Evidence map›Paper›PMID 35594474›Full record

ArticleArthritis & rheumatology (Hoboken, N.J.)2022

Symptom-Based Cluster Analysis Categorizes Sjögren's Disease Subtypes: An International Cohort Study Highlighting Disease Severity and Treatment Discordance.

Sara S McCoy, Miguel Woodham, Christie M Bartels, Ian J Saldanha, Vatinee Y Bunya, Noah Maerz, Esen K Akpek, Matthew A Makara, Alan N Baer

Abstract read
In one paragraph

Article in Arthritis & rheumatology (Hoboken, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Activity and Damage Indices for Sjögren's Disease.Journal of clinical medicine · 2026
    Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Insights into Patient Heterogeneity in Sjögren's Disease.International journal of molecular sciences · 2025
    Review
  16. Article
  17. Observational
  18. Article
  19. Article
  20. Review
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

9 authors.

Sara S McCoyUniversity of Wisconsin, Madison, Wisconsin.ORCID 0000-0002-5293-4185
Miguel WoodhamUniversity of Wisconsin, Madison, Wisconsin.
Christie M BartelsUniversity of Wisconsin, Madison, Wisconsin.ORCID 0000-0001-6523-0374
Ian J SaldanhaBrown University, Providence, Rhode Island.ORCID 0000-0002-2062-3382
Vatinee Y BunyaUniversity of Pennsylvania, Philadelphia.
Noah MaerzUniversity of Wisconsin, Madison, Wisconsin.
Esen K AkpekJohns Hopkins University, Baltimore, Maryland.
Matthew A MakaraSjögren's Foundation, Reston, Virginia.
Alan N BaerJohns Hopkins University, Baltimore, Maryland.ORCID 0000-0001-8344-013X

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
Institutional Career Development CoreKL2TR002374 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI Bo Liu, Marin Leigh Schweizer · 2017 to 2026
$9.7M
Developing new methods for early detection of Sjogren's syndromeR01EY026972 · NEI · UNIVERSITY OF PENNSYLVANIA · PI BUNYA, VATINEE Y · 2016 to 2020
$2.0M
NCATS NIH HHS KL2 TR002374NCATS NIH HHS UL1 TR002373NEI NIH HHS R01 EY026972NHLBI NIH HHS HHSN268201300057CNIDCR NIH HHS 75N92019P00427
6 · The paper itself

Abstract

objectiveAlthough symptom relief is a critical aspect for successful drug development in Sjögren's disease, patient experiences with Sjögren's-related symptoms are understudied. Our objective was to determine how pain, dryness, and fatigue, the cardinal symptoms of Sjögren's disease, drive cluster phenotypes.

methodsWe used data from the Sjögren's International Collaborative Clinical Alliance (SICCA) Registry and a Sjögren's Foundation survey. We performed hierarchical clustering of symptoms by levels of dryness, fatigue, and pain. Using international and US cohorts, we performed multiple logistic regression analysis to compare the clusters, which included comparisons of differences in symptoms, quality of life (QoL), medication use, and systemic manifestations.

resultsFour similar clusters were identified among 1,454 SICCA registrants and 2,920 Sjögren's Foundation survey participants: 1) low symptom burden in all categories (LSB); 2) dry with low pain and low fatigue (DLP); 3) dry with high pain and low to moderate fatigue (DHP); and 4) high symptom burden in all categories (HSB). Distribution of SICCA registrants matching the symptom profile for each cluster was 10% in the LSB cluster, 30% in the DLP cluster, 23% in the DHP cluster, and 37% in the HSB cluster. Distribution of survey participants matching the symptom profile for each cluster was 23% in the LSB cluster, 14% in the DLP cluster, 21% in the DHP cluster, and 42% in the HSB cluster. Individuals in the HSB cluster had more total symptoms and lower QoL but lower disease severity than those in the other clusters. Despite having milder disease as measured by laboratory tests and organ involvement, individuals in the HSB cluster received immunomodulatory treatment most often.

conclusionWe identified 4 symptom-based Sjögren's clusters and showed that symptom burden and immunomodulatory medication use do not correlate with Sjögren's end-organ or laboratory abnormalities. Findings highlight a discordance between objective measures and treatments and offer updates to proposed symptom-based clustering approaches.

Indexed as

Quality of LifeSjogren's SyndromeCluster AnalysisCohort StudiesFatigueHumansPainSeverity of Illness Index

Identifiers

PMID35594474
PMCPMC9427679

What OpenQuestion holds

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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.