Evidence map›Paper›PMID 33824144›Full record

SynthesisCMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne2021

Effectiveness of intrapartum fetal surveillance to improve maternal and neonatal outcomes: a systematic review and network meta-analysis.

Bassel H Al Wattar, Emma Honess, Sarah Bunnewell, Nicky J Welton, Siobhan Quenby, Khalid S Khan, Javier Zamora, Shakila Thangaratinam

Open access · goldAbstract readSystematic ReviewNetwork Meta-Analysis
In one paragraph

Synthesis in CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 3% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
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  6. Observational
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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

8 authors at 7 institutions in 2 countries.

Bassel H Al WattarWarwick Medical School (Al Wattar, Honess, Bunnewell, Quenby), University of Warwick, Coventry, UK; Reproductive Medicine Unit (Al Wattar), University College London Hospitals, London, UK; Population Health Sciences (Welton), Bristol Medical School, University of Bristol, Bristol, UK; University Hospital of Coventry and Warwickshire (Quenby), Coventry, UK; Department of Preventive Medicine and Public Health (Khan), University of Granada, Granada, Spain; Clinical Biostatistics Unit, Ramon y Cajal Hospital (IRYCIS) and CIBER Epidemiology and Public Health (Khan, Zamora), Madrid, Spain; CIBER of Epidemiology and Public Health (CIBERESP) (Zamora), Madrid, Spain; WHO Collaborating Centre for Global Women's Health, Institute of Metabolism and Systems Research (Thangaratinam), University of Birmingham; Birmingham Women's and Children's NHS Foundation Trust (Thangaratinam), Birmingham, UK dr.basselwa@gmail.com.
Emma HonessWarwick Medical School (Al Wattar, Honess, Bunnewell, Quenby), University of Warwick, Coventry, UK; Reproductive Medicine Unit (Al Wattar), University College London Hospitals, London, UK; Population Health Sciences (Welton), Bristol Medical School, University of Bristol, Bristol, UK; University Hospital of Coventry and Warwickshire (Quenby), Coventry, UK; Department of Preventive Medicine and Public Health (Khan), University of Granada, Granada, Spain; Clinical Biostatistics Unit, Ramon y Cajal Hospital (IRYCIS) and CIBER Epidemiology and Public Health (Khan, Zamora), Madrid, Spain; CIBER of Epidemiology and Public Health (CIBERESP) (Zamora), Madrid, Spain; WHO Collaborating Centre for Global Women's Health, Institute of Metabolism and Systems Research (Thangaratinam), University of Birmingham; Birmingham Women's and Children's NHS Foundation Trust (Thangaratinam), Birmingham, UK.
Sarah BunnewellWarwick Medical School (Al Wattar, Honess, Bunnewell, Quenby), University of Warwick, Coventry, UK; Reproductive Medicine Unit (Al Wattar), University College London Hospitals, London, UK; Population Health Sciences (Welton), Bristol Medical School, University of Bristol, Bristol, UK; University Hospital of Coventry and Warwickshire (Quenby), Coventry, UK; Department of Preventive Medicine and Public Health (Khan), University of Granada, Granada, Spain; Clinical Biostatistics Unit, Ramon y Cajal Hospital (IRYCIS) and CIBER Epidemiology and Public Health (Khan, Zamora), Madrid, Spain; CIBER of Epidemiology and Public Health (CIBERESP) (Zamora), Madrid, Spain; WHO Collaborating Centre for Global Women's Health, Institute of Metabolism and Systems Research (Thangaratinam), University of Birmingham; Birmingham Women's and Children's NHS Foundation Trust (Thangaratinam), Birmingham, UK.
Nicky J WeltonWarwick Medical School (Al Wattar, Honess, Bunnewell, Quenby), University of Warwick, Coventry, UK; Reproductive Medicine Unit (Al Wattar), University College London Hospitals, London, UK; Population Health Sciences (Welton), Bristol Medical School, University of Bristol, Bristol, UK; University Hospital of Coventry and Warwickshire (Quenby), Coventry, UK; Department of Preventive Medicine and Public Health (Khan), University of Granada, Granada, Spain; Clinical Biostatistics Unit, Ramon y Cajal Hospital (IRYCIS) and CIBER Epidemiology and Public Health (Khan, Zamora), Madrid, Spain; CIBER of Epidemiology and Public Health (CIBERESP) (Zamora), Madrid, Spain; WHO Collaborating Centre for Global Women's Health, Institute of Metabolism and Systems Research (Thangaratinam), University of Birmingham; Birmingham Women's and Children's NHS Foundation Trust (Thangaratinam), Birmingham, UK.
Siobhan QuenbyWarwick Medical School (Al Wattar, Honess, Bunnewell, Quenby), University of Warwick, Coventry, UK; Reproductive Medicine Unit (Al Wattar), University College London Hospitals, London, UK; Population Health Sciences (Welton), Bristol Medical School, University of Bristol, Bristol, UK; University Hospital of Coventry and Warwickshire (Quenby), Coventry, UK; Department of Preventive Medicine and Public Health (Khan), University of Granada, Granada, Spain; Clinical Biostatistics Unit, Ramon y Cajal Hospital (IRYCIS) and CIBER Epidemiology and Public Health (Khan, Zamora), Madrid, Spain; CIBER of Epidemiology and Public Health (CIBERESP) (Zamora), Madrid, Spain; WHO Collaborating Centre for Global Women's Health, Institute of Metabolism and Systems Research (Thangaratinam), University of Birmingham; Birmingham Women's and Children's NHS Foundation Trust (Thangaratinam), Birmingham, UK.
Khalid S KhanWarwick Medical School (Al Wattar, Honess, Bunnewell, Quenby), University of Warwick, Coventry, UK; Reproductive Medicine Unit (Al Wattar), University College London Hospitals, London, UK; Population Health Sciences (Welton), Bristol Medical School, University of Bristol, Bristol, UK; University Hospital of Coventry and Warwickshire (Quenby), Coventry, UK; Department of Preventive Medicine and Public Health (Khan), University of Granada, Granada, Spain; Clinical Biostatistics Unit, Ramon y Cajal Hospital (IRYCIS) and CIBER Epidemiology and Public Health (Khan, Zamora), Madrid, Spain; CIBER of Epidemiology and Public Health (CIBERESP) (Zamora), Madrid, Spain; WHO Collaborating Centre for Global Women's Health, Institute of Metabolism and Systems Research (Thangaratinam), University of Birmingham; Birmingham Women's and Children's NHS Foundation Trust (Thangaratinam), Birmingham, UK.
Javier ZamoraWarwick Medical School (Al Wattar, Honess, Bunnewell, Quenby), University of Warwick, Coventry, UK; Reproductive Medicine Unit (Al Wattar), University College London Hospitals, London, UK; Population Health Sciences (Welton), Bristol Medical School, University of Bristol, Bristol, UK; University Hospital of Coventry and Warwickshire (Quenby), Coventry, UK; Department of Preventive Medicine and Public Health (Khan), University of Granada, Granada, Spain; Clinical Biostatistics Unit, Ramon y Cajal Hospital (IRYCIS) and CIBER Epidemiology and Public Health (Khan, Zamora), Madrid, Spain; CIBER of Epidemiology and Public Health (CIBERESP) (Zamora), Madrid, Spain; WHO Collaborating Centre for Global Women's Health, Institute of Metabolism and Systems Research (Thangaratinam), University of Birmingham; Birmingham Women's and Children's NHS Foundation Trust (Thangaratinam), Birmingham, UK.
Shakila ThangaratinamWarwick Medical School (Al Wattar, Honess, Bunnewell, Quenby), University of Warwick, Coventry, UK; Reproductive Medicine Unit (Al Wattar), University College London Hospitals, London, UK; Population Health Sciences (Welton), Bristol Medical School, University of Bristol, Bristol, UK; University Hospital of Coventry and Warwickshire (Quenby), Coventry, UK; Department of Preventive Medicine and Public Health (Khan), University of Granada, Granada, Spain; Clinical Biostatistics Unit, Ramon y Cajal Hospital (IRYCIS) and CIBER Epidemiology and Public Health (Khan, Zamora), Madrid, Spain; CIBER of Epidemiology and Public Health (CIBERESP) (Zamora), Madrid, Spain; WHO Collaborating Centre for Global Women's Health, Institute of Metabolism and Systems Research (Thangaratinam), University of Birmingham; Birmingham Women's and Children's NHS Foundation Trust (Thangaratinam), Birmingham, UK.
Universidad de Granada · ESCentro de Investigación Biomédica en Red · ESCoventry (United Kingdom) · GBInstituto Ramón y Cajal de Investigación Sanitaria · ESRoyal London Hospital · GBUniversity College London · GBUniversity of Birmingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCesarean delivery is the most common surgical procedure worldwide. Intrapartum fetal surveillance is routinely offered to improve neonatal outcomes, but the effects of different methods on the risk of emergency cesarean deliveries remains uncertain. We conducted a systematic review and network meta-analysis to evaluate the effectiveness of different types of fetal surveillance.

methodsWe searched MEDLINE, Embase and CENTRAL until June 1, 2020, for randomized trials evaluating any intrapartum fetal surveillance method. We performed a network meta-analysis within a frequentist framework. We assessed the quality and network inconsistency of trials. We reported primarily on intrapartum emergency cesarean deliveries and other secondary maternal and neonatal outcomes using risk ratios (RRs) and 95% confidence intervals (CIs).

resultsWe included 33 trials (118 863 patients) evaluating intermittent auscultation with Pinard stethoscope/handheld Doppler (IA), cardiotocography (CTG), computerized cardiotocography (cCTG), CTG with fetal scalp lactate (CTG-lactate), CTG with fetal scalp pH analysis (CTG-FBS), CTG with fetal pulse oximetry (FPO-CTG), CTG with fetal heart electrocardiogram (CTG-STAN) and their combinations. Intermittent auscultation reduced the risk of emergency cesarean deliveries compared with other types of surveillance (IA v. CTG: RR 0.83, 95% CI 0.72-0.97; IA v. CTG-FBS: RR 0.71, 95% CI 0.63-0.80; IA v.CTG-lactate: RR 0.77, 95% CI 0.64-0.92; IA v. FPO-CTG: RR 0.75, 95% CI 0.65-0.87; IA v.FPO-CTG-FBS: RR 0.81, 95% CI 0.67-0.99; cCTG-FBS v. IA: RR 1.21, 95% CI 1.04-1.42), except STAN-CTG-FBS (RR 1.17, 95% CI 0.98-1.40). There was a similar reduction observed for emergency cesarean deliveries for fetal distress. None of the evaluated methods was associated with a reduced risk of neonatal acidemia, neonatal unit admissions, Apgar scores or perinatal death.

interpretationCompared with other types of fetal surveillance, intermittent auscultation seems to reduce emergency cesarean deliveries in labour without increasing adverse neonatal and maternal outcomes.

Indexed as

Pregnancy OutcomeCesarean SectionFemaleFetal MonitoringHumansPregnancyRandomized Controlled Trials as Topic

Identifiers

PMID33824144
PMCPMC8049638
OpenAlexW3149876106

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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 OpenQuestion graph.