Evidence mapPaperPMID 41280329Full record

ReviewCurrent research in physiology2025

Role of obesity in chronic kidney disease progression.

Austin Dada, Jing Ren, Yao Shi, Ravi Nistala

Abstract readReview
In one paragraph

Review in Current research in physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Austin DadaM3, University of Missouri School of Medicine, Columbia, MO, 65211, USA.
Jing RenDivision of Nephrology, Department of Medicine, University of Missouri School of Medicine, Columbia, MO, 65212, USA.
Yao ShiDivision of Nephrology, Department of Medicine, University of Missouri School of Medicine, Columbia, MO, 65212, USA.
Ravi NistalaDivision of Nephrology, Department of Medicine, University of Missouri School of Medicine, Columbia, MO, 65212, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a global health epidemic linked to numerous chronic disease conditions and consequences, including type 2 diabetes mellitus (T2DM), cardiovascular disease, chronic kidney disease (CKD) and premature mortality. CKD, which can progress to end stage renal disease (ESRD) and/or dialysis with limited treatment options beyond slowing its advancement, is increasingly being recognized as a result or consequence of obesity. This review examines the pathophysiological mechanisms connecting obesity to the development and progression of CKD, via a condition known as obesity related kidney disease (ORKD). Importantly, ORKD has a distinct set of pathophysiological lesions from diabetic nephropathy, as free fatty acid and triglyceride deposition in ORKD dominates over hyperglycemia-induced renal injury in the context of diabetes. Since T2DM is commonly associated with obesity, it is important to recognize ORKD as a distinct entity which likely needs a distinct approach towards its management. Although CKD is the end result of many pathophysiological processes including obesity, the process by which it develops in each condition is vastly different. By synthesizing current preclinical and clinical evidence, we highlight the role of obesity as a modifiable risk factor for CKD and explore obesity-targeted interventions that reduce hyperfiltration among potential strategies to reduce CKD incidence and delay progression to ESRD.

Indexed as

Chronic Kidney Disease (CKD)CKD progressionDisease mechanismsHyperfiltrationObesity Related Kidney Disease (ORKD)

Identifiers

PMID41280329
PMCPMC12634282

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.