Evidence map›Paper›PMID 27586243›Full record

ArticleJournal of clinical monitoring and computing2017

Ability and efficiency of an automatic analysis software to measure microvascular parameters.

Andrea Carsetti, Hollmann D Aya, Silvia Pierantozzi, Simone Bazurro, Abele Donati, Andrew Rhodes, Maurizio Cecconi

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Article in Journal of clinical monitoring and computing, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  7. Observational
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  11. [Optical coherence tomography angiography in intensive care medicine : A new field of application?]Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft · 2019
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Andrea CarsettiDepartment of Intensive Care Medicine, St George's University Hospitals NHS Foundation Trust, Blackshaw Road, London, SW17 0QT, UK.
Hollmann D AyaDepartment of Intensive Care Medicine, St George's University Hospitals NHS Foundation Trust, Blackshaw Road, London, SW17 0QT, UK.
Silvia PierantozziDepartment of Intensive Care Medicine, St George's University Hospitals NHS Foundation Trust, Blackshaw Road, London, SW17 0QT, UK.
Simone BazurroDepartment of Intensive Care Medicine, St George's University Hospitals NHS Foundation Trust, Blackshaw Road, London, SW17 0QT, UK.
Abele DonatiDepartment of Biomedical Sciences and Public Health, Università Politecnica delle Marche, Ancona, Italy.
Andrew RhodesDepartment of Intensive Care Medicine, St George's University Hospitals NHS Foundation Trust, Blackshaw Road, London, SW17 0QT, UK.
Maurizio CecconiDepartment of Intensive Care Medicine, St George's University Hospitals NHS Foundation Trust, Blackshaw Road, London, SW17 0QT, UK. m.cecconi@nhs.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analysis of the microcirculation is currently performed offline, is time consuming and operator dependent. The aim of this study was to assess the ability and efficiency of the automatic analysis software CytoCamTools 1.7.12 (CC) to measure microvascular parameters in comparison with Automated Vascular Analysis (AVA) software 3.2. 22 patients admitted to the cardiothoracic intensive care unit following cardiac surgery were prospectively enrolled. Sublingual microcirculatory videos were analysed using AVA and CC software. The total vessel density (TVD) for small vessels, perfused vessel density (PVD) and proportion of perfused vessels (PPV) were calculated. Blood flow was assessed using the microvascular flow index (MFI) for AVA software and the averaged perfused speed indicator (APSI) for the CC software. The duration of the analysis was also recorded. Eighty-four videos from 22 patients were analysed. The bias between TVD-CC and TVD-AVA was 2.20 mm/mm

Indexed as

Image Processing, Computer-AssistedMicrocirculationPattern Recognition, AutomatedSoftwareAutomationBlood Flow VelocityBlood VesselsCritical CareHumansIntensive Care UnitsMicroscopy, VideoObserver VariationPerfusionProspective StudiesReproducibility of ResultsAnalysisCytoCamIncident dark field imagingMicrocirculation

Identifiers

What OpenQuestion holds

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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.