Evidence map›Paper›PMID 41000688›Full record

ArticlebioRxiv : the preprint server for biology2025

Comparing Neuroprotective Drug Efficacy in Rodent Neonatal Brain Injury Models.

John D E Barks, Yiqing Liu, Julie Sturza, Niko Kaciroti, William J Meurer, Faye S Silverstein

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

6 authors.

John D E BarksDepartment of Pediatrics, University of Michigan Medical School, The University of Michigan, Ann Arbor, MI.ORCID 0000-0003-1320-905X
Yiqing LiuDepartment of Pediatrics, University of Michigan Medical School, The University of Michigan, Ann Arbor, MI.
Julie SturzaDepartment of Pediatrics, University of Michigan Medical School, The University of Michigan, Ann Arbor, MI.
Niko KacirotiDepartment of Pediatrics, University of Michigan Medical School, The University of Michigan, Ann Arbor, MI.
William J MeurerDepartment of Neurology, University of Michigan Medical School, The University of Michigan, Ann Arbor, MI.
Faye S SilversteinDepartment of Pediatrics, University of Michigan Medical School, The University of Michigan, Ann Arbor, MI.

Funding

Metabolic Phenotyping in Live Models of Obesity and DiabetesU2CDK135066 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Nathan R. Qi · 2023 to 2026
$3.5M
Drug Repurposing to Accelerate Progress in Neonatal NeuroprotectionR21HD103869 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BARKS, JOHN D · 2021 to 2022
$429k
NICHD NIH HHS R21 HD103869NIDDK NIH HHS U2C DK135066
6 · The paper itself

Abstract

Background: A challenge in preclinical neonatal neuroprotection research is implementation of study designs that enable direct comparison of multiple potentially effective drugs. We used adaptive design to test four FDA approved drugs (azithromycin, erythropoietin, caffeine, melatonin) concurrently and determine which best combined safety and efficacy. Methods: Seven-day-old (P7) rats underwent hypoxia-ischemia (HI; right carotid ligation + timed 8% O Results: In all models either azithromycin or erythropoietin (EPO) offered superior neuroprotection at P21 and the other was "runner-up". Caffeine and melatonin conferred modest neuroprotection in pure HI but were quickly eliminated in hypothermia-treated HI. At P35 azithromycin and EPO outcomes were generally similar. Conclusion: These results support azithromycin or erythropoietin as candidate neuroprotective agents and warrant future studies in large animal neonatal cerebral hypoxia-ischemia models.

Identifiers

PMID41000688
PMCPMC12458383

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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.