Evidence map›Paper›PMID 24606836›Full record

Trial reportHealth and quality of life outcomes2014

Item response theory and factor analysis as a mean to characterize occurrence of response shift in a longitudinal quality of life study in breast cancer patients.

Amélie Anota, Caroline Bascoul-Mollevi, Thierry Conroy, Francis Guillemin, Michel Velten, Damien Jolly, Mariette Mercier, Sylvain Causeret, Jean Cuisenier, Olivier Graesslin and 2 more

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Health and quality of life outcomes, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
–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

11 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Response shift results of quantitative research using patient-reported outcome measures: a descriptive systematic review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Pooled it
  2. Pooled it
  3. Pooled it
  4. EORTC QLQ-C30 symptom components and their functional correlates during adjuvant chemotherapy for early breast cancer: a multivariate analysis. Data from GEICAM/2003-02 study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Trial
  5. Article
  6. How peoples' ratings of dental implant treatment change over time?Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2020
    Article
  7. Determining clinically important differences in health-related quality of life in older patients with cancer undergoing chemotherapy or surgery.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019
    Article
  8. Scoping review of response shift methods: current reporting practices and recommendations.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2018
    Article
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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.

Amélie AnotaQuality of Life in Oncology Platform, Besançon, France. aanota@chu-besancon.fr.
Caroline Bascoul-Mollevi
Thierry Conroy
Francis Guillemin
Michel Velten
Damien Jolly
Mariette Mercier
Sylvain Causeret
Jean Cuisenier
Olivier Graesslin
Zeinab Hamidou
Franck Bonnetain

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe occurrence of response shift (RS) in longitudinal health-related quality of life (HRQoL) studies, reflecting patient adaptation to disease, has already been demonstrated. Several methods have been developed to detect the three different types of response shift (RS), i.e. recalibration RS, 2) reprioritization RS, and 3) reconceptualization RS. We investigated two complementary methods that characterize the occurrence of RS: factor analysis, comprising Principal Component Analysis (PCA) and Multiple Correspondence Analysis (MCA), and a method of Item Response Theory (IRT).

methodsBreast cancer patients (n = 381) completed the EORTC QLQ-C30 and EORTC QLQ-BR23 questionnaires at baseline, immediately following surgery, and three and six months after surgery, according to the "then-test/post-test" design. Recalibration was explored using MCA and a model of IRT, called the Linear Logistic Model with Relaxed Assumptions (LLRA) using the then-test method. Principal Component Analysis (PCA) was used to explore reconceptualization and reprioritization.

resultsMCA highlighted the main profiles of recalibration: patients with high HRQoL level report a slightly worse HRQoL level retrospectively and vice versa. The LLRA model indicated a downward or upward recalibration for each dimension. At six months, the recalibration effect was statistically significant for 11/22 dimensions of the QLQ-C30 and BR23 according to the LLRA model (p ≤ 0.001). Regarding the QLQ-C30, PCA indicated a reprioritization of symptom scales and reconceptualization via an increased correlation between functional scales.

conclusionsOur findings demonstrate the usefulness of these analyses in characterizing the occurrence of RS. MCA and IRT model had convergent results with then-test method to characterize recalibration component of RS. PCA is an indirect method in investigating the reprioritization and reconceptualization components of RS.

Indexed as

Attitude to HealthBreast NeoplasmsFactor Analysis, StatisticalFemaleHumansLongitudinal StudiesMastectomyMiddle AgedPrincipal Component AnalysisPsychometricsQuality of LifeSurveys and Questionnaires

Identifiers

PMID24606836
PMCPMC4016038

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.