Evidence map›Paper›PMID 29945641›Full record

ArticleReproductive health2018

Innovations in vital signs measurement for the detection of hypertension and shock in pregnancy.

Nicola Vousden, Hannah L Nathan, Andrew H Shennan

Abstract readLetter
In one paragraph

Article in Reproductive health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

3 authors.

Nicola VousdenDepartment of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK. nicola.vousden@kcl.ac.uk.
Hannah L NathanDepartment of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK.
Andrew H ShennanDepartment of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK.

Funding

Medical Research Council MR/N006240/1
6 · The paper itself

Abstract

Approximately 820 women die in pregnancy and childbirth every day worldwide, with 99% of these occurring in low-resource settings. The most common causes of maternal mortality are haemorrhage, sepsis and hypertensive disorders. There are established, effective solutions to these complications, however challenges remain in identifying who is at greatest risk and ensuring that interventions are delivered early when they have the greatest potential to benefit. Measuring vital signs is the first step in identifying women at risk. Overstretched or poorly trained staff and inadequate access to accurate, reliable equipment to measure vital signs can potentially result in delayed treatment initiation. Early warning systems may help alert users to identify patients at risk, especially where novel technologies can improve usability by automating calculations and alerting users to abnormalities. This may be of greatest benefit in under-resourced settings where task-sharing is common and early identification of complications can allow for prioritisation of life-saving interventions. This paper highlights the challenges of accurate vital sign measurement in pregnancy and identifies innovations which may improve detection of pregnancy complications.

Indexed as

Equipment DesignVital SignsDiffusion of InnovationEquipment and SuppliesFemaleHumansHypertensionHypertension, Pregnancy-InducedMaternal MortalityMonitoring, PhysiologicPregnancyPregnancy ComplicationsPrimary Health CareRisk AssessmentShockHypertensionLow resourcePregnancyShock indexVital signs

Identifiers

PMID29945641
PMCPMC6020004

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.