Evidence map›Paper›PMID 34104159›Full record

ArticlePakistan journal of medical sciences

Frequency of incidental ocular findings during pre-employment screening at a tertiary care Eye hospital.

Summaya Khan, Aisha Rafique, Omar Zafar

Open access · goldAbstract read
In one paragraph

Article in Pakistan journal of medical sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 44% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

3 authors at 1 institution in 1 country.

Summaya KhanDr. Summaya Khan, FCPS., Armed Forces Institute of Ophthalmology, Rawalpindi, Pakistan.
Aisha RafiqueDr. Aisha Rafique, MBBS., Armed Forces Institute of Ophthalmology, Rawalpindi, Pakistan.
Omar ZafarDr. Omar Zafar, MCPS, FCPS., Armed Forces Institute of Ophthalmology, Rawalpindi, Pakistan.
Armed Forces Institute of Pathology · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo highlight the prevalence of incidentally discovered ocular findings harvested amongst candidates of different age groups presented for pre-employment screening in a tertiary care eye hospital.

methodsThis Cross sectional prospective study was conducted in Armed Forces Institute of Ophthalmology, Rawalpindi, from Jun 2018 to Dec 2019. Data was collected using non-probability consecutive sampling technique. All candidates who appeared for medical fitness examination were included. Candidates belonged to various regions of Pakistan. Complete ophthalmic checkup including visual acuity, best corrected visual acuity, anterior and posterior segment examination was performed. The data analysis was done by IBM SPSS 2.0 software.

resultsOne thousand and five hundred (1500) candidates underwent ophthalmic medical fitness examination during Jun 2018 to Dec 2019, out of these 86% (1290) were males and 14% (210) were females. Mean age of the candidates was 23.14 ± 5.66 years. The most common incidental ocular findings were amblyopia 24.6% (369), strabismus 10% (150), cataract 7.3% (110), macular scar 6.5% (100) and colour vision deficiencies 5.5% (82).

conclusionThe study demonstrates that out of total patients, 77% (1095) were found to be asymptomatic and 23% (405) were symptomatic. The study provides frequency for prevailing diseases and can help in improvement of eye care screening.

Indexed as

Incidental findingsPre-employment ocular screeningRoutine eye examination

Identifiers

PMID34104159
PMCPMC8155401
OpenAlexW3135756955

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.