Evidence map›Paper›PMID 28699090›Full record

ArticleInternational journal of behavioral medicine2018

Physical Behavior Profiles in Chronic Cancer-Related Fatigue.

M D J Wolvers, J B J Bussmann, F Z Bruggeman-Everts, S T Boerema, R van de Schoot, M M R Vollenbroek-Hutten

Registry-linked trialAbstract read
In one paragraph

Article in International journal of behavioral medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04502654 (Postoperative Functional Recovery After Fast-track VATS Lobectomy), which is not on this map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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.

NCT04502654 completednot on this mapstarted 2020, after this paper: background citation

Postoperative Functional Recovery After Fast-track VATS Lobectomy

TypeobservationalSponsorRigshospitalet, DenmarkRan2020 to 2021Enrolled32ConditionsLung Neoplasms, Rehabilitation, Exercise, Pain, PostoperativeArmsActiwatch 2 (Philips Respironics, Murrysville, USA)
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

6 authors.

M D J WolversTelemedicine Group, Roessingh Research and Development, Enschede, the Netherlands. m.d.wolvers@utwente.nl.ORCID 0000-0001-5833-9232
J B J BussmannDepartment of Rehabilitation Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
F Z Bruggeman-EvertsTelemedicine Group, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, the Netherlands.
S T BoeremaTelemedicine Group, Roessingh Research and Development, Enschede, the Netherlands.
R van de SchootDepartment of Methods and Statistics, Utrecht University, Utrecht, the Netherlands.
M M R Vollenbroek-HuttenTelemedicine Group, Roessingh Research and Development, Enschede, the Netherlands.

Funding

Alpe d'HuZes/KWF HDI 2011-5264Nederlandse Organisatie voor Wetenschappelijk Onderzoek NWO-VIDI-452-14-006
6 · The paper itself

Abstract

purposeIncreasing physical activity level is a generally effective intervention goal for patients who suffer from chronic cancer-related fatigue (CCRF). However, patients are unlikely to benefit equally from these interventions, as their behavioral starting points might vary substantially. Therefore, we explored patterns of physical behavior of participants who suffer from CCRF.

methodsBaseline data of a randomized controlled trial were used for a latent profile analysis on nine accelerometer-derived physical behavior measures, describing levels and patterns of physical activity, moderate-to-vigorous intensity physical activity (MVPA), and sedentary behavior. The relation between participant characteristics and the latent profiles was analyzed.

resultsAccelerometer data of 172 participants from the Netherlands was analyzed. Three latent profiles were distinguished that differed most on physical activity level and total time spent in MVPA. Eighty-eight percent of all participants were assigned to a profile with a probability higher than 8. Age and perceiving limitations by comorbid conditions and pain were significant covariates of profile membership.

conclusionsWe distinguished three physical behavior profiles. The differences between the patterns indicate that the heterogeneity of this sample requires patients to have substantially different treatment goals. Further research should test the applicability of these profiles in clinical practice.

Indexed as

Sedentary BehaviorAdultAgedCancer SurvivorsExerciseFatigueFemaleHumansMaleMiddle AgedNeoplasmsNetherlandsAccelerometryCancerFatigueLatent profiles analysisOncologyPhysical behavior

Identifiers

PMID28699090
PMCPMC5803288

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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.