Evidence map›Paper›PMID 41972479›Full record

ArticleArthritis care & research2026

Cracking the Code: Which Ocular Symptoms Predict Dry Eye Signs? Insights From a Large International Sicca Registry.

Pragnya R Donthineni, Chloe Shields, Rohit Muralidhar, Shreya Bhatt, Alan Baer, Robert Fox, Sara S McCoy, Anat Galor

Abstract read
In one paragraph

Article in Arthritis care & research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

8 authors.

Pragnya R DonthineniBascom Palmer Eye Institute, University of Miami, Miami, Florida.
Chloe ShieldsBascom Palmer Eye Institute, University of Miami, Miami, Florida.ORCID https://orcid.org/0000-0002-9492-5500
Rohit MuralidharNova Southeastern University College of Osteopathic Medicine, Davie, Florida.ORCID https://orcid.org/0009-0005-9668-2230
Shreya BhattBascom Palmer Eye Institute, University of Miami, Miami, Florida.
Alan BaerJohns Hopkins University School of Medicine, Baltimore, Maryland.ORCID https://orcid.org/0000-0001-8344-013X
Robert FoxScripps Memorial Hospital and Research Foundation, San Diego, California.
Sara S McCoyUniversity of Wisconsin School of Medicine and Public Health, Madison.ORCID https://orcid.org/0000-0002-5293-4185
Anat GalorBascom Palmer Eye Institute, University of Miami, Miami, Florida.ORCID https://orcid.org/0000-0002-3026-6155

Funding

Shared Equipment ModuleP30EY014801 · NEI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Marco Ruggeri · 2004 to 2026
$12.2M
Differentiation of Clinical Phenotypes of Inflammatory and Neuropathic Ocular Pain Conditions with Morphologic Measures and Functional Brain ImagingU01EY034686 · NEI · BOSTON CHILDREN'S HOSPITAL · PI Eric Alan Moulton · 2022 to 2026
$4.7M
Sjögren's International Collaborative Clinical Alliance Next Generation Studies (SICCA-NextGen)U01DE028891 · NIDCR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SHIBOSKI, CAROLINE HELENE · 2020 to 2024
$4.0M
Defining bacterial members of the ocular surface microbiome and assessing stability over timeU24EY035102 · NEI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GALOR, ANAT, ST LEGER, ANTHONY J · 2023 to 2025
$3.3M
Tear protein biomarkers of refractive surgery painR33EY032468 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI AICHER, SUE A, GALOR, ANAT · 2023 to 2025
$2.9M
INTERNATIONAL RESEARCH REGISTRY NETWORK FOR SJOGERNS SYNDROME-268032636N01DE032636 · NIDCR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GREENSPAN, JOHN · 2005 to 2006
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BLRD VA I01 BX004893CSRD VA I01 CX002015CSRD VA I01 CX002633Department of Defense Gulf War Illness Research Program W81XWH-20-1-0579NEI NIH HHS P30 EY014801NEI NIH HHS R33 EY032468NEI NIH HHS U01 EY034686NEI NIH HHS U24 EY035102NIDCR NIH HHS N01 DE032636NIDCR NIH HHS U01 DE028891NIH HHS GR004596-1NIH HHS NIH Center Core Grant P30EY014801NIH HHS R33EY032468NIH HHS U01 EY034686NIH HHS U24EY035102RRD VA I21 RX003883Sjögren's Foundation 2023-PltGr-109Vision Research Program W81XWH-20-1-0820
6 · The paper itself

Abstract

objectiveThe study aimed to identify symptom-based predictors of dry eye disease (DED) signs in the Sjögren's International Collaborative Clinical Alliance (SICCA) cohort.

methodsWe performed a retrospective analysis examining 16 ocular symptoms (most graded 0-4) and artificial tear (AT) use (graded 0-3) as predictors of DED signs (abnormal ocular surface staining [OSS] and Schirmer's test [ST], graded yes/no). Symptoms included descriptors of spontaneous and evoked pain, visual complaints, and other metrics (eg, redness). Logistic regressions were used for univariable and multivariable analyses, with OSS and ST as outcome variables. Hierarchical analyses were performed to identify symptom-based clusters.

resultsThe mean age of the population (n = 3,514) was 53 ± 13 years; 91% were female, 54% were White, and 44% met 2016 criteria for Sjögren disease. On multivariable analysis, OSS was positively related to AT use (odds ratio [OR] 1.51, 95% confidence interval [CI] 1.36-1.67), eye redness (OR 1.17, 95% CI 1.08-1.26), and blurred vision (OR 1.11, 95% CI 1.02-1.20). Similarly, eyes that felt dry, AT use, and blurred vision were positively related to ST. Cluster analysis revealed three groups with varied symptom burden (low, mild-moderate, and high). The mild-moderate cluster had higher frequencies of abnormal ocular signs and positive serologic test results (anti-SSA/Ro antibody, elevated IgG level) compared to the high symptom burden cluster.

conclusionAT use and blurred vision were stronger indicators of ocular surface and tear film abnormalities than pain symptoms, and their presence merits an ophthalmology referral. Symptom-based clustering revealed varied symptom burden groups, likely driven by underlying neurotrophic and neuropathic mechanisms, highlighting heterogeneity within sicca presentations and the need to develop phenotype-based targeted therapies.

Identifiers

PMID41972479
PMCPMC13542793

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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.