Evidence map›Paper›PMID 27903767›Full record

ArticleProgress in transplantation (Aliso Viejo, Calif.)2017

Characterization of Body Composition and Fat Mass Distribution 1 Year After Kidney Transplantation.

Catherine Pantik, Young-Eun Cho, Donna Hathaway, Elizabeth Tolley, Ann Cashion

Abstract read
In one paragraph

Article in Progress in transplantation (Aliso Viejo, Calif.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 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

5 authors.

Catherine Pantik1 College of Nursing, University of Tennessee Health Science Center, Memphis, TN, USA.
Young-Eun Cho2 Division of Intramural Research, National Institute of Nursing Research, National Institutes of Health, Bethesda, MD, USA.
Donna Hathaway1 College of Nursing, University of Tennessee Health Science Center, Memphis, TN, USA.
Elizabeth Tolley3 Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN, USA.
Ann Cashion2 Division of Intramural Research, National Institute of Nursing Research, National Institutes of Health, Bethesda, MD, USA.

Funding

Biomarkers to Predict Patient Outcomes and Guide TherapiesZIANR000030 · NINR · NATIONAL INSTITUTE OF NURSING RESEARCH · PI CASHION, ANN · 2014 to 2019
$10.0M
Genetics, Environment and Weight Gain PosttransplantR01NR009270 · NINR · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI HATHAWAY, DONNA K · 2007 to 2011
$1.7M
Intramural NIH HHS ZIA NR000030NINR NIH HHS R01 NR009270
6 · The paper itself

Abstract

purposeIn some recipients, significant weight gain occurs after kidney transplantation. Weight gain is associated with poor outcomes, particularly increased cardiovascular risk. In this study, we characterized changes in body mass index and body fat mass and compared them based on gender and race.

methodsFifty-two kidney transplant recipients (aged ≥18 years old, 50% men, 58% African American) were enrolled into a prospective study. Body mass index and body fat mass were measured at baseline and 12 months posttransplant. Body fat mass was determined by dual-energy X-ray absorptiometry.

resultsThe mean increase in body weight was 3.7kg at 12 months; 36.5% (n=19) gained at least 10% of their baseline body weight. Body mass index, percentage of total body fat, and trunk fat were significantly increased. In subgroups, women and African American showed significant increases in body mass index and body fat measures. More participants were classified as obese based on total body fat compared to body mass index. Calories from fat were significantly increased at 12 months and associated with increased body mass index, total body fat, and trunk fat. Days of physical activity were significantly increased.

conclusionBoth body mass index and total body fat mass were significantly increased at 12 months following kidney transplantation, especially for women and African Americans. Importantly, more participants were classified as obese based on total body fat compared to body mass index. Relevant nutrition and physical intervention should be provided, and both body mass index and body fat mass should be evaluated when monitoring weight gain.

Indexed as

Body CompositionKidney TransplantationAbsorptiometry, PhotonAdipose TissueAdultFemaleHumansMaleMiddle AgedProspective StudiesWeight GainBMIbody fat masskidney transplantobesityweight gain

Identifiers

PMID27903767
PMCPMC6086117

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Registered trials

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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.