Evidence map›Paper›PMID 39990581›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Neonatal deep medullary venous thrombosis radiographic severity is associated with neurodevelopmental impairment.

Ria Pal, Gabrielle Russo Barsh, Ingrid Luo, Hisham Dahmoush, Sarah Lee, Elizabeth Mayne

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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.

Ria PalStanford University, Department of Neurology, Division of Child Neurology.ORCID 0000-0003-4330-9393
Gabrielle Russo BarshStanford University, Department of Neurology, Division of Child Neurology.
Ingrid LuoStanford University, Department of Medicine, Quantitative Sciences Unit.ORCID 0009-0005-6649-962X
Hisham DahmoushStanford University, Department of Radiology, Division of Pediatric Radiology.
Sarah LeeStanford University, Department of Neurology, Division of Child Neurology.ORCID 0000-0002-8821-6636
Elizabeth MayneStanford University, Department of Neurology, Division of Child Neurology.

Funding

Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
NCATS NIH HHS UL1 TR003142
6 · The paper itself

Abstract

Deep medullary vein thrombosis (DMVT) is an increasingly recognized etiology of neonatal brain injury, but remains poorly understood. Our study aimed to assess the association between MRI severity and neurodevelopmental impairment (NDI) in neonates with DMVT, and develop a novel MRI grading system that might inform clinical outcomes. We retrospectively reviewed relevant charts from infants admitted to our tertiary care hospital between January 1990 to March 2023, and evaluated clinical characteristics, MRI features, and neurodevelopmental assessments of this cohort. We developed and validated a simple MRI grading system based on injury severity, categorizing lesions into mild, moderate, or severe groups. Of the 63 neonates with a diagnosis of DMVT, 41 had moderate or severe MRI lesions; those patients were 24-fold more likely to experience NDI compared to those with mild injury (adjusted OR 24.3, 95% CI 4.7-180.2, p<0.001). Of the 52 infants with follow-up data, 40.4% developed NDI; MRI severity was the strongest predictor of impaired outcomes, independent of clinical factors including gestational age, Apgar score and seizures at presentation. Our findings suggest that this pragmatic MRI grading scheme may offer clinicians and researchers a valuable classification and prognostication tool.

Identifiers

PMID39990581
PMCPMC11844574

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.