Evidence map›Paper›PMID 35207326›Full record

ArticleJournal of clinical medicine2022

Impact of the Type of Dialysis on Time to Transplantation: Is It Just a Matter of Immunity?

Matteo Righini, Irene Capelli, Marco Busutti, Concettina Raimondi, Giorgia Comai, Gabriele Donati, Maria Laura Cappuccilli, Matteo Ravaioli, Pasquale Chieco, Gaetano La Manna

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. 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
0.8field-weighted citation impact, top 32% 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, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Special Issue: New Advances in Kidney Transplantation.Journal of clinical medicine · 2022
    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

10 authors at 4 institutions in 1 country.

Matteo RighiniNephrology, Dialysis and Transplantation Unit, IRCCS-Azienda Ospedaliero Universitaria di Bologna, Alma Mater Studiorum, University of Bologna, 40100 Bologna, Italy.ORCID 0000-0001-5082-7231
Irene CapelliNephrology, Dialysis and Transplantation Unit, IRCCS-Azienda Ospedaliero Universitaria di Bologna, Alma Mater Studiorum, University of Bologna, 40100 Bologna, Italy.
Marco BusuttiNephrology, Dialysis and Transplantation Unit, IRCCS-Azienda Ospedaliero Universitaria di Bologna, Alma Mater Studiorum, University of Bologna, 40100 Bologna, Italy.
Concettina RaimondiNephrology, Dialysis and Transplantation Unit, IRCCS-Azienda Ospedaliero Universitaria di Bologna, Alma Mater Studiorum, University of Bologna, 40100 Bologna, Italy.
Giorgia ComaiNephrology, Dialysis and Transplantation Unit, IRCCS-Azienda Ospedaliero Universitaria di Bologna, Alma Mater Studiorum, University of Bologna, 40100 Bologna, Italy.
Gabriele DonatiNephrology, Dialysis and Transplantation Unit, IRCCS-Azienda Ospedaliero Universitaria di Bologna, Alma Mater Studiorum, University of Bologna, 40100 Bologna, Italy.
Maria Laura CappuccilliDepartment of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, 40126 Bologna, Italy.ORCID 0000-0002-2592-9532
Matteo RavaioliDepartment of General Surgery and Transplantation, Policlinico di Sant' Orsola, 40138 Bologna, Italy.ORCID 0000-0001-5862-6151
Pasquale ChiecoDepartment of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, 40126 Bologna, Italy.
Gaetano La MannaNephrology, Dialysis and Transplantation Unit, IRCCS-Azienda Ospedaliero Universitaria di Bologna, Alma Mater Studiorum, University of Bologna, 40100 Bologna, Italy.
Azienda USL di Bologna · ITUniversity of Bologna · ITIRCCS Azienda Ospedliero-Universitaria di Bologna Policlinico di Sant'Orsola · ITOspedale "Santa Maria delle Croci" di Ravenna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRenal transplantation represents the therapeutic gold standard in patients with end stage renal disease (ESRD). Still the role of pre-transplant dialysis in affecting time to transplantation has yet to be determined. We wanted to verify whether the type of renal replacement therapy (hemodialysis vs. peritoneal dialysis) affects time to transplantation and to identify clinical features related to the longer time to transplantation.

methodsWe performed a retrospective single-center observational study on patients who had received a transplant in the Bologna Transplant Unit from 1991 to 2019, described through the analysis of digital transplant list documents for sex, age, body mass index (BMI), blood group, comorbidities, underlying disease, serology, type of dialysis, time to transplantation, Panel Reactive Antibodies (PRA) max, number of preformed anti Human Leukocyte Antigens (HLA) antibodies. A

resultsIn the 1619 patients analyzed, we observed a significant difference in time to transplant, PRA max and Preformed Antibodies Number between patients who received Hemodialysis (HD) and Peritoneal dialysis (PD). Then we performed a multiple regression analysis with all the considered factors in order to identify features that support these differences. The clinical variables that independently and directly correlate with longer time to transplantation are PRA max (

conclusionsIn our work, PD population received renal transplants in a shorter period of time compared to HD and turned out to be less immunized. Considering immunization, the type of dialysis impacts both on PRA max and on anti HLA antibodies.

Indexed as

autoimmunityhemodialysiskidney transplantationperitoneal dialysis

Identifiers

PMID35207326
PMCPMC8874533
OpenAlexW4212994859

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.