Trial reportBMC pregnancy and childbirth2016
A study of an intelligent system to support decision making in the management of labour using the cardiotocograph - the INFANT study protocol.
Trial report in BMC pregnancy and childbirth, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
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
14 citing papers in PubMed, 36 citations in OpenAlex.
- Computerised interpretation of fetal heart rate during labour (INFANT): a randomised controlled trial.Lancet (London, England) · 2017Trial
- Patient and public involvement (PPI) reporting in maternal and neonatal clinical trials: an exploratory review.Trials · 2026Review
- Article
- Review
- Perinatal and Neonatal Outcomes Using Cardiotocography Versus STAN and Cardiotocography: a Systematic Review.Maedica · 2023Article
- A Comprehensive Review of the Role of Artificial Intelligence in Obstetrics and Gynecology.Cureus · 2023Review
- Current developments in artificial intelligence from obstetrics and gynecology to urogynecology.Frontiers in medicine · 2023Review
- Machine learning applied in maternal and fetal health: a narrative review focused on pregnancy diseases and complications.Frontiers in endocrinology · 2023Review
- Artificial Intelligence: A New Paradigm in Obstetrics and Gynecology Research and Clinical Practice.Cureus · 2020Review
- Article
- Artificial Intelligence: The Future of Obstetrics and Gynecology.Journal of obstetrics and gynaecology of India · 2018Article
- Ethical challenges posed by clinical trials in preterm labor: a case study.Reproductive health · 2017Article
- Computerized Childbirth Monitoring Tools for Health Care Providers Managing Labor: A Scoping Review.JMIR medical informatics · 2017Article
- Segregation of Patients for Intrapartum Monitoring, using Robson's Classification.Journal of clinical and diagnostic research : JCDR · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
backgroundContinuous electronic fetal heart rate monitoring in labour is widely used but its potential for improving fetal and neonatal outcomes has not been realised. The most likely reason is the difficulty of interpreting the fetal heart rate trace correctly during labour. Computerised interpretation of the fetal heart rate and intelligent decision-support has the potential to deliver this improvement in care. This trial will test whether the addition of decision support software to aid the interpretation of the cardiotocogram (CTG) during labour will reduce the number of 'poor neonatal outcomes' in those women judged to require continuous electronic fetal heart rate monitoring. METHODS AND
designAn individually randomised controlled trial of 46,000 women who are judged to require continuous electronic fetal monitoring in labour. ELIGIBILITY CRITERIA: Women admitted to a participating labour ward who are judged to require continuous electronic fetal monitoring, have a singleton or twin pregnancy, are ≥ 35 weeks' gestation, have no known gross fetal abnormality and are ≥ 16 years of age. EXCLUSION CRITERIA: Triplets or higher order pregnancy, elective caesarean section prior to the onset of labour, planned admission to NICU. Trial interventions: Computerised interpretation of the CTG with decision-support. PRIMARY OUTCOMES: Short term: A composite of 'poor neonatal outcome' including stillbirth after trial entry, early neonatal death except deaths due to congenital anomalies, significant morbidity: neonatal encephalopathy, admissions to the neonatal unit with 48 h for > 48 h with evidence of feeding difficulties, respiratory illness or encephalopathy where there is evidence of compromise at birth. Long term: Developmental assessment at the age of 2 years in a subset of 7000 surviving babies. DATA COLLECTION: For all participating women and babies, labour variables and outcomes will be stored automatically and contemporaneously onto the Guardian® system. DISCUSSION: The results of this trial will have importance for pregnant women and for health professionals who provide care for them.
trial registrationCurrent Controlled Trials ISRCTN98680152 assigned 30.09.2008.
Indexed as
Identifiers
What Socratic holds
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.