Evidence map›Paper›PMID 38476359›Full record

ArticleClinical ophthalmology (Auckland, N.Z.)2024

Impact of Clinician Subjectivity on the Assessment of Dry Eye Disease Prevalence in a UK Public Health Care Patient Population.

Benjamin D Sullivan, Guy T Smith, Arun Gupta, Francesca Harman, Ejaz Ansari

Abstract read
In one paragraph

Article in Clinical ophthalmology (Auckland, N.Z.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

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

1 citing paper in PubMed.

  1. 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

5 authors.

Benjamin D SullivanTrukera Medical, Southlake, TX, USA.
Guy T SmithThe Great Western Hospital NHS Trust, Swindon, UK.
Arun GuptaAshford and St Peters NHS Trust, Ashford, UK.
Francesca HarmanHillingdon Hospital NHS Foundation, Uxbridge, UK.
Ejaz AnsariDepartment of Ophthalmology, Maidstone & Tunbridge Wells Hospitals, Maidstone, Kent, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To understand the impact of subjectivity on diagnosis rates of dry eye disease (DED) in an unbiased population. Patients and Methods: A multicenter study enrolled 818 subjects with complete report forms (465 females, 67.1 ± 16.7 years, 353 males, 65.0 ± 15.9 years). Subjects were evaluated for staining, TBUT, tear osmolarity, meibomian gland disease, and OSDI. Results: Physicians diagnosed 48.7% of subjects as having DED, ranging from 42.9% to 62.3% between sites. Positivity rates for staining (≥ grade 1) ranged from 41.3% to 84.1% (mean = 0.8 ± 0.9 grade), TBUT (<10s) ranged from 39.1% to 61.6% (mean = 10.4 ± 6.6 seconds), osmolarity (>308 mOsm/L) ranged from 63.7% to 72.4% (mean = 319.7 ± 20.8), MGD grading ranged from 28.9% to 51.3% (mean = 0.5 ± 0.7), and symptoms measured by OSDI ranged from 57.6% to 71.0% (mean = 23.5 ± 20.5) between sites. Tear osmolarity was the most consistent between sites (max/min positivity = 114%), followed by OSDI (123%), TBUT (158%), MGD (178%), and staining (204%). DED markers were uncorrelated (average Conclusion: Subjective signs of DED varied considerably, whereas objective measurements of OSDI and osmolarity were the most consistent between sites. A large proportion of subjects exhibited high symptoms and hyperosmolarity but no other obvious signs of dry eye disease, most of whom were undiagnosed by clinical assessment without access to the osmolarity measurement.

Indexed as

corneal fluorescein stainingdry eye diseasehyperosmolaritymeibomian gland diseasetear osmolarity

Identifiers

PMID38476359
PMCPMC10929644

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