ArticleThe Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association2025
Prediction of Preterm Birth among Infants with Orofacial Cleft Defects.
Article in The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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.
Who cites it
3 citing papers in PubMed, 3 citations in OpenAlex.
- Maternal Smoking and Preterm Birth Among Infants With Orofacial Clefts.The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association · 2026Article
- A head start: The relationship of placental factors to craniofacial and brain development.Developmental dynamics : an official publication of the American Association of Anatomists · 2025Review
- Nationwide Spatial Patterns and Maternal and Birth-Related Factors Associated with Orofacial Clefts in Brazil.International journal of environmental research and public health · 2025Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveTo develop risk prediction models for preterm birth among infants with orofacial clefts.
designData from the Texas Birth Defects Registry for infants with orofacial clefts born between 1999-2014 were used to develop preterm birth predictive models. Logistic regression was used to consider maternal and infant characteristics, and internal validation of the final model was performed using bootstrapping methods. The area under the curve (AUC) statistic was generated to assess model performance, and separate predictive models were built and validated for infants with cleft lip and cleft palate alone. Several secondary analyses were conducted among subgroups of interest.
settingState-wide, population-based Registry data. PATIENTS/
participants6774 infants with orofacial clefts born in Texas between 1999-2014. MAIN OUTCOME MEASURE(S): Preterm birth among infants with orofacial clefts.
resultsThe final predictive model performed modestly, with an optimism-corrected AUC of 0.67 among all infants with orofacial clefts. The optimism-corrected models for cleft lip (with or without cleft palate) and cleft palate alone had similar predictive capability, with AUCs of 0.66 and 0.67, respectively. Secondary analyses had similar results, but the model among infants with delivery prior to 32 weeks demonstrated higher optimism-corrected predictive capability (AUC = 0.74).
conclusionsThis study provides a first step towards predicting preterm birth risk among infants with orofacial clefts. Identifying pregnancies affected by orofacial clefts at the highest risk for preterm birth may lead to new avenues for improving outcomes among these infants.
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Registered trials
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.