Evidence map›Paper›PMID 36176651›Full record

ArticleKidney3602022

Guiding Kidney Transplantation Candidates for Effective Weight Loss: A Clinical Cohort Study.

Aleksandra Kukla, Tayyab Diwan, Byron H Smith, Maria L Collazo-Clavell, Elizabeth C Lorenz, Matthew Clark, Karen Grothe, Aleksandar Denic, Walter D Park, Sukhdeep Sahi and 8 more

Abstract read
In one paragraph

Article in Kidney360, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Supporting equitable access to kidney transplant in remote Western Australia using continuous quality improvement.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2025
    Article
  3. Article
  4. Article
  5. Review
  6. Elements of Weight Management Among Pre-Kidney Transplant Candidates: The Patient Perspective.Transplant international : official journal of the European Society for Organ Transplantation · 2024
    Article
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Aleksandra KuklaDepartment of Medicine, Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0001-9576-5687
Tayyab DiwanWilliam J. von Liebig Transplant Center, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-4153-4469
Byron H SmithWilliam J. von Liebig Transplant Center, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0001-9318-2437
Maria L Collazo-ClavellDepartment of Medicine, Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic Rochester, Minnesota.
Elizabeth C LorenzDepartment of Medicine, Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota.
Matthew ClarkDepartment of Medicine, Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic Rochester, Minnesota.
Karen GrotheDepartment of Medicine, Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic Rochester, Minnesota.
Aleksandar DenicDepartment of Medicine, Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0001-9157-5405
Walter D ParkWilliam J. von Liebig Transplant Center, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-0536-9515
Sukhdeep SahiDepartment of Medicine, Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota.
Carrie A SchinstockDepartment of Medicine, Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota.
Hatem AmerDepartment of Medicine, Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-9570-0506
Naim IssaDepartment of Medicine, Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0003-3165-5184
Andrew J BentallDepartment of Medicine, Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-8495-9782
Patrick G DeanWilliam J. von Liebig Transplant Center, Mayo Clinic, Rochester, Minnesota.
Yogish C KudvaWilliam J. von Liebig Transplant Center, Mayo Clinic, Rochester, Minnesota.
Manpreet MundiDepartment of Medicine, Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic Rochester, Minnesota.ORCID 0000-0001-7902-3544
Mark D StegallWilliam J. von Liebig Transplant Center, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-1392-0792

Funding

Improving frailty and long-term outcomes after kidney transplantationK23DK123313 · NIDDK · MAYO CLINIC ROCHESTER · PI LORENZ, ELIZABETH C. · 2019 to 2023
$795k
NIDDK NIH HHS K23 DK123313
6 · The paper itself

Abstract

Background: Obesity is increasingly common in kidney transplant candidates and may limit access to transplantation. Obesity and diabetes are associated with a high risk for post-transplant complications. The best approach to weight loss to facilitate active transplant listing is unknown, but bariatric surgery is rarely considered due to patient- and physician-related apprehension, among other factors. Methods: We aimed to determine the magnitude of weight loss, listing, and transplant rates in 28 candidates with a mean BMI of 44.4±4.6 kg/m Results: In the conservatively managed group (group 1), the mean weight at the time of initial consultation was 126.5±18.5 kg, and the mean BMI was 44.4±4.6 kg/m Conclusions: A conservative weight-loss approach involving multidisciplinary consultation was ineffective in most kidney transplant candidates with diabetes, suggesting that a more proactive approach is needed.

Indexed as

Bariatric SurgeryKidney TransplantationCohort StudiesHumansObesityWeight Lossbariatric surgeryBMIcohort studiesdiabetesdialysiskidney transplant candidatesmortalityobesitytransplantationweight loss

Identifiers

PMID36176651
PMCPMC9416837

What OpenQuestion holds

Textmetadata
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.