Evidence map›Paper›PMID 34221847›Full record

ReviewCurrent transplantation reports2021

COVID-19 and the Response of Transplant Centers: the Global Response with an Emphasis on the Kidney Recipient.

Yorg Azzi, Abigail Brooks, Hillary Yaffe, Stuart Greenstein

Open access · bronzeAbstract readReview
In one paragraph

Review in Current transplantation reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
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.

Yorg AzziAlbert Einstein College of Medicine, Bronx, NY USA.
Abigail BrooksAlbert Einstein College of Medicine, Bronx, NY USA.
Hillary YaffeAlbert Einstein College of Medicine, Bronx, NY USA.
Stuart GreensteinAlbert Einstein College of Medicine, Bronx, NY USA.ORCID 0000-0001-5247-9605
Albert Einstein College of Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of the reviewIn response to the COVID-19 pandemic, vulnerable populations, such as transplant patients, were at greater risk than the regular population. In order to protect these populations, transplant centers enacted new guidelines. We approach this review by looking at how different transplant regions responded to COVID-19 and analyze the unifying themes that have proven invaluable in the subsequent waves. RECENT

findingsWe noticed that most elective surgeries including living donor transplant operations were suspended in most countries. The response to deceased donor transplants varied between countries: in some deceased donor transplants continued with modified donor and recipient criteria, while in other countries this surgery was suspended. There was a general trend of decreasing or holding antimetabolites, treating the virus with hydroxychloroquine and/or azithromycin, and converting outpatient clinics to virtual clinics. SUMMARY: We learned how to carefully select donors and recipients, tailor immunosuppressant regiments, and implement telemedicine. The kidney recipient population can be effectively managed in times of crisis with appropriate accommodations and measures. This review can be a model for the transplant community for future pandemics.

Indexed as

COVID-19 in the transplant communityKidney recipients and COVID-19Review of transplant response to COVID-19Transplant response to COVID-19

Identifiers

PMID34221847
PMCPMC8241407
OpenAlexW3174740421

What OpenQuestion holds

Textmetadata
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.