ArticleRheumatology (Oxford, England)2022
Investigating characteristics of idiopathic inflammatory myopathy flares using daily symptom data collected via a smartphone app.
Article in Rheumatology (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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.
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Flares and definition of worsening in inflammatory myopathies: a narrative review of the literature.Rheumatology (Oxford, England) · 2026Review
- Understanding online discussions related to pain among patients living with myositis.Rheumatology international · 2026Article
- Clinical characteristics and risk factors associated with objective flares in patients with dermatomyositis.Seminars in arthritis and rheumatism · 2026Article
- Evidence for telemedicine heterogeneity in rheumatic and musculoskeletal diseases care: a scoping review.Clinical rheumatology · 2024Article
- Digital Approaches for Myositis.Current rheumatology reports · 2023Review
- Healthcare utilization and unmet needs of patients with antisynthetase syndrome: An international patient survey.Rheumatology international · 2023Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveThe objective of this study was to use daily data collected via a smartphone app for characterization of patient-reported and symptom-based (using an a priori definition) flares in an adult idiopathic inflammatory myopathy (IIM) cohort.
methodsUK adults with an IIM answered patient-reported outcome measurements (PROMs) daily via a smartphone app during a 91-day study. Daily symptom PROMs addressed global activity, overall pain, myalgia, fatigue, and weakness (on a 0-100 visual analogue scale). Patient-reported flares were recorded via a weekly app question. Symptom-based flares were defined via an a priori definition related to increase in daily symptom data from the previous 4-day mean.
resultsTwenty participants (65% female) participated. Patient-reported flares occurred on a median of 5 weeks (IQR 3, 7) per participant, out of a possible 13. The mean of each symptom score was significantly higher in flare weeks, compared with non-flare weeks (e.g. mean flare week myalgia score 34/100, vs 21/100 during non-flare week, t test P-value <0.01). Fatigue accounted for the most symptom-based flares [incidence-rate 23/100 person-days (95% CI 19, 27)], and myalgia the fewest [incidence rate 13/100 person-days (95% CI 11, 16)]. Symptom-based flares typically resolved after 3 days, although fatigue-predominant flares lasted 2 days. The majority (69%) of patient-reported flare weeks coincided with at least one symptom-based flare.
conclusionsIIM flares are frequent and associated with increased symptom scores. This study has demonstrated the ability to identify and characterize patient-reported and symptom-based flares (based on an a priori definition), using daily app-collected data.
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Registered trials
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