Evidence map›Paper›PMID 42367656›Full record

ArticleEULAR rheumatology open2025

Can real-world measures of activity, sleep, and cardiorespiratory function stratify Sjogren's disease participants with persistent fatigue? Insights from the BRC tools study.

Chloe Hinchliffe, Bing Zhai, Victoria Macrae, Jade Walton, Silvia Del Din, Wan-Fai Ng

Abstract read
In one paragraph

Article in EULAR rheumatology open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

6 authors.

Chloe HinchliffeTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Bing ZhaiComputer and Information Science, Northumbria University, Newcastle upon Tyne, UK.
Victoria MacraeNational Institute for Health and Care Research Newcastle Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust and Newcastle University, Newcastle upon Tyne, UK.
Jade WaltonNational Institute for Health and Care Research Newcastle Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust and Newcastle University, Newcastle upon Tyne, UK.
Silvia Del DinTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Wan-Fai NgNational Institute for Health and Care Research Newcastle Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust and Newcastle University, Newcastle upon Tyne, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Fatigue is a common and debilitating symptom for many people with Sjogren's disease (SjD). A major challenge in research with fatigue is its highly subjective nature, and unlike subjective measures of sleep and activity, no previous works have found reliable objective measures for identifying fatigue. The current analysis explored if categorising participants based on the patterns of their self-reported fatigue, rather than overall severity, would reveal more group differences in real-world measures of activity, sleep, and cardiorespiratory function estimated by digital wearables. Methods: In total, 97 participants with SjD wore a VitalPatch chest-worn sensor and ActiGraph wrist-worn sensor for up to two 7-day periods while self-assessing their fatigue severity up to 4 times daily. These devices estimated 31 measures relating to activity, sleep, and cardiorespiratory function. Participants were grouped based on the persistency of their fatigue, and for comparison, a more conventional approach grouped participants based on their overall fatigue. Results: Between-group differences for both approaches showed that those with more fatigue had reduced activity intensity, poorer sleep quality, and a higher heart rate. But, separating participants by fatigue persistency, compared with overall fatigue, returned more statistically significant ( Conclusions: Isolating participants with higher lower-variable fatigue revealed more between-group differences than that with simply isolating those with higher overall fatigue. This alternative strategy demonstrates that digital wearables do have the potential to identify fatigue in participants with SjD. Thus, contributing towards objective, continuous estimates of fatigue in chronic diseases.

Identifiers

PMID42367656
PMCPMC13292492

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