Evidence map›Paper›PMID 33151999›Full record

SynthesisPloS one2020

Ocular surface manifestations of coronavirus disease 2019 (COVID-19): A systematic review and meta-analysis.

Kanika Aggarwal, Aniruddha Agarwal, Nishant Jaiswal, Neha Dahiya, Alka Ahuja, Sarakshi Mahajan, Louis Tong, Mona Duggal, Meenu Singh, Rupesh Agrawal and 1 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 4 pooled it
18.4field-weighted citation impact, top 1% 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

82 citing papers in PubMed, 4 syntheses or guidelines pooled it, 153 citations in OpenAlex.

  1. Pooled it
  2. Hearing Loss, Tinnitus, and Dizziness in COVID-19: A Systematic Review and Meta-Analysis.The Canadian journal of neurological sciences. Le journal canadien des sciences neurologiques · 2022
    Pooled it
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  5. Article
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  7. Observational
  8. The "Magnificent Seven" in Oral and Systemic Health against COVID-19.Endocrine, metabolic & immune disorders drug targets · 2025
    Review
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  10. Article
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  20. Unveiling the Potential of BMolecules (Basel, Switzerland) · 2023
    Article

22 more citing papers are in PubMed but not listed here.

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

11 authors at 4 institutions in 4 countries.

Kanika AggarwalAdvanced Eye Centre, Department of Ophthalmology, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Aniruddha AgarwalAdvanced Eye Centre, Department of Ophthalmology, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Nishant JaiswalDepartment of Pediatrics, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Neha DahiyaSchool of Medicine, St Joseph Mercy Hospital, Oakland, Pontiac, Michigan, United States of America.
Alka AhujaAdvanced Eye Centre, Department of Ophthalmology, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Sarakshi MahajanSchool of Medicine, St Joseph Mercy Hospital, Oakland, Pontiac, Michigan, United States of America.
Louis TongSingapore National Eye Centre, Singapore, Singapore.
Mona DuggalAdvanced Eye Centre, Department of Ophthalmology, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Meenu SinghDepartment of Pediatrics, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Rupesh AgrawalSingapore National Eye Centre, Singapore, Singapore.
Vishali GuptaAdvanced Eye Centre, Department of Ophthalmology, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.ORCID 0000-0001-8216-4620
Post Graduate Institute of Medical Education and Research · INTrinity Health Oakland Hospital · USMoorfields Eye Hospital NHS Foundation Trust · GBNational University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study was performed to determine the occurrence of ocular surface manifestations in patients diagnosed with coronavirus disease 2019 (COVID-19) due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

methodsA systematic search of electronic databases i.e. PubMed, Web of Science, CINAHL, OVID and Google scholar was performed using a comprehensive search strategy. The searches were current through 31st May 2020. Pooled data from cross-sectional studies was used for meta-analysis and a narrative synthesis was conducted for studies where a meta-analysis was not feasible.

resultsA total of 16 studies reporting 2347 confirmed COVID-19 cases were included. Pooled data showed that 11.64% of COVID-19 patients had ocular surface manifestations. Ocular pain (31.2%), discharge (19.2%), redness (10.8%), and follicular conjunctivitis (7.7%) were the main features. 6.9% patients with ocular manifestations had severe pneumonia. Viral RNA was detected from the ocular specimens in 3.5% patients.

conclusionThe most common reported ocular presentations of COVID-19 included ocular pain, redness, discharge, and follicular conjunctivitis. A small proportion of patients had viral RNA in their conjunctival/tear samples. The available studies show significant publication bias and heterogeneity. Prospective studies with methodical collection and data reporting are needed for evaluation of ocular involvement in COVID-19.

Indexed as

BetacoronavirusConjunctivaConjunctivitisCoronavirus InfectionsCOVID-19Eye DiseasesEye PainHumansPandemicsPneumonia, ViralSARS-CoV-2Tears

Identifiers

PMID33151999
PMCPMC7643964
OpenAlexW3094731781

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.