Evidence map›Paper›PMID 36625779›Full record

ReviewPharmacotherapy2023

The MPRINT Hub Data, Model, Knowledge and Research Coordination Center: Bridging the gap in maternal-pediatric therapeutics research through data integration and pharmacometrics.

Sara K Quinney, Robert R Bies, Shaun J Grannis, Christopher W Bartlett, Eneida Mendonca, Colin M Rogerson, Carl H Backes, Dhaval K Shah, Emma M Tillman, Maged M Costantine and 9 more

Open access · hybridAbstract readReview
In one paragraph

Review in Pharmacotherapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
8.7field-weighted citation impact, top 2% of its field
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

13 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
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  13. Pharmacokinetics of Antidepressants in Pregnancy.Journal of clinical pharmacology · 2023
    Review
4 · The record

Corrections and comments

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 at 7 institutions in 3 countries.

Sara K QuinneyDepartment of Obstetrics and Gynecology, Indiana University School of Medicine, Indiana University, Indianapolis, Indiana, USA.ORCID 0000-0002-6554-0695
Robert R BiesDepartment of Pharmaceutical Sciences, University at Buffalo School of Pharmacy and Pharmaceutical Sciences, State University of New York at Buffalo, Buffalo, New York, USA.
Shaun J GrannisDepartment of Family Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Christopher W BartlettThe Steve & Cindy Rasmussen Institute for Genomic Medicine, Battelle Center for Computational Biology, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio, USA.
Eneida MendoncaDepartment of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Colin M RogersonDepartment of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Carl H BackesDivision of Neonatology, Nationwide Children's Hospital, Columbus, Ohio, USA.
Dhaval K ShahDepartment of Pharmaceutical Sciences, University at Buffalo School of Pharmacy and Pharmaceutical Sciences, State University of New York at Buffalo, Buffalo, New York, USA.
Emma M TillmanDivision of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indiana University, Indianapolis, Indiana, USA.ORCID 0000-0001-8019-9811
Maged M CostantineDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, The Ohio State University, Columbus, Ohio, USA.
Blessed W AruldhasDivision of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indiana University, Indianapolis, Indiana, USA.
Reva AllamDivision of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indiana University, Indianapolis, Indiana, USA.
Amelia GrantDivision of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indiana University, Indianapolis, Indiana, USA.
Mohammad Yaseen AbbasiDivision of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indiana University, Indianapolis, Indiana, USA.
Murugesh KandasamyDivision of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indiana University, Indianapolis, Indiana, USA.
Yong ZangCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Lei WangDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio, USA.
Aditi ShendreDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio, USA.
Lang LiDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio, USA.
Indiana University School of MedicineThe Ohio State University · USIndiana University Health · USNationwide Children's Hospital · USUniversity at Buffalo, State University of New York · USChristian Medical College, Vellore · INRegenstrief Institute · US

Funding

The Indiana University-Ohio State University Maternal and Pediatric Precision in Therapeutics Data, Model, Knowledge, and Research Coordination Center (IU-OSU MPRINT DMKRCC)P30HD106451 · NICHD · INDIANA UNIVERSITY INDIANAPOLIS · PI Lang Li, Sara K Quinney · 2021 to 2026
$24.1M
NICHD NIH HHS P30 HD106451
6 · The paper itself

Abstract

Maternal and pediatric populations have historically been considered "therapeutic orphans" due to their limited inclusion in clinical trials. Physiologic changes during pregnancy and lactation and growth and maturation of children alter pharmacokinetics (PK) and pharmacodynamics (PD) of drugs. Precision therapy in these populations requires knowledge of these effects. Efforts to enhance maternal and pediatric participation in clinical studies have increased over the past few decades. However, studies supporting precision therapeutics in these populations are often small and, in isolation, may have limited impact. Integration of data from various studies, for example through physiologically based pharmacokinetic/pharmacodynamic (PBPK/PD) modeling or bioinformatics approaches, can augment the value of data from these studies, and help identify gaps in understanding. To catalyze research in maternal and pediatric precision therapeutics, the Obstetric and Pediatric Pharmacology and Therapeutics Branch of the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) established the Maternal and Pediatric Precision in Therapeutics (MPRINT) Hub. Herein, we provide an overview of the status of maternal-pediatric therapeutics research and introduce the Indiana University-Ohio State University MPRINT Hub Data, Model, Knowledge and Research Coordination Center (DMKRCC), which aims to facilitate research in maternal and pediatric precision therapeutics through the integration and assessment of existing knowledge, supporting pharmacometrics and clinical trials design, development of new real-world evidence resources, educational initiatives, and building collaborations among public and private partners, including other NICHD-funded networks. By fostering use of existing data and resources, the DMKRCC will identify critical gaps in knowledge and support efforts to overcome these gaps to enhance maternal-pediatric precision therapeutics.

Indexed as

Models, BiologicalChildFemaleHumansIndianaOhioPregnancybioinformaticslactationobstetricpediatricpharmacometricspharmacotherapy

Identifiers

PMID36625779
PMCPMC10192201
OpenAlexW4315436118

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.