Evidence map›Paper›PMID 37795416›Full record

ArticleFrontiers in medicine2023

Early referring saved lives in kidney transplant recipients with COVID-19: a beneficial role of telemedicine.

Ivan Zahradka, Vojtech Petr, Katarina Jakubov, Istvan Modos, Filip Hruby, Ondrej Viklicky

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 22% 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, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

6 authors at 1 institution in 1 country.

Ivan ZahradkaDepartment of Nephrology, Institute for Clinical and Experimental Medicine, Prague, Czechia.
Vojtech PetrDepartment of Nephrology, Institute for Clinical and Experimental Medicine, Prague, Czechia.
Katarina JakubovDepartment of Nephrology, Institute for Clinical and Experimental Medicine, Prague, Czechia.
Istvan ModosDepartment of Information Technology, Institute for Clinical and Experimental Medicine, Prague, Czechia.
Filip HrubyDepartment of Information Technology, Institute for Clinical and Experimental Medicine, Prague, Czechia.
Ondrej ViklickyDepartment of Nephrology, Institute for Clinical and Experimental Medicine, Prague, Czechia.
Institute of Clinical and Experimental Medicine · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: There is a strong impetus for the use of telemedicine for boosting early detection rates and enabling early treatment and remote monitoring of COVID-19 cases, particularly in chronically ill patients such as kidney transplant recipients (KTRs). However, data regarding the effectiveness of this practice are lacking. Methods: In this retrospective, observational study with prospective data gathering we analyzed the outcomes of all confirmed COVID-19 cases ( Results: We found that KTRs who referred their illness to the transplant center late had a higher 30-day mortality (4.5 vs. 13.6%, Discussion: A well-organized telemedicine program can help to protect KTRs during an infectious disease outbreak by facilitating pro-active management and close surveillance. Furthermore, these results can be likely extrapolated to other vulnerable populations, such as patients with chronic kidney disease, diabetes or autoimmune diseases requiring the use of immunosuppression.

Indexed as

COVID-19kidney transplantationmortalityoutcomesSARS-CoV-2telehealth

Identifiers

PMID37795416
PMCPMC10546052
OpenAlexW4386855271

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.