ArticleHealth SA = SA Gesondheid2025
Dry eye: A hospital-based sociodemographic, risk and clinical classification profile.
Article in Health SA = SA Gesondheid, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- The burden of keratoconjunctivitis sicca in Nigeria: a scoping review of prevalence and risk factors.International ophthalmology · 2026Review
- The prevalence and associated factors of dry eye disease amongst people diagnosed with diabetes mellitus in Bronkhorstspruit.Frontiers in clinical diabetes and healthcare · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Dry eye, a multifactorial disease of the tears and ocular surface, is considered a significantly growing public health problem worldwide. Aim: This study aimed to determine the prevalence and risk factors of dry eye disease (DED) in a population attending an eye hospital in KwaZulu-Natal, South Africa. Setting: The study was conducted at McCord Provincial Eye Hospital in Durban, KwaZulu-Natal, South Africa. Methods: A cross-sectional hospital-based study was conducted between July 2023 and August 2023. Diagnosis was confirmed with a SPEED score of ≥ 4 and a monocular tear break up time (TBUT) ≤ 10 s or Schirmer 2 ≤ 15 mm/5 min. Data were managed using Statistical Package for Social Sciences (SPSS) software version 28. Results: The overall prevalence of DED was 82.3% and highest in those > 65 years of age (odds ratios [OR] = 3.17; 95% confidence intervals [CI]: 1.45-6.94; Conclusion: The study revealed a high DED prevalence, which increased with age. Diabetes, hypertension and HIV were identified as significant risk factors for DED. Routine tear function evaluation should be an integral part of the assessment protocols of these highly susceptible patients. Furthermore, public health education in DED is essential to help reduce prevalence through the promotion of behaviour modifications. Contribution: This study provides knowledge regarding the prevalence and risk factors of DED in KwaZulu-Natal, South Africa.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.