Evidence map›Paper›PMID 42559681›Full record

ReviewCurrent opinion in nephrology and hypertension2026

Are noninvasive measurements of nephron number achievable in humans?

Kevin M Bennett, Jennifer R Charlton, Edwin J Baldelomar

Abstract readReview
In one paragraph

Review in Current opinion in nephrology and hypertension, 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

3 authors.

Kevin M BennettMallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri.
Jennifer R CharltonDepartment of Pediatrics, Division of Nephrology, University of Virginia, Charlottesville, Virginia, USA.
Edwin J BaldelomarMallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri.

Funding

Improving the evaluation of high-risk deceased donor kidneys for transplantationR01DK144020 · NIDDK · WASHINGTON UNIVERSITY · PI Kevin M Bennett, Jennifer R Charlton · 2026 to 2026
$767k
NIDDK NIH HHS R01 DK144020
6 · The paper itself

Abstract

purpose of the reviewThis review summarizes recent pivotal studies demonstrating the importance of nephron number as a potential clinical marker of kidney health, and highlights technological advances aimed at facilitating the clinical measurement of nephron number in vivo in individuals. Finally, we summarize clinical applications in which measurements of nephron number will likely lead to improved patient care, and discuss challenges to the deployment of technologies to measure nephron number in humans. RECENT

findingsRecent studies have demonstrated that nephron number is an important determinant of risk of kidney disease, and that it can be used to predict outcomes in large patient cohorts. However, there are currently no clinical tools to measure nephron number noninvasively in humans. Several new technologies have now demonstrated that nephron number can be measured in vivo . With further development, these technologies have the strong potential for translation to general use in humans, suggesting that clinical measurements of nephron number will be available in the near future. SUMMARY: New technologies are now emerging that are likely to enable the noninvasive measurement of nephron number in humans. These technologies are supported by a growing understanding of the importance of nephron number in kidney health and risk of kidney disease.

Indexed as

Kidney DiseasesNephronsAnimalsHumansPredictive Value of TestsTomography, X-Ray ComputedCTimagingkidney diseaseMRInephron number

Identifiers

PMID42559681
PMCPMC13505275

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.