Evidence map›Paper›PMID 39807275›Full record

ArticleMDM policy & practice

Working toward Personalized Intervention Advice: A Survey Study on Preference Heterogeneity in Patients with Breast Cancer-Related Fatigue.

Lian Beenhakker, Kim A E Wijlens, Christina Bode, Miriam M R Vollenbroek-Hutten, Sabine Siesling, Janine A van Til, Annemieke Witteveen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in MDM policy & practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Lian BeenhakkerDepartment of Biomedical Signals and Systems, Technical Medical Centre, University of Twente, Enschede, The Netherlands.ORCID https://orcid.org/0000-0002-5514-2407
Kim A E WijlensDepartment of Biomedical Signals and Systems, Technical Medical Centre, University of Twente, Enschede, The Netherlands.ORCID https://orcid.org/0000-0001-8542-5494
Christina BodeDepartment of Psychology, Health and Technology, University of Twente, Enschede, The Netherlands.
Miriam M R Vollenbroek-HuttenDepartment of Biomedical Signals and Systems, Technical Medical Centre, University of Twente, Enschede, The Netherlands.
Sabine SieslingDepartment of Health Technology and Services Research, Technical Medical Centre, University of Twente, Enschede, The Netherlands.
Janine A van TilDepartment of Health Technology and Services Research, Technical Medical Centre, University of Twente, Enschede, The Netherlands.
Annemieke WitteveenDepartment of Biomedical Signals and Systems, Technical Medical Centre, University of Twente, Enschede, The Netherlands.ORCID https://orcid.org/0000-0001-5581-6478

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Highlights: Many breast cancer survivors experience cancer-related fatigue for which many interventions exist.Our results show large preference heterogeneity in breast cancer patients' preferences for attributes of eHealth interventions.Based on this preference heterogeneity, intervention advice for cancer-related fatigue after breast cancer can be personalized, ultimately improving quality of life after breast cancer.

Indexed as

best-worst scalingbreast cancercancer-related fatiguepatient preferences

Identifiers

PMID39807275
PMCPMC11726506

What OpenQuestion holds

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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.