Evidence map›Paper›PMID 40389654›Full record

ArticleSurgical endoscopy2025

How to manage peritoneal dialysis in patients undergoing bariatric surgery? A case series from a single academic center.

Abdulaziz Ali Karam, Ali Safar, Phil Vourtzoumis, Sebastian Demyttenaere, Olivier Court, Amin Andalib

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Article in Surgical endoscopy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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.

No citing paper in PubMed yet.

4 · The record

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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.

Abdulaziz Ali KaramCentre for Bariatric Surgery, Department of Surgery, McGill University, Montreal, QC, Canada.
Ali SafarCentre for Bariatric Surgery, Department of Surgery, McGill University, Montreal, QC, Canada.
Phil VourtzoumisCentre for Bariatric Surgery, Department of Surgery, McGill University, Montreal, QC, Canada.
Sebastian DemyttenaereCentre for Bariatric Surgery, Department of Surgery, McGill University, Montreal, QC, Canada.
Olivier CourtCentre for Bariatric Surgery, Department of Surgery, McGill University, Montreal, QC, Canada.
Amin AndalibCentre for Bariatric Surgery, Department of Surgery, McGill University, Montreal, QC, Canada. amin.andalib@mcgill.ca.ORCID http://orcid.org/0000-0003-4198-8310

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBariatric surgery has gained significant attention as a potential approach for improving access to kidney transplantation (KT) in dialysis-dependent patients with severe obesity. However, there is lack of literature on how to manage peritoneal dialysis (PD) in patients with severe obesity undergoing bariatric surgery. This study aims to describe the protocol used in this specific patient population at a single academic center, focusing on the important role of the multidisciplinary team in managing this vulnerable group of patients.

methodsThis retrospective review included PD-dependent patients who had bariatric surgery at a single academic center between January 2017 and December 2024. Baseline demographics, body mass index (BMI), perioperative dialysis transitions, and postoperative outcomes were recorded.

resultsA total of 66 dialysis-dependent (stage 5D) patients underwent bariatric surgery during the study period, of which 11 patients (17%) were on PD preoperatively. Median age of the PD patients was 51 years, and 82% were males. The median baseline BMI for the PD patients was 41 kg/m

conclusionOur preliminary results show that PD-dependent patients with severe obesity can safely undergo SG as a bridge to or while awaiting KT, with no major early complications. Most patients resume PD within six weeks after surgery.

Indexed as

Bariatric SurgeryKidney Failure, ChronicObesity, MorbidPeritoneal DialysisAcademic Medical CentersAdultBody Mass IndexFemaleHumansLaparoscopyMaleMiddle AgedRetrospective StudiesTreatment OutcomeBariatric surgeryEnd-stage kidney diseaseHemodialysisKidney transplantPeritoneal dialysisSleeve gastrectomy

Identifiers

PMID40389654

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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.