Evidence map›Paper›PMID 40695921›Full record

ArticleScientific reports2025

Disease cause attribution and preference for low versus high self-management treatments.

Tom Joonhwan Kim, Jaehwan Kim

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

2 authors.

Tom Joonhwan KimYonsei University Mirae Campus, 1 Yonseidae-gil, Wonju, Gangwon-do, 26493, South Korea. tomjkim@yonsei.ac.kr.
Jaehwan KimDepartment of Dermatology, University of California Davis, 3301 C Street, Sacramento, CA, 95816, USA.

Funding

Yonsei University 2023-62-0006
6 · The paper itself

Abstract

We investigate how disease cause attribution influences preferences for treatments that vary in patients' self-management by comparing the attribution of disease cause to lifestyle and attribution to genes. We demonstrate that individuals' self-control trait is a critical moderating factor in deciding preference between treatments in response to the disease cause information. Individuals with low self-control traits had a stronger tendency to prefer a treatment that requires a low level of self-management when they attributed the disease cause to genes than when they attributed it to their lifestyle. However, the preference for treatments of individuals with high self-control traits was not influenced by the disease-cause attribution. We suggest medical practitioners consider how disease attribution can influence preference for available treatment options when communicating with their patients.

Indexed as

Patient PreferenceSelf-ManagementAdultAgedFemaleHumansLife StyleMaleMiddle AgedGenetic attributionMedical decision-makingSelf-controlTreatment preference

Identifiers

PMID40695921
PMCPMC12284083

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.