Evidence map›Paper›PMID 32096104›Full record

Observational studyInternational ophthalmology2020

Clinical profile of pterygium in patients seeking eye care in India: electronic medical records-driven big data analytics report III.

Anthony Vipin Das, Sahitya Podila, Gumpili Sai Prashanthi, Sayan Basu

Abstract readMulticenter StudyObservational Study
PubMed Publisher
In one paragraph

Observational study in International ophthalmology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.0field-weighted citation impact, top 7% of its field
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

18 citing papers in PubMed, 29 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Anthony Vipin DasDepartment of eyeSmart EMR and AEye, L V Prasad Eye Institute, Hyderabad, Telangana, India.
Sahitya PodilaSchool of Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, USA.
Gumpili Sai PrashanthiDepartment of eyeSmart EMR and AEye, L V Prasad Eye Institute, Hyderabad, Telangana, India.
Sayan BasuThe Cornea Institute, L V Prasad Eye Institute, Hyderabad, Telangana, India. sayanbasu@lvpei.org.ORCID http://orcid.org/0000-0001-5030-5003
L V Prasad Eye Institute · INUniversity of New Mexico · US

Funding

Hyderabad Eye Research Foundation Intra-mural grant
6 · The paper itself

Abstract

objectiveTo describe the clinical profile of pterygium in patients presenting to a multi-tier ophthalmology hospital network in India.

methodsThis cross-sectional hospital-based study included 1,610,843 new patients presenting between 2010 and 2019. Patients with a clinical diagnosis of pterygium in at least one eye were included as cases. The data were collected using an electronic medical record system. Multiple logistic regression analysis with odds ratios (OR) was performed to identify the associated risk factors.

resultsOverall, 168,807 (10.5%) new patients were diagnosed with pterygium, of which 43,692 (26%) patients complained about the lesion. The prevalence rates were 0.7% in children and 12.6% in adults. Majority of patients were female (54.5%) and had unilateral (57%) affliction. Among the 241,631 affected eyes, the pterygia were primary in 99.6%, nasally located in 94%, and were grade I-II in 84.8%. Four in 5 eyes did not have any cylindrical refractive error, and 44% had coexistent cataract. Pterygium surgery was indicated in 10.3% eyes. Female sex (OR 1.37), increasing age (OR 19.5), rural residence (OR 1.21), agriculture work (OR 2.19), manual labor (OR 2.05), low socioeconomic status (OR 2.14) and geographical location closer to the equator (OR 3.4) were identified as the risk factors for developing pterygium.

conclusionAbout one-tenth of individuals seeking eye care in India have pterygium in at least one eye. It rarely impacts vision, is commonly unilateral and nasal and usually does not require surgery. It is associated with increasing age, females, outdoor work, low income and geographical location closer to the equator.

Indexed as

Disease ManagementAdultAge DistributionCross-Sectional StudiesData ScienceElectronic Health RecordsFemaleHospitalsHumansIndiaMaleMiddle AgedPrevalencePterygiumRetrospective StudiesRisk FactorsBig dataElectronic medical recordsPterygium

Identifiers

PMID32096104
OpenAlexW3009019355

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.