The preterm birth syndrome: issues to consider in creating a classification system
Open accessAbstract
A comprehensive classification system for preterm birth requires expanded gestational boundaries that recognize the early origins of preterm parturition and emphasize fetal maturity over fetal age. Exclusion of stillbirths, pregnancy terminations, and multifetal gestations prevents comprehensive consideration of the potential causes and presentations of preterm birth. Any step in parturition (cervical softening and ripening, decidual-membrane activation, and/or myometrial contractions) may initiate preterm parturition, and should be recorded for every preterm birth, as should the condition of the mother, fetus, newborn, and placenta, before a phenotype is assigned.
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Automatic computer-assisted diagnosis reduces errors caused by subjective judgment and provides a standardization tool to improve diagnosis efficiency.
“Automatic computer-assisted diagnosis not only reduces errors caused by subjective judgment [8] but also provides an attractive and meaningful standardization tool [9 -11] to improve the ef fi ciency of diagnosis.”
From DilatedFormer: dilated granularity transformer network for placental maturity grading in ultrasound (2023) · cites this paper as [9]
The paper’s sections on creating a preterm-birth classification system and on classification by phenotype discuss how births should be categorized, not automatic computer-assisted diagnosis. Searches for subjective-judgment errors and diagnostic efficiency found no passage in our copy addressing those claims. (LLM, conf=0.77)
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- Authors
- Goldenberg, R. L., Gravett, M. G., Iams, J., Papageorghiou, A. T., Waller, S. A., Kramer, M., Culhane, J., Barros, F., Conde-Agudelo, A., Bhutta, Z. A., Knight, H. E., & Villar, J.
- Affiliations
- Drexel University (US)
- University of Washington (US)
- The Ohio State University Wexner Medical Center (US)
- University of Oxford (GB)
- McGill University (CA)
- University of Pennsylvania (US)
- Universidade Católica de Pelotas (BR)
- Aga Khan University (PK)
- ORCID
- Venue
- American Journal of Obstetrics and Gynecology
- Publisher
- Elsevier BV
- Published
- 2012-02
- Volume
- 206
- Issue
- 2
- Pages
- 113-118
- ISSN
- 0002-9378 (ISSN-L)
- OpenAlex
- W1974716010
- Cited by
- 235
- References
- 44
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 24 · 2023: 13 · 2022: 17 · 2021: 18 · 2020: 20 · 2019: 18 · 2018: 21 · 2017: 13 · 2016: 22 · 2015: 13 · 2014: 18 · 2013: 16 · 2012: 9
- FWCI
- 1.69
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- American Journal of Obstetrics and Gynecology (publishedVersion)
- PubMed (publishedVersion)
- eCommons - AKU (Aga Khan University) (submittedVersion)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (submittedVersion)
- Funders
- Bill and Melinda Gates Foundation (49038)
- Topics
- Health Sciences › Medicine › Epidemiology › Preterm Birth and Chorioamnionitis
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Infant Development and Preterm Care
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Neonatal Respiratory Health Research
- Keywords
- preterm birth, gestational age, fetal maturity, cervical ripening, myometrial contraction, multiple pregnancy, placenta
- MeSH terms
- Female, Humans, Infant, Newborn, Infant, Premature, Pregnancy, Parturition, Premature Birth, Stillbirth
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