ArticleTranslational vision science & technology2020
Strip Meniscometry Correlates With Ocular Surface Tests and Symptoms.
Article in Translational vision science & technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 15 citations in OpenAlex.
- Human tear film protein sampling using soft contact lenses.Clinical proteomics · 2024Article
- A comparative review of evaporative dry eye disease and meibomian gland dysfunction in dogs and humans.Veterinary ophthalmology · 2023Review
- Sex differences in the relationship between axial length and dry eye in elderly patients.Frontiers in medicine · 2023Article
- Article
- Seasonality of Tear Meniscus Volume and Dry Eye-Related Symptoms - A Cross-Sectional Retrospective Cohort Study.Clinical ophthalmology (Auckland, N.Z.) · 2023Article
- Tear Strip Meniscometry and Its Clinical Application: Analysis of More Than 2000 Cases.Translational vision science & technology · 2022Article
- The Role of Different Tear Volume Detection Methods in the Evaluation and Diagnosis of Mild Dry Eye Disease.Translational vision science & technology · 2022Article
- The ocular symptoms and signs during the COVID-19 pandemic.PloS one · 2022Article
- Short Tear Breakup Time Could Exacerbate the Progression of Presbyopia in Women.BioMed research international · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: The aim of this study was to investigate the association of dry eye disease (DED)-related signs and symptoms with two tear function tests. Methods: This was a clinic-based, cross-sectional study with recruitment of consecutive participants. Schirmer test (ST), tear strip meniscometry (SM), and fluorescein tear breakup time were measured and corneal staining score was examined in outpatients at three clinics. Seven subjective symptoms were assessed by interview, including dryness, irritation, pain, lacrimation, fatigue, blurring, and photophobia. Statistical analyses included regression analysis and comparison tests. Results: The mean age of the 210 participants was 61.2 ± 15.2 years (range, 12-91 years), with 135 women (64.3%) in the cohort. The mean ST value was 12.9 ± 9.3 (0-35) mm, and SM was 2.5 ± 1.6 (0-10) mm, with no difference between women and men. SM values were lower in the presence of irritation ( Conclusions: SM was correlated with DED-related symptoms and breakup time, whereas ST was not. A low SM value could be an alternative clinical parameter to determine tear film-oriented therapy. Translational Relevance: Tear strip meniscometry could be a useful tear function examination on a routine clinical basis since it is a 5-second noninvasive procedure and associated with subjective symptoms and the value of the conventional Schirmer test.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.