Evidence map›Paper›PMID 37839688›Full record

ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2024

Precision Medicine in Nephrology: An Integrative Framework of Multidimensional Data in the Kidney Precision Medicine Project.

Tarek M El-Achkar, Michael T Eadon, Matthias Kretzler, Jonathan Himmelfarb, Kidney Precision Medicine Project

Abstract read
In one paragraph

Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  7. Special Issue: Recent Research on Hypertension and Related Complications.International journal of molecular sciences · 2026
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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

5 authors.

Tarek M El-AchkarDivision of Nephrology, School of Medicine, Indiana University, and Richard L. Roudebush Veteran Affairs Medical Center, Indianapolis, Indiana.
Michael T EadonDivision of Nephrology, School of Medicine, Indiana University, and Richard L. Roudebush Veteran Affairs Medical Center, Indianapolis, Indiana.
Matthias KretzlerDepartment of Computational Medicine & Bioinformatics, and Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
Jonathan HimmelfarbKidney Research Institute and Division of Nephrology, University of Washington, Seattle, Washington. Electronic address: himmej@uw.edu.
Kidney Precision Medicine Project

Funding

Central Hub for Kidney Precision MedicineU24DK114886 · NIDDK · UNIVERSITY OF WASHINGTON · PI Jonathan Himmelfarb, Matthias Kretzler · 2022 to 2026
$21.1M
KPMP Kidney Mapping and Atlas Project (KMAP)U01DK133090 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jonathan Himmelfarb, Matthias Kretzler · 2022 to 2026
$10.4M
Integrated spatial interrogation of cellular and molecular signatures of human kidney diseaseU01DK114923 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI Tarek Maurice Ashkar, Pierre C Dagher · 2022 to 2026
$5.4M
Boston Chronic Kidney Disease Research Biopsy CenterU01DK133092 · NIDDK · BOSTON MEDICAL CENTER · PI Sylvia E Rosas, Sushrut S. Waikar · 2022 to 2026
$3.5M
PREcision Medicine through IntErrogation of Rna in the kidnEy (PREMIERE)U01DK114907 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Nir Hacohen, Jeffrey Benton Hodgin · 2022 to 2026
$3.2M
University of Illinois at Chicago KPMP CKD Recruitment SiteU01DK133081 · NIDDK · UNIVERSITY OF ILLINOIS AT CHICAGO · PI JAMES P. LASH, Ana Catherine Ricardo · 2022 to 2026
$2.7M
Cleveland Precision Medicine Chronic Kidney Disease CohortU01DK114908 · NIDDK · CLEVELAND CLINIC LERNER COM-CWRU · PI JOHN F. O'TOOLE, EMILIO DANIEL POGGIO · 2022 to 2026
$2.2M
Geographic and Environmental Representation in Kidney Precision MedicineU01DK133095 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Frank C Brosius, Amy Mottl · 2022 to 2026
$2.1M
COVID and Translational Science supercomputer (CATS)S10OD030463 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2021 to 2021
$2.0M
Deep learning and topological approaches to identify kidney tissue features associated with adverse outcomes after nephrectomyR21DK126329 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BITZER, MARKUS, SHEDDEN, KERBY · 2021 to 2022
$429k
NIDDK NIH HHS R21 DK126329NIDDK NIH HHS U01 DK114907NIDDK NIH HHS U01 DK114908NIDDK NIH HHS U01 DK114923NIDDK NIH HHS U01 DK133081NIDDK NIH HHS U01 DK133090NIDDK NIH HHS U01 DK133092NIDDK NIH HHS U01 DK133095NIDDK NIH HHS U24 DK114886NIH HHS S10 OD030463
6 · The paper itself

Abstract

Chronic kidney disease (CKD) and acute kidney injury (AKI) are heterogeneous syndromes defined clinically by serial measures of kidney function. Each condition possesses strong histopathologic associations, including glomerular obsolescence or acute tubular necrosis, respectively. Despite such characterization, there remains wide variation in patient outcomes and treatment responses. Precision medicine efforts, as exemplified by the Kidney Precision Medicine Project (KPMP), have begun to establish evolving, spatially anchored, cellular and molecular atlases of the cell types, states, and niches of the kidney in health and disease. The KPMP atlas provides molecular context for CKD and AKI disease drivers and will help define subtypes of disease that are not readily apparent from canonical functional or histopathologic characterization but instead are appreciable through advanced clinical phenotyping, pathomic, transcriptomic, proteomic, epigenomic, and metabolomic interrogation of kidney biopsy samples. This perspective outlines the structure of the KPMP, its approach to the integration of these diverse datasets, and its major outputs relevant to future patient care.

Indexed as

Acute Kidney InjuryNephrologyRenal Insufficiency, ChronicHumansKidneyPrecision MedicineProteomicsAcute kidney injurychronic kidney diseaseprecision medicine

Identifiers

PMID37839688
PMCPMC10922684

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.