Evidence map›Paper›PMID 29981348›Full record

ReviewProgress in cardiovascular diseases

Obesity Paradox in Advanced Kidney Disease: From Bedside to the Bench.

Neda Naderi, Carola-Ellen Kleine, Christina Park, Jui-Ting Hsiung, Melissa Soohoo, Ekamol Tantisattamo, Elani Streja, Kamyar Kalantar-Zadeh, Hamid Moradi

Open access · bronzeAbstract readReview
In one paragraph

Review in Progress in cardiovascular diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 4 pooled it
6.2field-weighted citation impact, top 3% 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

60 citing papers in PubMed, 4 syntheses or guidelines pooled it, 108 citations in OpenAlex.

  1. Pooled it
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  15. Obesity paradox in individuals with type 1 diabetes.Frontiers in clinical diabetes and healthcare · 2025
    Review
  16. BMI and Mortality: The Diabetes-Obesity Paradox Examined in a Large US Cohort.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Article
  17. Article
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  20. Rodent models of AKI and AKI-CKD transition: an update in 2024.American journal of physiology. Renal physiology · 2024
    Review
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 3 institutions in 2 countries.

Neda NaderiHarold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine, School of Medicine, Orange, CA; Department of Internal Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Carola-Ellen KleineHarold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine, School of Medicine, Orange, CA; Nephrology Section, Tibor Rubin VA Medical Center, Long Beach, CA.
Christina ParkHarold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine, School of Medicine, Orange, CA; Nephrology Section, Tibor Rubin VA Medical Center, Long Beach, CA.
Jui-Ting HsiungHarold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine, School of Medicine, Orange, CA; Nephrology Section, Tibor Rubin VA Medical Center, Long Beach, CA.
Melissa SoohooHarold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine, School of Medicine, Orange, CA; Nephrology Section, Tibor Rubin VA Medical Center, Long Beach, CA; Dept. of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA.
Ekamol TantisattamoHarold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine, School of Medicine, Orange, CA.
Elani StrejaHarold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine, School of Medicine, Orange, CA; Nephrology Section, Tibor Rubin VA Medical Center, Long Beach, CA.
Kamyar Kalantar-ZadehHarold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine, School of Medicine, Orange, CA; Nephrology Section, Tibor Rubin VA Medical Center, Long Beach, CA; Dept. of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA. Electronic address: kkz@uci.edu.
Hamid MoradiHarold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine, School of Medicine, Orange, CA; Nephrology Section, Tibor Rubin VA Medical Center, Long Beach, CA. Electronic address: hmoradi@uci.edu.
University of California, Irvine · USTibor Rubin VA Medical Center · USTehran University of Medical Sciences · IR

Funding

MALNUTRITION, DIET AND RACIAL DISPARITIES IN CKDK24DK091419 · NIDDK · UNIVERSITY OF CALIFORNIA-IRVINE · PI KALANTAR-ZADEH, KAMYAR · 2011 to 2020
$1.8M
Examining Racial and Cardiovascular Paradoxes in Chronic Kidney DiseaseR01DK078106 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KALANTAR-ZADEH, KAMYAR · 2007 to 2011
$1.1M
HDL function and mortality in end stage renal diseaseIK2CX001043 · VA · VETERANS HEALTH ADMINISTRATION · PI MORADI, HAMID · 2015 to 2020
–
CSRD VA IK2 CX001043NIDDK NIH HHS K24 DK091419NIDDK NIH HHS R01 DK078106
6 · The paper itself

Abstract

While obesity is associated with a variety of complications including diabetes, hypertension, cardiovascular disease and premature death, observational studies have also found that obesity and increasing body mass index (BMI) can be linked with improved survival in certain patient populations, including those with conditions marked by protein-energy wasting and dysmetabolism that ultimately lead to cachexia. The latter observations have been reported in various clinical settings including end-stage renal disease (ESRD) and have been described as the "obesity paradox" or "reverse epidemiology", engendering controversy. While some have attributed the obesity paradox to residual confounding in an effort to "debunk" these observations, recent experimental discoveries provide biologically plausible mechanisms in which higher BMI can be linked to longevity in certain groups of patients. In addition, sophisticated epidemiologic methods that extensively adjusted for confounding have found that the obesity paradox remains robust in ESRD. Furthermore, novel hypotheses suggest that weight loss and cachexia can be linked to adverse outcomes including cardiomyopathy, arrhythmias, sudden death and poor outcomes. Therefore, the survival benefit observed in obese ESRD patients can at least partly be derived from mechanisms that protect against inefficient energy utilization, cachexia and protein-energy wasting. Given that in ESRD patients, treatment of traditional risk factors has failed to alter outcomes, detailed translational studies of the obesity paradox may help identify innovative pathways that can be targeted to improve survival. We have reviewed recent clinical evidence detailing the association of BMI with outcomes in patients with chronic kidney disease, including ESRD, and discuss potential mechanisms underlying the obesity paradox with potential for clinical applicability.

Indexed as

Translational Research, BiomedicalAdipose TissueAdiposityAnimalsCachexiaEnergy MetabolismHealth StatusHemodynamicsHumansKidneyKidney Failure, ChronicObesityPrognosisProtective FactorsRenal Insufficiency, ChronicRisk FactorsBody mass indexCachexiaChronic kidney diseaseEnd stage renal diseaseMortalityObesityObesity paradox

Identifiers

PMID29981348
PMCPMC6131022
OpenAlexW2810185177

What OpenQuestion holds

Textmetadata
LicenceTDM
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.