Evidence map›Paper›PMID 32532774›Full record

ArticleBMJ open2020

Study protocol for an exploratory interventional study investigating the feasibility of video-based non-contact physiological monitoring in healthy volunteers by Mapping Of Lower Limb skIn pErfusion (MOLLIE).

Mirae Harford, Carlos Areia, Mauricio Villarroel, Joao Jorge, Eoin Finnegan, Shaun Davidson, Adam Mahdi, Duncan Young, Lionel Tarassenko, Peter J Watkinson

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. 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

10 authors at 1 institution in 1 country.

Mirae HarfordCritical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK mirae.harford@ndcn.ox.ac.uk.ORCID 0000-0003-2851-1577
Carlos AreiaCritical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID 0000-0002-4668-7069
Mauricio VillarroelDepartment of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, UK.
Joao JorgeDepartment of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, UK.
Eoin FinneganDepartment of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, UK.
Shaun DavidsonDepartment of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, UK.
Adam MahdiDepartment of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, UK.
Duncan YoungCritical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Lionel TarassenkoDepartment of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, UK.
Peter J WatkinsonCritical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID 0000-0003-1023-3927
University of Oxford · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

introductionSkin perfusion varies in response to changes in the circulatory status. Blood flow to skin is reduced during haemodynamic collapse secondary to peripheral vasoconstriction, whereas increased skin perfusion is frequently observed when haemodynamics improve with resuscitation. These changes in perfusion may be monitored using non-contact image-based methods. Previous camera-derived physiological measurements have focused on accurate vital signs monitoring and extraction of physiological signals from environmental noise. One of the biggest challenges of camera-derived monitoring is artefacts from motion, which limits our understanding of what parameters may be derived from skin. In this study, we use phenylephrine and glyceryl trinitrate (GTN) to cause vasoconstriction and vasodilation in stationary healthy volunteers to describe directional changes in skin perfusion pattern. METHODS AND ANALYSIS: We aim to recruit 30 healthy volunteers who will undergo protocolised infusions of phenylephrine and GTN, followed by the monitored and timed release of a thigh tourniquet. The experimental timeline will be identical for all participants. Measurements of traditionally used haemodynamic markers (heart rate, blood pressure and stroke volume) and camera-derived measurements will be taken concurrently throughout the experimental period. The parameters of interest from the image data are skin colour and pattern, skin surface temperature, pulsatile signal detected at the skin surface and skin perfusion index. ETHICS AND DISSEMINATION: This study was reviewed and approved by the Oxford University Research and Ethics Committee and Clinical Trials and Research Governance teams (R63796/RE001). The results of this study will be presented at scientific conferences and published in peer-reviewed journals. TRIAL REGISTRATION NUMBER: ISRCTN10417167.

Indexed as

Healthy VolunteersVideo RecordingAdolescentAdultArtifactsFeasibility StudiesFemaleHemodynamicsHumansLower ExtremityMaleMiddle AgedMonitoring, PhysiologicNitroglycerinPhenylephrineResearch DesignNitroglycerinPhenylephrineanatomyclinical pharmacologyclinical physiology

Identifiers

PMID32532774
PMCPMC7295406
OpenAlexW3035349299

What OpenQuestion 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 OpenQuestion graph.