Evidence map›Paper›PMID 39845402›Full record

ArticleJAAD international2025

Impact of disease cyclicity on quality-of-life impairment-A mixed method explanatory study.

Ying Shan Cheung, Winston Tham Zhi Wen, Ashvin R Chundayil, Phillip Phan, Ellie Choi Ci-En

Abstract read
In one paragraph

Article in JAAD international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Ying Shan CheungDivision of Dermatology, Department of Medicine, National University Healthcare System, Singapore.
Winston Tham Zhi WenSchool of Medicine, University College London (UCL), London, United Kingdom.
Ashvin R ChundayilDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Phillip PhanDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Ellie Choi Ci-EnDivision of Dermatology, Department of Medicine, National University Healthcare System, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Disease cyclicity, a composite measure of unpredictable and daily fluctuations of symptoms, strongly predicts quality-of-life (QoL) impairment. Objective: To explore the mechanisms by which cyclicity impacts QoL. Methods: 1:1 semi-structured interviews were conducted and qualitatively analyzed using grounded theory. Common themes were identified and used to derive a theoretical framework. Results: Twenty-three adults, (median age 28.5, range 20-72) with a range of chronic inflammatory diseases including eczema, psoriasis, and inflammatory arthritis were prospectively recruited. Cyclicity, characterized by unpredictability, uncontrollability, and lability, contributed to a varying productivity and inconsistent ability in performing daily activities. Challenges intensified if external expectations of the patient were inconsistent with their fluctuating ability. Coping abilities, shaped by internal and external factors, moderated the relationship between cyclicity and QoL impairment. Limitations: Qualitative interviews assume patients have accurate insights into their own behaviors. The generalizability of findings may be limited in other populations. Conclusion: Disease cyclicity defines many inflammatory diseases. This study provides a theoretical framework for understanding and managing the challenges patients with a cyclical condition face.

Indexed as

disease cyclicityeczemamixed methodpsoriasisqualitative studysymptom burden

Identifiers

PMID39845402
PMCPMC11751501

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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.