Evidence map›Paper›PMID 39253385›Full record

ArticleTransplant international : official journal of the European Society for Organ Transplantation2024

Longitudinal Trajectories of Estimated Glomerular Filtration Rate in a European Population of Living Kidney Donors.

Manuela Almeida, Pedro Reis Pereira, José Silvano, Catarina Ribeiro, Sofia Pedroso, Sandra Tafulo, La Salete Martins, Miguel Silva Ramos, Jorge Malheiro

Abstract read
In one paragraph

Article in Transplant international : official journal of the European Society for Organ Transplantation, 2024. 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
–field-weighted citation impact
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.

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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

9 authors.

Manuela AlmeidaDepartment of Nephrology, Unidade Local de Saúde de Santo António (ULSdSA), Porto, Portugal.
Pedro Reis PereiraDepartment of Nephrology, Unidade Local de Saúde de Santo António (ULSdSA), Porto, Portugal.
José SilvanoDepartment of Nephrology, Unidade Local de Saúde de Santo António (ULSdSA), Porto, Portugal.
Catarina RibeiroDepartment of Nephrology, Unidade Local de Saúde de Santo António (ULSdSA), Porto, Portugal.
Sofia PedrosoDepartment of Nephrology, Unidade Local de Saúde de Santo António (ULSdSA), Porto, Portugal.
Sandra TafuloUMIB - Unit for Multidisciplinary Research in Biomedicine, ICBAS - School of Medicine and Biomedical Sciences, University of Porto, Porto, Portugal.
La Salete MartinsDepartment of Nephrology, Unidade Local de Saúde de Santo António (ULSdSA), Porto, Portugal.
Miguel Silva RamosDepartment of Urology, Unidade Local de Saúde de Santo António (ULSdSA), Porto, Portugal.
Jorge MalheiroDepartment of Nephrology, Unidade Local de Saúde de Santo António (ULSdSA), Porto, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A living donor (LD) kidney transplant is the best treatment for kidney failure, but LDs safety is paramount. We sought to evaluate our LDs cohort's longitudinal changes in estimated glomerular filtration rate (eGFR). We retrospectively studied 320 LDs submitted to nephrectomy between 1998 and 2020. The primary outcome was the eGFR change until 15 years (y) post-donation. Subgroup analysis considered distinct donor characteristics and kidney function reduction rate (%KFRR) post-donation [-(eGFR

Indexed as

Glomerular Filtration RateKidney TransplantationLiving DonorsNephrectomyAdultEuropeFemaleHumansKidneyLongitudinal StudiesMaleMiddle AgedRetrospective Studiesestimated glomerular filtration rateestimated glomerular filtration rate trajectorieskidney transplantliving donorliving donor characteristics

Identifiers

PMID39253385
PMCPMC11381247

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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.