Evidence map›Paper›PMID 41845283›Full record

ArticleBMC pediatrics2026

Development and validation of the Prognostic Respiratory Intensity Scoring Metric (PRISM).

Madelyn G Nance, Carrington S Davis, Zoe G Kitchings, Chad Aldridge, Santina Zanelli, Jennifer Burnsed, Meghan H Puglia

Abstract readValidation Study
In one paragraph

Article in BMC pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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4 · The record

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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

7 authors.

Madelyn G NanceDepartment of Neurology, University of Virginia, 560 Ray C. Hunt Drive, Charlottesville, VA, 22903, USA.
Carrington S Davis *Department of Neurology, University of Virginia, 560 Ray C. Hunt Drive, Charlottesville, VA, 22903, USA.
Zoe G Kitchings *Department of Neurology, University of Virginia, 560 Ray C. Hunt Drive, Charlottesville, VA, 22903, USA.
Chad AldridgeDepartment of Neurology, University of Virginia, 560 Ray C. Hunt Drive, Charlottesville, VA, 22903, USA.
Santina ZanelliDepartment of Pediatrics, University of Virginia, Charlottesville, VA, USA.
Jennifer BurnsedDepartment of Pediatrics, University of Virginia, Charlottesville, VA, USA.
Meghan H PugliaDepartment of Neurology, University of Virginia, 560 Ray C. Hunt Drive, Charlottesville, VA, 22903, USA. mhm8yp@virginia.edu.

Funding

Temperodynamic neural variability as an early-emerging biomarker of autism spectrum disordersK01MH125173 · NIMH · UNIVERSITY OF VIRGINIA · PI PUGLIA, MEGHAN H · 2021 to 2025
$914k
NIMH NIH HHS K01MH125173
6 · The paper itself

Abstract

aimsInvasive respiratory interventions save infant lives, yet have negative consequences for their health and neurodevelopment. Here we present the Prognostic Respiratory Intensity Scoring Metric (PRISM) as an accurate, summative tool of respiratory support needs in hospitalized neonates well suited for predicting an infant’s future neurodevelopmental outcomes.

methods218 (112 male) infants were included in this study. We trained a classification and regression tree model using PRISM scores to classify respiratory diagnoses, and compared performance to the Neonatal Sequential Organ Failure Assessment Respiratory subscore (nSOFA-r).

resultsPRISM outperforms the nSOFA-r in classifying infants with respiratory distress syndrome (PRISM AUC = 0.71, nSOFA-r AUC = 0.64) and chronic lung disease (PRISM AUC = 0.86, nSOFA-r AUC = 0.76). PRISM had significant associations with an infant’s length of hospital stay (β = 0.03 (95% CI [0.02, 0.03], p < 0.001) and gestational age (β = -0.03 (95% CI [-0.03, -0.02], p < 0.001). PRISM successfully identifies which infants will develop an intraventricular hemorrhage (83% accuracy) and retinopathy of prematurity (95% accuracy).

interpretationPRISM is a useful tool for clinicians and researchers alike to summarize the invasive nature of neonatal respiratory support.

Indexed as

Respiration, ArtificialRespiratory Distress Syndrome, NewbornSeverity of Illness IndexFemaleGestational AgeHumansInfant, NewbornInfant, PrematureLength of StayMalePrognosisNeonatal Respiratory SupportNeurodevelopmental OutcomesPredictive ModellingRespiratory Distress

Identifiers

PMID41845283
PMCPMC13107833

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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.