Evidence map›Paper›PMID 39556086›Full record

ArticleTranslational vision science & technology2024

Exploring New Links Among Keratoconus, Hormonal Factors, and Medications: Insights From a Case-Control Study Utilizing the All of Us Database.

Carol Beatty, Amy Estes, Hongyan Xu, Yutao Liu

Abstract read
In one paragraph

Article in Translational vision science & technology, 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

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

1 citing paper in PubMed.

  1. 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

4 authors.

Carol BeattyMedical College of Georgia, Augusta University, Augusta, GA, USA.
Amy EstesDepartment of Ophthalmology, James and Jean Culver Vision Discovery Institute, Augusta University, Augusta, GA, USA.
Hongyan XuDepartment of Biostatistics, Data Science and Epidemiology, Augusta University, Augusta, GA, USA.
Yutao LiuDepartment of Cellular Biology and Anatomy, Center for Biotechnology and Genomic Medicine, James and Jean Culver Vision Discovery Institute, Augusta University, Augusta, GA, USA.

Funding

Module 3: Gene Expression/ProteomicsP30EY031631 · NEI · AUGUSTA UNIVERSITY · PI Xingjun Fan · 2020 to 2026
$3.6M
Gene Discovery in Familial KeratoconusR01EY023242 · NEI · DUKE UNIVERSITY · PI LIU, YUTAO · 2013 to 2023
$3.4M
Estrogen and its Receptor in Intraocular Pressure RegulationR01EY032960 · NEI · MAYO CLINIC ROCHESTER · PI Yutao Liu · 2023 to 2026
$1.6M
Long Noncoding RNA lncLOXL1 and Exfoliation Syndrome.R21EY028671 · NEI · AUGUSTA UNIVERSITY · PI LIU, YUTAO · 2018 to 2019
$467k
MIR182 and Ocular Hypertension.R21EY033961 · NEI · AUGUSTA UNIVERSITY · PI LIU, YUTAO · 2023 to 2024
$424k
NEI NIH HHS P30 EY031631NEI NIH HHS R01 EY023242NEI NIH HHS R01 EY032960NEI NIH HHS R21 EY028671NEI NIH HHS R21 EY033961
6 · The paper itself

Abstract

Purpose: We aimed to identify clinical factors associated with keratoconus (KC) risk in the All of Us database. Methods: This retrospective matched case-control study utilized patient data from the All of Us Research Program. All patients with a KC diagnosis (n = 572) were enrolled in the study and matched with three controls (n = 1716) based on age ± 1 year, race, ethnicity, and sex. The patients' medical histories, including diabetes, sleep apnea, obesity, smoking, ocular surface disease (encompassing dry eye, eczema, and allergic or atopic conjunctivitis), allergic rhinitis, pregnancy, estrogen-containing medications, tetracyclines, and vitamin C supplementation, were collected using electronic health records. Multivariable odds ratios (ORs) between KC and health history were calculated using the R programming language. Results: The study included 2288 participants with an average age of 58.7 years. All included variables showed a significant positive correlation with KC except smoking history, which showed a negative correlation. The most significant correlations were ocular surface disease (OR = 6.04) and obesity (OR = 1.82). Significant positive associations were also identified for tetracyclines and estrogen-containing medications with KC. Smoking was negatively correlated. Conclusions: In addition to previously known risk factors, patients with a history of increased estrogen exposure and tetracycline usage were more likely to have a KC diagnosis whereas those with a smoking history were less likely. Translational Relevance: Understanding the risk factors for KC, including estrogen exposure and tetracycline medications, enhances our ability to identify at-risk patients and implement earlier screening, diagnosis, and interventions.

Indexed as

KeratoconusAdultAgedCase-Control StudiesDatabases, FactualEstrogensFemaleHumansMaleMiddle AgedOdds RatioRetrospective StudiesRisk FactorsUnited StatesEstrogens

Identifiers

PMID39556086
PMCPMC11578156

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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.