Evidence map›Paper›PMID 27629376›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2016

Generation and validation of a universal perinatal database and biospecimen repository: PeriBank.

K M Antony, P Hemarajata, J Chen, J Morris, C Cook, D Masalas, M Gedminas, A Brown, J Versalovic, K Aagaard

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Journal of perinatology : official journal of the California Perinatal Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. High-mobility group box 1 at the time of parturition in women with gestational diabetes mellitus.American journal of reproductive immunology (New York, N.Y. : 1989) · 2019
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  7. Machine learning-enhanced surface-enhanced spectroscopic detection of polycyclic aromatic hydrocarbons in the human placenta.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  9. Agnostic identification of plasma biomarkers for postpartum hemorrhage risk.American journal of obstetrics and gynecology · 2025
    Article
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  13. Fetal sexual dimorphism and preeclampsia among twin pregnancies.medRxiv : the preprint server for health sciences · 2023
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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

10 authors.

K M AntonyDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA.
P HemarajataDepartment of Pathology, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA.
J ChenDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA.
J MorrisDepartment of Pathology, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA.
C CookDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA.
D MasalasMedSciNet, Stockholm, Sweden.
M GedminasMedSciNet, Stockholm, Sweden.
A BrownDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA.
J VersalovicDepartment of Pathology, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA.
K AagaardDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThere is a dearth of biospecimen repositories available to perinatal researchers. In order to address this need, here we describe the methodology used to establish such a resource. STUDY

designWith the collaboration of MedSci.net, we generated an online perinatal database with 847 fields of clinical information. Simultaneously, we established a biospecimen repository of the same clinical participants.

resultsThe demographic and clinical outcomes data are described for the first 10 000 participants enrolled. The demographic characteristics are consistent with the demographics of the delivery hospitals. Quality analysis of the biospecimens reveals variation in very few analytes. Furthermore, since the creation of PeriBank, we have demonstrated validity of the database and tissue integrity of the biospecimen repository.

conclusionHere we establish that the creation of a universal perinatal database and biospecimen collection is not only possible, but allows for the performance of state-of-the-science translational perinatal research and is a potentially valuable resource to academic perinatal researchers.

Indexed as

PerinatologyBiological Specimen BanksDatabase Management SystemsDatabases, FactualHumansSpecimen Handling

Identifiers

PMID27629376

What OpenQuestion holds

Textmetadata
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.