Evidence map›Paper›PMID 38524309›Full record

ArticleMethodsX2024

Construction of a comprehensive fetal monitoring database for the study of perinatal hypoxic ischemic encephalopathy.

Robert E Kearney, Yvonne W Wu, Johann Vargas-Calixto, Michael W Kuzniewicz, Marie-Coralie Cornet, Heather Forquer, Lawrence Gerstley, Emily Hamilton, Philip A Warrick

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in MethodsX, 2024. 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.

  1. Review
  2. Article
  3. Article
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

9 authors.

Robert E KearneyDepartment of Biomedical Engineering, Faculty of Medicine, McGill University, 3775 University Street, Montreal, Quebec, H3A 2B4, Canada.
Yvonne W WuDepartments of Neurology and Pediatrics, University of California, San Francisco, 675 Nelson Rising Lane, Ste 411, San Francisco, CA 94158, USA.
Johann Vargas-CalixtoDepartment of Biomedical Engineering, Faculty of Medicine, McGill University, 3775 University Street, Montreal, Quebec, H3A 2B4, Canada.
Michael W KuzniewiczDepartment of Pediatrics and Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612, USA.
Marie-Coralie CornetDepartment of Pediatrics, Benioff Children's Hospital, University of California San Francisco, 550 16th St, Floor 5, San Francisco, CA 94143, USA.
Heather ForquerDepartment of Pediatrics and Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612, USA.
Lawrence GerstleyKaiser Permanente, Division of Research, 2000 Broadway, Oakland, CA 94612, USA.
Emily HamiltonPeriGen Inc.100 Regency Forest Drive, Suite 200 Cary, North Carolina 27518, USA.
Philip A WarrickPeriGen Inc.100 Regency Forest Drive, Suite 200 Cary, North Carolina 27518, USA.

Funding

Maternal Antecedents and Electronic Fetal Monitoring in Term Asphyxia (MAESTRA)R01HD099216 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2024 to 2025
$1.0M
Maternal Chorioamnionitis and Hypoxic-Ischemic Encephalopathy: The MATCH StudyK23HD109684 · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2025 to 2025
$173k
NICHD NIH HHS K23 HD109684NICHD NIH HHS R01 HD099216
6 · The paper itself

Abstract

This article describes the methods used to build a large-scale database of more than 250,000 electronic fetal monitoring (EFM) records linked to a comprehensive set of clinical information about the infant, the mother, the pregnancy, labor, and outcome. The database can be used to investigate how birth outcome is related to clinical and EFM features. The main steps involved in building the database were: (1) Acquiring the raw EFM recording and clinical records for each birth. (2) Assigning each birth to an objectively defined outcome class that included normal, acidosis, and hypoxic-ischemic encephalopathy. (3) Removing all personal health information from the EFM recordings and clinical records. (4) Preprocessing the deidentified EFM records to eliminate duplicates, reformat the signals, combine signals from different sensors, and bridge gaps to generate signals in a format that can be readily analyzed. (5) Post-processing the repaired EFM recordings to extract key features of the fetal heart rate, uterine activity, and their relations. (6) Populating a database that links the clinical information, EFM records, and EFM features to support easy querying and retrieval. •A multi-step process is required to build a comprehensive database linking electronic temporal fetal monitoring signals to a comprehensive set of clinical information about the infant, the mother, the pregnancy, labor, and outcome.•The current database documents more than 250,000 births including almost 4,000 acidosis and 400 HIE cases. This represents more than 80% of the births that occurred in 15 Northern California Kaiser Permanente Hospitals between 2011-2019. This is a valuable resource for studying the factors predictive of outcome.•The signal processing code and schemas for the database are freely available. The database will not be permitted to leave Kaiser firewalls, but a process is in place to allow interested investigators to access it.

Indexed as

cardiotocography (CTG)ChildbirthConstruction of a Comprehensive Fetal Monitoring Database for the Study of Perinatal Hypoxic Ischemic EncephalopathyFetal heart rateFetal monitoringHypoxic-ischemic encephalopathyLabourNeonatal acidosisNeonatal encephalopathyUterine pressure

Identifiers

PMID38524309
PMCPMC10957432

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.