Objective: The aim of this study was to assess research productivity on preterm birth (PTB) in Southeast Asian (SEA) countries and its correlation with socioeconomic characteristics and burden of disease. Methods: A systematic review of preterm birth publications by SEA authors indexed in Scopus, PubMed, ClinicalTrials. gov, and Cochrane was done. Case reports, cohorts, control trials, reviews and cost analysis studies done by SEA researches involving pathophysiology, diagnosis, management, and complications of preterm birth was included in the study while published letters to editors were excluded. The correlation of bibliometric indices, namely Scopus citations, and PlumX metrics indices (citations, usage, captures, mentions, and social media), with socioeconomic status and burden of preterm birth in SEA countries were analyzed by computing for the correlation coefficient (r) and p-value at an alpha of 0.05. Results: Thailand had the highest number of publications and the highest count across all bibliometric indices among all countries in SEA. The percent gross domestic product (GDP) per capita allotted for research and development (R & D) had direct correlation with publications and captures while crude birth rates had indirect correlation with publications, citations, and captures. Neonatal mortality had indirect correlation with publications and captures. Conclusion Support for research and development is essential to increase research productivity in SEA, which in turn may help in finding solutions to decrease the rate of preterm birth in the region.
Bibliometric Analysis ; Bibliometrics ; Preterm Birth ; Premature Birth ; Gross Domestic Product ; Asia, Southeastern

No abstract available.
Conization ; Premature Birth

No abstract available.
Animals ; Mice* ; Premature Birth*

No abstract available.
Epidemiology ; Premature Birth* ; Risk Factors

No abstract available.
Epidemiologic Studies* ; Gwangju* ; Premature Birth*

Preterm birth accounts to 35 % of deaths in a year. Twin gestation, around 7.2 per 1000 births in the Philippines, is a known risk factor that increases likelihood of preterm birth compared to singletons. Most studies that addresses preterm births are focused on singleton pregnancies. There have been no established recommendations to control preterm labor in twin pregnancies. Pessary insertion is among these recommendations. There are no reported cases of pessary insertion to control preterm birth among twins in the Philippines. This study presents a case of twin gestation in preterm labor and no functional cervix on transvaginal ultrasound. Hodge pessary was inserted at 28 weeks age of gestation. She delivered at 36 weeks to live baby girls, both 2,200 grams and were directly roomed-in. Further studies are recommended to establish stronger evidence supporting pessary use in multiple gestation to improve outcome of neonates.
Pessaries ; Premature Birth ; Obstetric Labor, Premature ; Pregnancy, Twin

No abstract available.
Humans ; Infant, Low Birth Weight* ; Infant, Newborn ; Pregnancy* ; Premature Birth*

Analysis of 1.701 cases of children mortality under 14 years old at 7 districts and Thai Binh city, from January 1998 to December 2000. The results: early neonatal mortality (< 7days) or a part of prenatal mortality accounted for 35.3%; neonatal mortality 41.6%, children mortality under 1 year old: 57.6%; children mortality under 5 years old: 83.5% compared with children mortality total under 14 years old. Children mortality rate under 1 year old was 13.22%o; Children mortality rate under 5 years old trended to decrease from 23.3%o (1998) to 17.5%o (2000). The main causes of children mortality was cerebral diseases, meninges diseases; respiratory diseases, cardiovascular disease; then some accidents as drowning, electric shock, traffic accident and the third was premature birth
Child ; Mortality ; Cerebral Arterial Diseases ; Premature Birth

Brain Injuries ; Humans ; Premature Birth ; Research

PURPOSE: The objective of the present study was to predict the gestational age at preterm birth using artificial neural networks for singleton pregnancy. METHODS: Artificial neural networks (ANNs) were used as a tool for the prediction of gestational age at birth. ANNs trained using obstetrical data of 125 cases, including 56 preterm and 69 non-preterm deliveries. Using a 36-variable obstetrical input set, gestational weeks at delivery were predicted by 89 cases of training sets, 18 cases of validating sets, and 18 cases of testing sets (total: 125 cases). After training, we validated the model by another 12 cases containing data of preterm deliveries. RESULTS: To define the accuracy of the developed model, we confirmed the correlation coefficient (R) and mean square error of the model. For validating sets, the correlation coefficient was 0.839, but R of testing sets was 0.892, and R of total 125 cases was 0.959. The neural networks were well trained, and the model predictions were relatively good. Furthermore, the model was validated with another dataset of 12 cases, and the correlation coefficient was 0.709. The error days were 11.58±13.73. CONCLUSION: In the present study, we trained the ANNs and developed the predictive model for gestational age at delivery. Although the prediction for gestational age at birth in singleton preterm birth was feasible, further studies with larger data, including detailed risk variables of preterm birth and other obstetrical outcomes, are needed.
Dataset ; Gestational Age ; Parturition ; Pregnancy ; Premature Birth