Evidence map›Paper›PMID 38046240›Full record

ArticleArchives of rheumatology2023

Depression is the most significant independent predictor of fatigue in patients with primary Sjögren's syndrome.

Koray Ayar, Meliha Kasapoğlu Aksoy, Tülay Dilara Hattatoğlu, Büşra Yeşil

Abstract read
In one paragraph

Article in Archives of rheumatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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

4 authors.

Koray AyarDepartment of Internal Medicine, Division of Rheumatology, University of Health Sciences, Bursa Yüksek Ihtisas Training and Research Hospital, Bursa, Türkiye.ORCID 0000-0002-8798-4828
Meliha Kasapoğlu AksoyDepartment of Physical Therapy and Rehabilitation, University of Health Sciences, Bursa Yüksek Ihtisas Training and Research Hospital, Bursa, Türkiye.ORCID 0000-0003-4688-0464
Tülay Dilara HattatoğluDepartment of Internal Medicine, University of Health Sciences, Bursa Yüksek Ihtisas Training and Research Hospital, Bursa, Türkiye.ORCID 0000-0002-8629-4040
Büşra YeşilDepartment of Physical Therapy and Rehabilitation, University of Health Sciences, Bursa Yüksek Ihtisas Training and Research Hospital, Bursa, Türkiye.ORCID 0000-0001-8949-0525

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The study aimed to evaluate the level of fatigue and the relationship between mood, pain, fibromyalgia, insomnia, disease activity, and dryness with fatigue in primary Sjögren's syndrome (PSS) patients. Patients and methods: In this case-control study, the participants were recruited between January 2021 and July 2021. Functional Assessment of Chronic Illness Therapy Fatigue (FACIT-F), pain DETECT questionnaire, Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), Insomnia Severity Index (ISI) were administered to 50 PSS patients (48 females, 2 males; mean age: 48.9±10.8 years; median age: 47 years; range, 29 to 71 years) and 60 healthy controls (HCs; 57 females, 3 males; mean age: 49.8±8.4 years, median age: 52 years; range, 32 to 72 years). In addition, EULAR Sjögren's syndrome disease activity index (ESSPRI), EULAR Sjögren's Syndrome Patient Reported Index (ESSDAI), pain thresholds, Schirmer tests, and whole unstimulated salivary flow rate measurements were determined in PSS patients. Independent predictors of fatigue (fatigue subscale scores <30.5) were investigated by logistic regression analysis. Results: The frequency of fatigue in PSS patients and HCs was 54.0% and 8.3%, respectively. The rates of mood disturbance (BDI ≥11) in PSS patients with and without fatigue were 70.4% and 13.1%, respectively. BDI (Rho=-0.804), BAI (Rho=-0.586), ISI (Rho=-0.483), and ESSDAI (Rho=-0.345) were negatively correlated with the fatigue subscale score. Depression [Odds ratio (OR): 1.214, confidence interval (CI): 1.007-1.463], fibromyalgia (OR: 21.674, CI: 1.470-319.469), disease activity (OR: 1.440; CI: 1.005-2.065), and insomnia (OR: 1.223, CI: 1.003-1.4922) were identified as independent predictors of fatigue in PSS patients. It was determined that BD alone could predict fatigue by 84% in PSS patients. Conclusion: Depression can be a prominent predictor of fatigue in PSS patients. There is a need for studies evaluating the effect of antidepressant treatment approaches on fatigue accompanied by mood disturbance in PSS patients.

Indexed as

DepressionfatiguefibromyalgiaSjögren’s syndrome.

Identifiers

PMID38046240
PMCPMC10689022

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.