Evidence mapPaperPMID 39885336Full record

ReviewNature reviews. Nephrology2025

Risk-directed management of chronic kidney disease.

Matthew F Blum, Brendon L Neuen, Morgan E Grams

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  15. Microbiota-gut-kidney axis in health and renal disease.International journal of biological sciences · 2026
    Review
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  17. Article
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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

3 authors.

Matthew F BlumUniversity of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Brendon L NeuenThe George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.
Morgan E GramsNew York University Grossman School of Medicine, New York, NY, USA. Morgan.Grams@nyulangone.org.ORCID http://orcid.org/0000-0002-4430-6023

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The timely and rational institution of therapy is a key step towards reducing the global burden of chronic kidney disease (CKD). CKD is a heterogeneous entity with varied aetiologies and diverse trajectories, which include risk of kidney failure but also cardiovascular events and death. Developments in the past decade include substantial progress in CKD risk prediction, driven in part by the accumulation of electronic health records data. In addition, large randomized clinical trials have demonstrated the effectiveness of sodium-glucose co-transporter 2 inhibitors, glucagon-like peptide 1 receptor agonists and mineralocorticoid receptor antagonists in reducing adverse events in CKD, greatly expanding the options for effective therapy. Alongside angiotensin-converting enzyme inhibitors and angiotensin receptor blockers, these classes of medication have been proposed to be the four pillars of CKD pharmacotherapy. However, all of these drug classes are underutilized, even in individuals at high risk. Leveraging prognostic estimates to guide therapy could help clinicians to prescribe CKD-related therapies to those who are most likely to benefit from their use. Risk-based CKD management thus aligns patient risk and care, allowing the prioritization of absolute benefit in determining therapeutic selection and timing. Here, we discuss CKD prognosis tools, evidence-based management and prognosis-guided therapies.

Indexed as

Renal Insufficiency, ChronicAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsGlucagon-Like Peptide-1 Receptor AgonistsHumansMineralocorticoid Receptor AntagonistsRisk AssessmentRisk FactorsSodium-Glucose Transporter 2 InhibitorsAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsGlucagon-Like Peptide-1 Receptor AgonistsMineralocorticoid Receptor AntagonistsSodium-Glucose Transporter 2 Inhibitors

Identifiers

What Socratic 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 Socratic graph.