Evidence map›Paper›PMID 34914738›Full record

ArticlePloS one2021

Automation improves repeatability of retinal oximetry measurements.

Robert Arnar Karlsson, Olof Birna Olafsdottir, Vedis Helgadottir, Soumaya Belhadj, Thorunn Scheving Eliasdottir, Einar Stefansson, Sveinn Hakon Hardarson

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. 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
0.7field-weighted citation impact, top 29% 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, 7 citations in OpenAlex.

  1. Observational
  2. 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

7 authors at 2 institutions in 2 countries.

Robert Arnar KarlssonFaculty of Medicine, University of Iceland, Reykjavik, Iceland.ORCID 0000-0001-6438-454X
Olof Birna OlafsdottirFaculty of Medicine, University of Iceland, Reykjavik, Iceland.
Vedis HelgadottirFaculty of Medicine, University of Iceland, Reykjavik, Iceland.
Soumaya BelhadjEberhard Karls Universität, Tübingen, Germany.ORCID 0000-0002-5743-2416
Thorunn Scheving EliasdottirThe National University Hospital of Iceland, Reykjavik, Iceland.
Einar StefanssonFaculty of Medicine, University of Iceland, Reykjavik, Iceland.
Sveinn Hakon HardarsonFaculty of Medicine, University of Iceland, Reykjavik, Iceland.
University of Iceland · ISUniversity of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRetinal oximetry is a technique based on spectrophotometry where images are analyzed with software capable of calculating vessel oxygen saturation and vessel diameter. In this study, the effect of automation of measurements of retinal vessel oxygen saturation and vessel diameter is explored.

methodsUntil now, operators have had to choose each vessel segment to be measured explicitly. A new, automatic version of the software automatically selects the vessels once the operator defines a measurement area. Five operators analyzed image pairs from the right eye of 23 healthy subjects with semiautomated retinal oximetry analysis software, Oxymap Analyzer (v2.5.1), and an automated version (v3.0). Inter- and intra-operator variability was investigated using the intraclass correlation coefficient (ICC) between oxygen saturation measurements of vessel segments in the same area of the retina.

resultsFor semiautomated saturation measurements, the inter-rater ICC was 0.80 for arterioles and venules. For automated saturation measurements, the inter-rater ICC was 0.97 for arterioles and 0.96 for venules. For semiautomated diameter measurements, the inter-rater ICC was 0.71 for arterioles and venules. For automated diameter measurements the inter-rater ICC was 0.97 for arterioles and 0.95 for venules. The inter-rater ICCs were different (p < 0.01) between the semiautomated and automated version in all instances.

conclusionAutomated measurements of retinal oximetry values are more repeatable compared to measurements where vessels are selected manually.

Indexed as

AdultAutomationHumansOximetryOxygenReproducibility of ResultsRetinal VesselsSoftwareVenulesYoung AdultOxygen

Identifiers

PMID34914738
PMCPMC8675673
OpenAlexW4225838154

What OpenQuestion holds

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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.