ArticleJournal of perinatology : official journal of the California Perinatal Association2025
Prediction of site-specific pharmacologic therapy among newborns with neonatal opioid withdrawal syndrome.
Mara G Coyle, Songthip T Ounpraseuth, Barry Lester, Lynne M Dansereau, Zhuopei Hu, Abbot Laptook, Eunice Kennedy Shriver National Institute of Child Health and Human Development Neonatal Research Network and the NIH Environmental Influences on Child Health Outcomes (ECHO) Program Institutional Development Awards States Pediatric Clinical Trials Network
Article in Journal of perinatology : official journal of the California Perinatal Association, 2025. 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.
Songthip T OunpraseuthDepartment of Biostatistics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.ORCID http://orcid.org/0000-0001-5623-0444
Barry LesterDepartment of Pediatrics, Women and Infants Hospital, Providence, RI, USA.
Lynne M DansereauDepartment of Pediatrics, Women and Infants Hospital, Providence, RI, USA.
Zhuopei HuDepartment of Biostatistics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.ORCID http://orcid.org/0000-0002-4672-8270
Eunice Kennedy Shriver National Institute of Child Health and Human Development Neonatal Research Network and the NIH Environmental Influences on Child Health Outcomes (ECHO) Program Institutional Development Awards States Pediatric Clinical Trials Network
Funding
Project-005U2COD023375 · OD · DUKE UNIVERSITY · PI JUNFENG ZHANG · 2016 to 2026
$215.9M
Data Coordinating and Operations Center for the ECHO IDeA States Pediatric Clinical Trials NetworkU24OD024957 · OD · UNIV OF ARKANSAS FOR MED SCIS · PI COURTNEY, SHERRY, OUNPRASEUTH, SONGTHIP T. · 2016 to 2024
$80.8M
Neonatal Research Network Data Coordinating Center (DCC)U10HD036790 · NICHD · RESEARCH TRIANGLE INSTITUTE · PI DAS, ABHIK · 2008 to 2017
$62.3M
NICHD Cooperative Multicenter Neonatal Research NetworkU10HD027904 · NICHD · WOMEN AND INFANTS HOSPITAL-RHODE ISLAND · PI LAPTOOK, ABBOT R · 1991 to 2015
$8.7M
IMproving Pediatric Access to Clinical Trials in Vermont (IMPACT VT)UG1OD024955 · OD · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI Kelly Jean Cowan, Leslie W Young · 2016 to 2026
$4.8M
MS-ISPCTN (Cycle 3)UG1OD024942 · OD · UNIVERSITY OF MISSISSIPPI MED CTR · PI Joseph Marc Majure · 2016 to 2026
$4.7M
Sunflower Pediatric Clinical Trials (SPeCTr 3.0)UG1OD024943 · OD · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Ann M Davis, BRIDGETTE L. JONES · 2016 to 2026
$4.7M
Rhode Island Child Clinical Trials CollaborativeUG1OD024951 · OD · RHODE ISLAND HOSPITAL · PI THOMAS H CHUN, PHYLLIS A. DENNERY · 2016 to 2026
$4.7M
UNM Pediatric Clinical Trial Sites in IDeA State Pediatric Clinical Trial NetworkUG1OD024947 · OD · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Jessie R. Maxwell, Hengameh H Raissy · 2016 to 2026
$4.6M
ISPCTN Pediatric Clinical Trials UnitUG1OD024946 · OD · DARTMOUTH-HITCHCOCK CLINIC · PI Tyler Hartman, Paul E. Palumbo · 2016 to 2026
$4.6M
The DE Nemours/duPont Hospital for Children IDeA States Pediatric Clinical Trials Network SiteUG1OD024958 · OD · NEMOURS CHILDREN'S HOSPITAL, DELAWARE · PI Robert E Akins, Thao-Ly Tam Phan-Vo · 2016 to 2026
$4.5M
Montana Pediatric Clinical Trials SiteUG1OD024952 · OD · UNIVERSITY OF MONTANA · PI Emily Hall, Erin O'Brien Semmens · 2016 to 2026
$4.4M
NICHD NIH HHS U10 HD027904NICHD NIH HHS U10 HD036790NICHD NIH HHS U10 HD053089NICHD NIH HHS UG1 HD021364NICHD NIH HHS UG1 HD027853NICHD NIH HHS UG1 HD068278NIH HHS U24 OD024957NIH HHS U2C OD023375NIH HHS UG1 OD024942NIH HHS UG1 OD024943NIH HHS UG1 OD024944NIH HHS UG1 OD024945NIH HHS UG1 OD024946NIH HHS UG1 OD024947NIH HHS UG1 OD024948NIH HHS UG1 OD024949NIH HHS UG1 OD024950NIH HHS UG1 OD024951NIH HHS UG1 OD024952NIH HHS UG1 OD024953NIH HHS UG1 OD024954NIH HHS UG1 OD024955NIH HHS UG1 OD024956NIH HHS UG1 OD024958NIH HHS UG1 OD024959U.S. Department of Health & Human Services | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) see below
6 · The paper itself
Abstract
objectiveTo predict pharmacotherapy for NOWS based on factors available shortly after birth. STUDY
designA multi-center, retrospective study of 1377 opioid exposed newborns between 2016 and 2017 dichotomized based on pharmacologic treatment (N = 665 treated, N = 712 not treated) was conducted. A multilevel mixed-effect logistic regression model that considered cluster effect from sites determined significant maternal and newborn factors associated with pharmacotherapy, which were combined in a nomogram to predict probability of treatment for infants at each participating site.
resultsFactors predictive of treatment were: no breastmilk (1.76, 1.30-2.39; p < 0.001), male sex (1.39, 1.05-1.83; p = 0.021), polysubstance exposure (1.53, 1.15-2.06; p = 0.004), inadequate prenatal care (1.51, 1.07-2.13; p < 0.018) and Methadone (6.08, 4.03-9.27; p < 0.001) or Buprenorphine (1.86, 1.29-2.69; p < 0.001). A site-specific nomogram provided the probability of treatment for individual newborns.
conclusionSix factors available shortly after birth can be combined to predict site-specific use of medication for NOWS. If confirmed, the nomogram may identify at-risk newborns.
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.
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