Evidence map›Paper›PMID 34536192›Full record

ArticleInternational urology and nephrology2021

Pre-transplant morphometry by computed tomography scan and post-transplant dialysis risk in overweight or obese kidney transplant recipients.

Ugo Pinar, Arthur Mageau, Yohann Renard, Xavier Rod, Cédric Lebacle, Benoit Barrou, Mohamad Zaidan, Jacques Irani, Thomas Bessede

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In one paragraph

Article in International urology and nephrology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 5 institutions in 1 country.

Ugo PinarDepartment of Urology and Transplantation Surgery, Hôpital de Bicêtre, AP-HP. Université Paris Saclay, 78 rue du général Leclerc, Le Kremlin-Bicêtre, 94270, Paris, France. ugopinar@gmail.com.ORCID http://orcid.org/0000-0001-6135-1005
Arthur MageauDepartment of Internal Medicine, Hôpital Henri Mondor, AP-HP, Université Paris Saclay, Créteil, 94010, Paris, France.
Yohann RenardDepartment of Visceral Surgery, Reims, Champagne-Ardenne University, Robert Debré University Hospital, Reims, France.
Xavier RodDepartment of Urology and Kidney Transplantation, Hôpitaux Universitaires Pitié-Salpêtrière-Charles Foix, AP-HP. Sorbonne Université, 75013, Paris, France.
Cédric LebacleDepartment of Urology and Transplantation Surgery, Hôpital de Bicêtre, AP-HP. Université Paris Saclay, 78 rue du général Leclerc, Le Kremlin-Bicêtre, 94270, Paris, France.
Benoit BarrouDepartment of Urology and Kidney Transplantation, Hôpitaux Universitaires Pitié-Salpêtrière-Charles Foix, AP-HP. Sorbonne Université, 75013, Paris, France.
Mohamad ZaidanDepartment of Nephrology, Hôpital de Bicêtre, AP-HP. Université Paris Saclay, Le Kremlin-Bicêtre, 94270, Paris, France.
Jacques IraniDepartment of Urology and Transplantation Surgery, Hôpital de Bicêtre, AP-HP. Université Paris Saclay, 78 rue du général Leclerc, Le Kremlin-Bicêtre, 94270, Paris, France.
Thomas BessedeDepartment of Urology and Transplantation Surgery, Hôpital de Bicêtre, AP-HP. Université Paris Saclay, 78 rue du général Leclerc, Le Kremlin-Bicêtre, 94270, Paris, France.
Université Paris-Saclay · FRSorbonne Université · FRInserm · FRUniversité de Reims Champagne-Ardenne · FRUniversité Paris-Est Créteil · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAdipose distribution and sarcopenia could better assess kidney transplantation outcomes than body mass index (BMI) and have been poorly evaluated among obese and overweight recipients. We aimed to evaluate morphometric radiologic markers to predict post-operative dialysis within this population.

methodsWe conducted a retrospective study including patients with a BMI > 25 kg/m

resultsOverall, 248 patients were included whom mean (SD) BMI and age were, respectively, 29.7 kg/m2 (3.6) and 56 years (12.7). Of them, 83 (33.5%) needed dialysis: 14 (5.7%) for primary kidney failure and 69 (27.8%) for delayed kidney function. On multivariable analysis, SAT, VAT and deceased donor were significantly associated with post-operative dialysis (respectively, OR [95%CI]:1.6 [1.1-2.6], 1.6[1.1-2.6], and 7.5 [1.6-56]). The area under the curve of this predictive model was 0.70 versus 0.64 for a BMI-based model.

conclusionHigh VAT and SAT were associated with post-transplantation dialysis. A predictive model based on these morphometrics could provide a better appreciation of graft recovery after transplantation among obese and overweight recipients. External validation is needed.

Indexed as

Kidney TransplantationTomography, X-Ray ComputedTransplant RecipientsAdipose TissueBody Mass IndexFemaleHumansMaleMiddle AgedObesityOverweightRenal DialysisRetrospective StudiesAdipose tissueBody mass indexDelayed graft functionKidney transplantationObesity

Identifiers

PMID34536192
OpenAlexW3199877070

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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.