Evidence map›Paper›PMID 38576656›Full record

ArticleCureus2024

Posterior Reversible Encephalopathy Syndrome With Hemorrhagic Transformation in the Postoperative Period of a Kidney Transplant.

Edgar Dehesa-Lopez, Sergio Saul Irizar-Santana, Miguel Angel Valdez-Cruz, Sarahy Sosa-Guerrero, Fatima Lopez-Moreno

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

3 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

5 authors at 1 institution in 1 country.

Edgar Dehesa-LopezNephrology, Universidad Autonoma de Sinaloa, Culiacan, MEX.
Sergio Saul Irizar-SantanaNephrology, Universidad Autonoma de Sinaloa, Culiacan, MEX.
Miguel Angel Valdez-CruzTransplant, Universidad Autonoma de Sinaloa, Culiacan, MEX.
Sarahy Sosa-GuerreroNephrology, Universidad Autonoma de Sinaloa, Culiacan, MEX.
Fatima Lopez-MorenoNephrology, Universidad Autonoma de Sinaloa, Culiacan, MEX.
Autonomous University of Sinaloa · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with end-stage renal disease (ESRD) who undergo kidney transplantation are at an increased risk of developing surgical and/or medical complications. Posterior reversible encephalopathy syndrome (PRES) is a rare complication that occurs in 0.34% of kidney transplant patients. It is characterized by a combination of neurological manifestations, risk factors, and characteristic radiological findings in neuroimaging studies. The development of PRES has been associated with various medical conditions and factors, including hypertension, the use of cytotoxic and immunosuppressive drugs, acute or chronic kidney disease, pre-eclampsia/eclampsia, autoimmune diseases, and solid organ and bone marrow transplantation. This report presents the case of a 19-year-old woman diagnosed with ESRD on hemodialysis due to lupus nephritis who experienced an episode of PRES with intraparenchymal hemorrhage during the postoperative period of kidney transplantation. The case emphasizes the importance of closely monitoring these patients during this period to enable early diagnosis and timely treatment of complications, ensuring a favorable prognosis.

Indexed as

convulsive seizureskidney transplant recipientposterior reversible encephalopathy syndrome (pres)severe hypertensiontacrolimus toxicity

Identifiers

PMID38576656
PMCPMC10993100
OpenAlexW4392451838

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.