ArticleBMJ open ophthalmology2023
Risk factors associated with elevated intraocular pressure: a population-based study in a rural community of Bangladesh.
Article in BMJ open ophthalmology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled 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.
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
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Eye health risks associated with unclean fuel: a meta-analysis and systematic review.Frontiers in public health · 2024Pooled it
- Dual role of microglia in glaucoma: Regulation of neuroinflammation and neuroregeneration.Neural regeneration research · 2026Article
- Initial assessment of a species-specific rebound measurement mode for non-human primates.BMC veterinary research · 2026Article
- A novel retrobulbar/intraconal surgical approach with combined cataract extraction and a modified AHMED ClearPath 250mmFrontiers in ophthalmology · 2026Article
- Results of a Targeted Glaucoma Screening Project Conducted Outside Formal Healthcare Settings in Croatia.Journal of clinical medicine · 2025Article
- Oral contraceptive use and intraocular pressure: findings from a population-based cross-sectional study.BMC ophthalmology · 2025Article
- Diagnostic accuracy of the TsiogkaSpaeth grid test for detecting visual field defects in patients with glaucoma.BMJ open ophthalmology · 2025Article
- Objective test findings in patients with chronic eye symptoms seeking care at an outpatient neck center: ligamentous cervical instability etiology?Frontiers in neurology · 2025Article
- Change of Intraocular Pressure Over 5 Years and its Relationship to Cardiovascular Parameters: Results From the Gutenberg Health Study.Investigative ophthalmology & visual science · 2024Article
- NMI, POLR3G and APIP are the key molecules connecting glaucoma with high intraocular pressure: a clue for early diagnostic biomarker candidates.International journal of ophthalmology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveHigh intraocular pressure (IOP) is one of the major modifiable risk factors for glaucoma. The objective was to examine socio-demographic and clinical factors related to IOP. METHODS AND ANALYSIS: This study was conducted among 3097 adults residing in a rural area of Bangladesh, with all participants undergoing clinical and ophthalmological evaluations. The measurement of IOP was carried out using of a rebound Tonometer called Icare pro. Multiple logistic regression analysis was employed to identify variables associated to IOP levels of 21 mm Hg or above. Adjusted OR (aOR) and 95% CI were reported.
resultsThis study found that, in total, 9% of the study population had high IOP in one or both eyes. Elevated IOP was significantly associated with respondents who were service holders (aOR 2.52; 95% CI 1.48 to 4.31), had a lower education level (aOR 1.55, 95% CI 1.07 to 2.23), used biomass fuel (aOR 2.00; 95% CI 1.09 to 3.67), belonged to a higher socioeconomic position (aOR 1.55, 95% CI 1.07 to 2.23) and had obesity (aOR 2.00; 95% CI 1.07 to 3.73), hypertension (aOR 1.32; 95% CI 1.01 to 1.73) or history of diabetes (aOR 2.44; 95% CI 1.67 to 3.55), after adjusting for covariates including age, sex, marital status, light source and tobacco consumption, in a multiple regression analysis.
conclusionChronic diseases, such as hypertension and diabetes, obesity and sociodemographic characteristics such as high socioeconomic status and use of biomass fuels, have all been linked to elevated IOP. Patients with chronic diseases should undergo for IOP testing regularly.
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.