Article in JAMIA open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing 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.
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
19 authors.
Chuan-Heng HsiaoFetal-Neonatal Neuroimaging Developmental Science Center, Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, United States.ORCID https://orcid.org/0000-0002-5211-3002
Anna N FosterFetal-Neonatal Neuroimaging Developmental Science Center, Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, United States.ORCID https://orcid.org/0000-0002-1838-7237
Rutvi VyasFetal-Neonatal Neuroimaging Developmental Science Center, Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, United States.ORCID https://orcid.org/0000-0001-7177-0721
Aseelah AshrafFetal-Neonatal Neuroimaging Developmental Science Center, Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, United States.ORCID https://orcid.org/0009-0000-1277-4423
Rina BaoFetal-Neonatal Neuroimaging Developmental Science Center, Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, United States.ORCID https://orcid.org/0000-0003-2367-2590
Lena TranFetal-Neonatal Neuroimaging Developmental Science Center, Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, United States.
Ankush KesriFetal-Neonatal Neuroimaging Developmental Science Center, Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, United States.ORCID https://orcid.org/0009-0003-4814-074X
Erfan DarzidehkalaniFetal-Neonatal Neuroimaging Developmental Science Center, Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, United States.ORCID https://orcid.org/0000-0002-6003-0119
Matheus D SoldatelliFetal-Neonatal Neuroimaging Developmental Science Center, Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, United States.ORCID https://orcid.org/0000-0002-1544-4398
Jeanette O AumanRTI International, Research Triangle Park, NC 27709, United States.
Lina F ChalakDivision of Neonatal-Perinatal Medicine, Department of Pediatrics, Department of Psychiatry, University of Texas Southwestern Medical Center at Dallas, Dallas, TX 75390, United States.
C Michael CottenDepartment of Pediatrics, Duke University School of Medicine, Durham, NC 27710, United States.
P Ellen GrantFetal-Neonatal Neuroimaging Developmental Science Center, Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, United States.ORCID https://orcid.org/0000-0003-1005-4013
Yangming OuFetal-Neonatal Neuroimaging Developmental Science Center, Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, United States.ORCID https://orcid.org/0000-0002-7726-6208
Consortium Of MRI Biomarkers In Neonatal Encephalopathy (COMBINE)
Funding
Neonatal Research Network Data Coordinating Center (DCC) 2023-2028U24HD095254 · NICHD · RESEARCH TRIANGLE INSTITUTE · PI Abhik Das · 2018 to 2026
$70.2M
Data Ctr for the Cooperative Neonatal Research NetworkU01HD036790 · NICHD · RESEARCH TRIANGLE INSTITUTE · PI DAS, ABHIK · 1998 to 2007
$21.8M
Consortium Of MRI Biomarkers In Neonatal Encephalopathy (COMBINE)R33NS126792 · NINDS · BOSTON CHILDREN'S HOSPITAL · PI CHARLES Michael COTTEN, Patricia Ellen Grant · 2025 to 2026
Objectives: To develop a data harmonization framework for neonatal hypoxic-ischemic encephalopathy (HIE) studies and demonstrate its suitability for prognostic biomarker development. Materials and Methods: Variables were first categorized by chronological stages and then by medical topics. We created a dictionary to harmonize variable names and value coding. We began by merging comprehensive data from 2 landmark nationwide therapeutic hypothermia for HIE trials (2008-2016, 21 sites) in the Results: We created a dictionary of 1181 variables on 532 patients across 5 chronologic categories and 60 medical subcategories. The distribution of major predictive and outcome variables, and the variables strongly associated with neurodevelopmental outcomes at 18-22 months were presented. The modified Sarnat scores at the Post-intervention and NICU-discharge stage, and the NRN pattern of MRI injury score showed strong associations with outcome variables. Conclusion: We designed a data harmonization framework specifically for HIE. Our initial effort in merging 2 iconic clinical trials shows strong predictor-outcome associations, allowing subsequent development of advanced prognostic biomarkers of neonatal HIE.
Indexed as
biomarker developmentcommon data elementsdata harmonization frameworkhypoxic-ischemic encephalopathy
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.
Data harmonization framework for neonatal hypoxic-ischemic encephalopathy studies. · full record | OpenQuestion