Evidence map›Paper›PMID 34017884›Full record

ReviewAIMS public health2021

Corneal transplantation during COVID-19 pandemic: need for special considerations-A live review.

Anuj Kumar Pandey, Nidhi Mudgil, Yogesh Wadgave, Sidharth Sekhar Mishra

Open access · goldAbstract readReview
In one paragraph

Review in AIMS public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Presence of SARS-CoV-2 in a Cornea Transplant.Pathogens (Basel, Switzerland) · 2021
    Article
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 1 institution in 1 country.

Anuj Kumar PandeyDisaster Management Cell, Ministry of Health and Family Welfare (MOHFW), India.
Nidhi MudgilDisaster Management Cell, Ministry of Health and Family Welfare (MOHFW), India.
Yogesh WadgaveDisaster Management Cell, Ministry of Health and Family Welfare (MOHFW), India.
Sidharth Sekhar MishraDisaster Management Cell, Ministry of Health and Family Welfare (MOHFW), India.
Ministry of Health and Family Welfare · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Corneal blindness is the fourth leading cause of blindness worldwide, with 10 million people having bilateral corneal blindness, nearly 80% of all corneal blindness cases are avoidable and are reversible. Corneal transplantation (CT) is the most frequently performed type of transplant across the world. This review was conducted with the objective of identifying if it is safe to harvest the cornea from the patients died due to COVID-19 and preventing the chances of transmission from donor to the recipient or healthcare worker handling the harvested cornea. A total of 45 articles were found with the keywords and out of all, only 16 fulfilled the inclusion criteria. RT-PCR is the technique of choice for detection of virus in the corpse and the sample analyzed was a pharyngeal swab. Available literature states unavailability of sufficient evidence-based studies proving presence of virus in the cornea or tear of COVID affected patients There is no proven consensus on presence of Virus in cornea. It is important to follow preferred practice guidelines so as to restart eye banking and do at least the emergency surgeries without having risk of disease transmission and keeping ourselves safe.

Indexed as

corneal harvestingcorneal transplantationCOVID-19eye banking

Identifiers

PMID34017884
PMCPMC8116183
OpenAlexW3132856979

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.