Evidence map›Paper›PMID 42584659›Full record

ArticlePediatric nephrology (Berlin, Germany)2026

Reply to 'Can clinician preferences alone guide implementable CDS tool design to measure pediatric CKD risk after preterm birth?'

Keia Sanderson, Christine E Kistler, T Michael O'Shea, Jennifer E Flythe

Abstract readLetter
PubMed Publisher
In one paragraph

Article in Pediatric nephrology (Berlin, Germany), 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

4 authors.

Keia SandersonDepartment of Pediatrics, School of Medicine, University of North Carolina, Chapel Hill, NC, 27599, USA. Keia_Sanderson@med.unc.edu.ORCID http://orcid.org/0000-0001-7759-4220
Christine E KistlerDivision of Geriatric Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
T Michael O'SheaDepartment of Pediatrics, School of Medicine, University of North Carolina, Chapel Hill, NC, 27599, USA.
Jennifer E FlytheDivision of Nephrology and Hypertension, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA.

Funding

Machine Learning Risk Prediction of Kidney Disease After Extremely Preterm BirthK23DK131289 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SANDERSON, KEIA · 2023 to 2025
$602k
NIDDK NIH HHS K23DK131289NIDDK NIH HHS L30DK130155
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID42584659

What OpenQuestion 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 OpenQuestion graph.