as responder definition (RD): an exemplary demonstration using EORTC QLQ-C30 subscales.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Heinz-Josef LenzDivision of Medical Oncology, USC Norris Comprehensive Cancer Center, Los Angeles, CA. Electronic address: lenz@usc.edu.
Guillem ArgilesMedical Oncology Department, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Universitat Autònoma de Barcelona, Barcelona, Spain.
Takayuki YoshinoDepartment of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, Chiba, Japan.
Sara LonardiPhase 1 Trial Unit and Medical Oncology Unit 1, Istituto Oncologico Veneto IRCCS, Padova, Italy.
Alfredo FalconeDepartment of Oncology, University of Pisa, Pisa, Italy.
María Luisa LimónMedical Oncology Department, Hospital Universitario Virgen del Rocio, Sevilla, Spain.
Alberto SobreroMedical Oncology 1, Ospedale Policlinico San Martino IRCCS, Genova, Italy.
Claudia HastedtTA CNS Retinopathies Emerging Areas, Boehringer Ingelheim International GmbH, Ingelheim, Germany.
Barbara PeilBiostatistics and Data Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Ingelheim, Germany.
Florian VossBiostatistics and Data Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Ingelheim, Germany.
Ingolf GriebschTA Oncology, Boehringer Ingelheim International GmbH, Ingelheim, Germany.
Eric Van CutsemDigestive Oncology, University Hospitals Leuven and KULeuven, Leuven, Belgium.

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MYLES G COCKBURN · 1985 to 2026
$181.4M
NCI NIH HHS P30 CA014089
6 · The paper itself

Abstract

introductionWe used European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30) data from the LUME-Colon 1 study to illustrate different methods of statistical analysis for health-related quality of life (HRQoL), and compared the results. PATIENTS AND

methodsPatients were randomized 1:1 to receive nintedanib 200 mg twice daily plus best supportive care (n = 386) or matched placebo plus best supportive care (n = 382). Five methods (mean treatment difference averaged over time, using a mixed-effects growth curve model; mixed-effects models for repeated measurements (MMRM); time-to-deterioration (TTD); status change; and responder analysis) were used to analyze EORTC QLQ-C30 global health status (GHS)/QoL and scores from functional scales.

resultsOverall, GHS/QoL and physical functioning deteriorated over time. Mean treatment difference slightly favored nintedanib over placebo for physical functioning (adjusted mean, 2.66; 95% confidence interval [CI], 0.97-4.34) and social functioning (adjusted mean, 2.62; 95% CI, 0.66-4.47). GHS/QoL was numerically better with nintedanib versus placebo (adjusted mean, 1.61; 95% CI, -0.004 to 3.27). MMRM analysis had similar results, with better physical functioning in the nintedanib group at all timepoints. There was no significant delay in GHS/QoL deterioration (10%) and physical functioning (16%) with nintedanib versus placebo (TTD analysis). Status change analysis showed a higher proportion of patients with markedly improved GHS/QoL and physical functioning in the nintedanib versus placebo groups. Responder analysis showed a similar, less pronounced pattern.

conclusionAnalyses of EORTC QLQ-C30 data showed that HRQoL was not impaired by treatment with nintedanib versus placebo. Analysis and interpretation of HRQoL endpoints should consider symptom type and severity and course of disease.

Indexed as

Quality of LifeSickness Impact ProfileAntineoplastic AgentsColonic NeoplasmsFollow-Up StudiesHumansIndolesPrognosisSurveys and QuestionnairesSurvival RateAntineoplastic AgentsIndolesnintedanibHRQoLMMRMNintedanibQoLTime to deterioration

Identifiers

PMID31628043
PMCPMC7505163

What OpenQuestion holds

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Registered trials

None linked

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.