Evidence map›Paper›PMID 37612004›Full record

ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2023

Erratum Regarding "Prediction of Mortality and Major Adverse Kidney Events in Critically Ill Patients With Acute Kidney Injury" [Am J Kidney Dis. 2023;81(1):36-47].

Abstract readPublished Erratum
In one paragraph

Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2023. 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

5 · Who and what money

Authors and funding

0 authors.

Funding

Artificial Intelligence to Predict Outcomes in Patients with Acute Kidney Injury on Continuous Renal Replacement TherapyR01DK133539 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Girish Nitin Nadkarni, Javier A. Neyra · 2023 to 2026
$2.6M
Artificial Intelligence to Predict Outcomes in Patients with Acute Kidney Injury on Continuous Renal Replacement TherapyR56DK126930 · NIDDK · UNIVERSITY OF KENTUCKY · PI NADKARNI, GIRISH NITIN, NEYRA, JAVIER A. · 2020 to 2020
$100k
NIDDK NIH HHS R01 DK133539NIDDK NIH HHS R56 DK126930
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID37612004
PMCPMC10558248

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.