Evidence map›Paper›PMID 41348488›Full record

ArticleKidney3602026

Predicting and Modeling Recovery Dynamics Post-Acute Kidney Injury: A Multicenter Study.

Qi Xu, Alan S L Yu, Ho Yin Chan, Sravani Chandaka, Abu Saleh Mohammad Mosa, A Jerrod Anzalone, Mahanaz Syed, Mei Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Kidney360, 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

8 authors.

Qi XuDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida.ORCID 0009-0000-1154-5098
Alan S L YuDivision of Nephrology and Hypertension and the Kidney Institute, University of Kansas Medical Center, Kansas City, Kansas.ORCID 0000-0002-1776-2533
Ho Yin ChanDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida.ORCID 0000-0002-7993-6607
Sravani ChandakaDepartment of Population Health, University of Kansas Medical Center, Kansas City, Kansas.
Abu Saleh Mohammad MosaDepartment of Biomedical Informatics and Data Science, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.ORCID 0000-0002-8956-1466
A Jerrod AnzaloneDepartment of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha, Nebraska.ORCID 0000-0002-3212-7845
Mahanaz SyedDepartment of Population Health Sciences, University of Texas Health Science Center at San Antonio, San Antonio, Texas.ORCID 0000-0002-8978-1565
Mei LiuDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida.ORCID 0000-0002-8036-2110

Funding

Personalized Machine Learning for Acute Kidney Injury Prediction and PrognosisR01DK137881 · NIDDK · UNIVERSITY OF FLORIDA · PI MEI LIU · 2024 to 2026
$817k
NIDDK NIH HHS R01 DK137881NIDDK NIH HHS R01DK137881
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AKIkidney diseaserenal functionrenal injury

Identifiers

PMID41348488
PMCPMC12935345

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.