Evidence map›Paper›PMID 40707830›Full record

ArticleJournal of pharmacokinetics and pharmacodynamics2025

Quantifying clinical and genetic factors influencing rate and severity of autosomal dominant tubulointerstitial kidney disease progression.

Shyam S Ramesh, Mark Rogge, Kendrah O Kidd, Adrienne H Williams, Deok Yong Yoon, Julie Roignot, Katherine Blakeslee, Anthony J Bleyer, Sarah Kim

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of pharmacokinetics and pharmacodynamics, 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

9 authors.

Shyam S RameshDepartment of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, 6550 Sanger Road, Orlando, FL, USA.
Mark RoggeDepartment of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, 6550 Sanger Road, Orlando, FL, USA.ORCID 0000-0002-7632-5851
Kendrah O KiddSection on Nephrology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.ORCID 0000-0003-3771-0949
Adrienne H WilliamsSection on Nephrology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Deok Yong YoonDepartment of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, 6550 Sanger Road, Orlando, FL, USA.
Julie RoignotSail Bio, Inc., Cambridge, MA, USA.
Katherine BlakesleeSail Bio, Inc., Cambridge, MA, USA.
Anthony J BleyerSection on Nephrology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Sarah KimDepartment of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, 6550 Sanger Road, Orlando, FL, USA. sarahkim@cop.ufl.edu.ORCID 0000-0002-9179-0735

Funding

Sail Bio, Inc. P0270000
6 · The paper itself

Abstract

Autosomal dominant tubulointerstitial kidney disease (ADTKD), caused by mutations in UMOD and MUC1 genes, leads to tubular damage and fibrosis, ultimately resulting in kidney failure (KF). This study investigated clinical and genetic factors influencing the rate and severity of ADTKD progression by developing quantitative models. An estimated glomerular filtration rate (eGFR) of 10 mL/min/1.73 m

Indexed as

Mucin-1Nephritis, InterstitialUromodulinAdultAgedDisease ProgressionFemaleGlomerular Filtration RateHumansLongitudinal StudiesMaleMiddle AgedMutationSeverity of Illness IndexYoung AdultMUC1 protein, humanMucin-1UMOD protein, humanUromodulinBaseline characteristicsDisease progression modeleGFRRare kidney disease

Identifiers

PMID40707830
PMCPMC12289749

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.