Evidence map›Paper›PMID 36874736›Full record

ArticleCureus2023

Lockdown: The Impact on Management of Glaucoma in a Suburban Tertiary Centre in Malaysia.

Jasvinjeet K Sidhu, Azhany Yaakub, Liza Sharmini Ahmad Tajudin

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 99% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Jasvinjeet K SidhuDepartment of Ophthalmology and Visual Science, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, MYS.
Azhany YaakubDepartment of Ophthalmology and Visual Science, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, MYS.
Liza Sharmini Ahmad TajudinDepartment of Ophthalmology and Visual Science, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, MYS.
Universiti Sains Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe COVID-19 pandemic brought the world to a standstill in 2020. Many countries have imposed lockdowns, known as the movement-control order (MCO) in Malaysia, to prevent transmission of the disease.

aimThe objective of this study is to evaluate the impact of the MCO on the management of glaucoma patients in a suburban tertiary hospital. METHODOLOGY: We conducted a cross-sectional study of 194 glaucoma patients between June 2020 and August 2020 in the glaucoma clinic at Hospital Universiti Sains Malaysia. We evaluated the patients' treatment, visual acuity, intraocular pressure (IOP) measurements, and potential signs of progression. We compared the results with those of their last clinic visits prior to the MCO.

resultsWe studied 94 (48.5%) male and 100 (51.5%) female glaucoma patients with a mean age of 65 ± 13.7. The mean duration between pre-MCO and post-MCO follow-up was 26.4 ± 6.7 weeks. There was a significant increase in the number of patients with deterioration of visual acuity, and one patient lost his vision after the MCO. There was also a significant elevation of the mean IOP of the right eye: pre-MCO, 16.7 ± 7.8 mmHg, compared to post-MCO, 17.7 ± 8.8 mmHg (

conclusionLockdown, as a preventive step in the COVID-19 pandemic, indirectly caused the progression of glaucoma and uncontrolled IOP.

Indexed as

glaucomalockdownmanagementpost-movement control orderpre-movement control order

Identifiers

PMID36874736
PMCPMC9980875
OpenAlexW4318570576

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.