Evidence map›Paper›PMID 38689167›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2024

Multidisciplinary analysis of cancer-related fatigue at the time of diagnosis: preliminary results of the BIOCARE FActory cohort.

A Leclercq, A Chatrenet, H Bourgeois, O Cojocarasu, C Mathie, T Martin, A Rahmani, B Morel

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04391543 (BIOpsychosocial Approach of the CAncer-RElated FAtigue), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT04391543 naunknown statusnot on this map

BIOpsychosocial Approach of the CAncer-RElated FAtigue

TypeinterventionalSponsorLe Mans UniversiteRan2021 to 2025Enrolled86ConditionsBreast CancerArmsExperimental session
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

8 authors.

A LeclercqLaboratoire Movement, Interactions, Performance, MIP-UR 4334, Le Mans Université Avenue Olivier Messiaen, 72085, Le Mans Cedex 9, France. alicialeclercqmip@gmail.com.
A ChatrenetLaboratoire Movement, Interactions, Performance, MIP-UR 4334, Le Mans Université Avenue Olivier Messiaen, 72085, Le Mans Cedex 9, France.
H BourgeoisElsan-Clinique Victor Hugo, Centre Jean Bernard, Le Mans, France.
O CojocarasuCentre Hospitalier Le Mans (CHM), Le Mans, France.
C MathieCentre Hospitalier Le Mans (CHM), Le Mans, France.
T MartinLaboratoire Movement, Interactions, Performance, MIP-UR 4334, Le Mans Université Avenue Olivier Messiaen, 72085, Le Mans Cedex 9, France.
A Rahmani *Laboratoire Movement, Interactions, Performance, MIP-UR 4334, Le Mans Université Avenue Olivier Messiaen, 72085, Le Mans Cedex 9, France.
B Morel *Laboratoire Interuniversitaire de Biologie de La Motricité, Université Savoie Mont Blanc, EA 7424, F-73000, Chambéry, France.

Funding

Région Pays de la Loire 2018-12154
6 · The paper itself

Abstract

purposeCancer-related fatigue (CRF) is a common side effect of cancer and cancer treatment that significantly impairs the quality of life and can persist for years after treatment completion. Although fatigue is often associated with cancer treatment, it is also a result of the disease itself, even before intervention. CRF at the time of diagnosis may affect treatment timing or completion and is a consistent predictor of post-treatment fatigue at any time. The mechanisms underlying CRF are multidimensional and not well understood, particularly at the time of diagnosis.

methodsSixty-five breast cancer patients at the time of diagnosis were included. The participants completed self-assessment questionnaires about CRF, sleep disturbances, and emotional symptoms and wore an accelerometer to assess levels of spontaneous physical activity and sleep quality. During the experimental session, the participants underwent cognitive, neuromuscular, and exercise metabolism evaluations.

resultsUsing augmented backward elimination regression, this study found that emotional symptoms and perceived sleep disturbances were the strongest predictors of CRF (adjusted r

conclusionAt the time of diagnosis, emotional and cognitive dimensions are over-represented compared to the general population, and specific subdimensions have specific predictors that support the idea of distinct mechanisms. Evaluating CRF subdimensions and their potential mechanisms at the time of diagnosis would be particularly relevant for identifying high-risk patients and offering them appropriate interventions.

trial registrationThis study was registered at ClinicalTrials.gov (NCT04391543) in May, 2020.

Indexed as

Breast NeoplasmsFatigueSleep Wake DisordersAdultAgedCohort StudiesExerciseFemaleHumansMiddle AgedQuality of LifeSleep QualitySurveys and QuestionnairesBreast cancerCancer-related fatigueCognitive fatigueEmotional fatiguePhysical fatigue

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.