Evidence map›Paper›PMID 42684404›Full record

GuidelineJournal of the American Society of Nephrology : JASN2026

Executive Summary of the ASN Kidney Health Guidance on the Cardiovascular‑Kidney‑Metabolic Syndrome.

Sankar D Navaneethan, Brian Rifkin, Amy K Mottl, on behalf of the ASN Kidney Health Workgroup on the Cardiovascular-Kidney-Metabolic Syndrome

Abstract readPractice Guideline
In one paragraph

Guideline in Journal of the American Society of Nephrology : JASN, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sankar D NavaneethanSection of Nephrology and Institute of Clinical and Translational Research, Baylor College of Medicine and Renal Section, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas.ORCID 0000-0002-4953-7795
Brian RifkinHattiesburg Clinic, Hattiesburg, Mississippi.ORCID 0000-0001-8395-3744
Amy K MottlDivision of Nephrology and Hypertension and UNC Kidney Center, University of North Carolina, Chapel Hill, North Carolina.ORCID 0000-0002-4258-1726
on behalf of the ASN Kidney Health Workgroup on the Cardiovascular-Kidney-Metabolic Syndrome

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key pointsThe cardiovascular‑kidney‑metabolic framework encourages routine assessment of cardiovascular risk, metabolic health, and kidney function. Cardiovascular risk equations should be used in patients with CKD to direct preventive therapies and promote coordination of care to optimize outcomes. Comprehensive therapy building upon foundational CKD management is essential to minimize treatment gaps and improve cardiovascular‑kidney‑metabolic outcomes. The recent release of the inaugural AHA/ACC/ADA/ASN Guideline for the Prevention, Detection, Evaluation, and Management of Cardiovascular-Kidney-Metabolic (CKM) Syndrome calls for health care professionals across disciplines to broaden their practice to include the full spectrum of these interconnected disease states. This ASN Kidney Health Guidance aims to unite the nephrology community in this effort, highlighting the central role kidney disease plays in CKM syndrome and providing CKD-specific considerations. CKD is often complicated by comorbid cardiovascular and metabolic diseases, and regular evaluation of patients should include screening and management across disease states. The Predicting Risk of Cardiovascular Disease EVENTs (PREVENT) equation should be integrated along with kidney outcome predictors for routine patient counseling and risk assessment. Lifestyle modifications, including regular physical activity, avoidance of tobacco products, and adoption of a healthy diet and sleep patterns, underpin CKM management. Both renin-angiotensin system inhibitors and sodium-glucose cotransporter 2 inhibitors are foundational therapies in CKD for the prevention of cardiovascular and kidney end points, and glucagon-like peptide-1-based therapies and nonsteroidal mineralocorticoid receptor antagonists may be added according to an individual patient's cardiovascular and metabolic risk profile. CKM therapies may be initiated simultaneously or in rapid sequence according to shared decision making, but therapeutic inertia must be avoided. Cardiovascular disease mitigation should also include lipid management for primary and secondary prevention. Evidence supporting the benefits of CKM treatments in people with glomerulonephritis, those with kidney transplant, those on dialysis with kidney failure treated with maintenance dialysis, pediatric populations, older adults, and those with frailty is limited. However, screening and diagnosis of CKM syndrome are critical, and these cardiokidney protective therapies may be used with shared decision making. Diabetes and obesity are extremely common in people living with kidney disease; both are major contributors to CKD progression. CKD poses a major risk of cardiovascular morbidity and mortality. Hence, nephrology team members should play a vital role in the diagnosis, treatment, and implementation of a holistic and multidisciplinary approach for the well-being of patients with kidney diseases. PODCAST: This article contains a podcast at https://dts.podtrac.com/redirect.mp3//www.asn-online.org/media/podcast/JASN/2026_09_02_KTS_September2026.mp3.

Indexed as

Cardiovascular DiseasesMetabolic SyndromeRenal Insufficiency, ChronicHumansRisk Assessmentcardiovascular diseasecardiovascularkidneymetabolic (CKM) syndromeCKDclinical nephrologydialysisglomerular diseaseskidney transplantation

Identifiers

PMID42684404
PMCPMC13641457

What OpenQuestion holds

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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.