Evidence map›Paper›PMID 40254358›Full record

ArticleKidney international2025

Progress, challenges, and pragmatic concessions in predicting relative risk of kidney survival in ARPKD.

Derek K Ng, Matthew B Matheson, Erum A Hartung

Registry-linked trialAbstract read
In one paragraph

Article in Kidney international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00327860 (Chronic Kidney Disease in Children Prospective Cohort Study), which is not on this 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.

NCT00327860 recruitingnot on this map

Chronic Kidney Disease in Children Prospective Cohort Study (CKiD)

TypeobservationalSponsorJohns Hopkins Bloomberg School of Public HealthRan2003 to 2028Enrolled1,300ConditionsChronic Kidney Disease
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.

Derek K NgDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA; Division of Nephrology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. Electronic address: dng@jhu.edu.
Matthew B MathesonDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Erum A HartungDivision of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA; Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Funding

Chronic Kidney Disease in Children Study (C-Kid)U01DK066174 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI SUSAN L. FURTH · 2003 to 2026
$25.1M
CKiD Cardiovascular Testing Travel SupplementU01DK066143 · NIDDK · CHILDREN'S MERCY HOSP (KANSAS CITY, MO) · PI Bradley Alan Warady · 2003 to 2026
$24.2M
The Kidney Disease in Children Data Management and Analysis Center (KIDMAC)U24DK066116 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI Derek K Ng · 2018 to 2026
$12.6M
Imaging Assessments of ARPKD Kidney Disease ProgressionR01DK114425 · NIDDK · CLEVELAND CLINIC LERNER COM-CWRU · PI KATHERINE MACRAE DELL, Christopher A Flask · 2019 to 2026
$2.8M
Multi-parametric MRI of ARPKD liver diseaseR03DK127132 · NIDDK · CHILDREN'S HOSP OF PHILADELPHIA · PI HARTUNG, ERUM AFTAB · 2021 to 2022
$252k
FDA HHS R01 FD008225NIDDK NIH HHS R01 DK114425NIDDK NIH HHS R03 DK127132NIDDK NIH HHS U01 DK066143NIDDK NIH HHS U01 DK066174NIDDK NIH HHS U24 DK066116
6 · The paper itself

Abstract

Autosomal recessive polycystic kidney disease is rare, with heterogeneous disease progression toward kidney failure. Risk stratification tools are needed to identify patients at higher risk of progression. Burgmaier et al. developed a relative risk score model in the international ARPKD registry for children older than 2 months of age without kidney failure. Their regression-based model included 5 predictors and yielded a simple prognostic score that classified "lower-risk" and "higher-risk" groups. Discrimination separating these 2 groups was good, but there are potential future opportunities for absolute risk prediction. We discuss considerations for the interpretation of relative risk scores and external validation of prediction models in rare diseases like autosomal recessive polycystic kidney disease.

Indexed as

Polycystic Kidney, Autosomal RecessiveChildChild, PreschoolDisease ProgressionHumansInfantKidneyPrognosisRegistriesRisk AssessmentRisk Factors

Identifiers

PMID40254358
PMCPMC12101604

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.