Evidence mapPaperPMID 26791569Full record

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.

Peter Brocklehurst, INFANT Collaborative Group

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.4field-weighted citation impact, top 6% of its field
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

14 citing papers in PubMed, 36 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Artificial Intelligence: The Future of Obstetrics and Gynecology.Journal of obstetrics and gynaecology of India · 2018
    Article
  12. Article
  13. Article
  14. Segregation of Patients for Intrapartum Monitoring, using Robson's Classification.Journal of clinical and diagnostic research : JCDR · 2017
    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

2 authors at 1 institution in 1 country.

Peter BrocklehurstUCL EGA Institute for Women's Health, 74 Huntley Street, WC1E 6 AU, London, UK. p.brocklehurst@ucl.ac.uk.
INFANT Collaborative Group
University College London · GB

Funding

Department of Health 06/38/01
6 · The paper itself

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

Decision Support Systems, ClinicalLabor, ObstetricAdolescentAdultCardiotocographyClinical Decision-MakingClinical ProtocolsFemaleGestational AgeHeart Rate, FetalHumansObstetric Labor ComplicationsPregnancyPregnancy OutcomeYoung Adult

Identifiers

PMID26791569
PMCPMC4719576
OpenAlexW2287995382

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.