Evidence map›Paper›PMID 29605552›Full record

ArticleMicrovascular research2018

Automated structure and flow measurement - a promising tool in nailfold capillaroscopy.

Michael Berks, Graham Dinsdale, Andrea Murray, Tonia Moore, Joanne Manning, Chris Taylor, Ariane L Herrick

Open access · hybridAbstract read
In one paragraph

Article in Microvascular research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

18 citing papers in PubMed, 34 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Exoscope-based videocapillaroscopy system forBiomedical optics express · 2021
    Article
  15. New perspectives in the imaging of Raynaud's phenomenon.European journal of rheumatology · 2020
    Review
  16. Article
  17. Article
  18. Review
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 3 institutions in 1 country.

Michael BerksCentre for Imaging Sciences, Division of Informatics, Imaging & Data Sciences, The University of Manchester, Manchester, UK.
Graham DinsdaleDivision of Musculoskeletal & Dermatological Sciences, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
Andrea MurrayDivision of Musculoskeletal & Dermatological Sciences, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
Tonia MooreSalford Royal NHS Foundation Trust, Salford, UK.
Joanne ManningSalford Royal NHS Foundation Trust, Salford, UK.
Chris TaylorCentre for Imaging Sciences, Division of Informatics, Imaging & Data Sciences, The University of Manchester, Manchester, UK.
Ariane L HerrickDivision of Musculoskeletal & Dermatological Sciences, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK; NIHR Manchester Musculoskeletal Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK. Electronic address: ariane.herrick@manchester.ac.uk.
Manchester Academic Health Science Centre · GBSalford Royal NHS Foundation Trust · GBUniversity of Manchester · GB

Funding

Versus Arthritis 19465Wellcome Trust 09342/Z/10/Z
6 · The paper itself

Abstract

objectivesDespite increasing interest in nailfold capillaroscopy, objective measures of capillary structure and blood flow have been little studied. We aimed to test the hypothesis that structural measurements, capillary flow, and a combined measure have the predictive power to separate patients with systemic sclerosis (SSc) from those with primary Raynaud's phenomenon (PRP) and healthy controls (HC).

methods50 patients with SSc, 12 with PRP, and 50 HC were imaged using a novel capillaroscopy system that generates high-quality nailfold images and provides fully-automated measurements of capillary structure and blood flow (capillary density, mean width, maximum width, shape score, derangement and mean flow velocity). Population statistics summarise the differences between the three groups. Areas under ROC curves (A

resultsStatistically significant differences in group means were found between patients with SSc and both HC and patients with PRP, for all measurements, e.g. mean width (μm) ± SE: 15.0 ± 0.71, 12.7 ± 0.74 and 11.8 ± 0.23 for SSc, PRP and HC respectively. Combining the five structural measurements gave better classification (A

conclusionsStructural and blood flow measurements are both able to distinguish patients with SSc from those with PRP/HC. Importantly, these hold promise as clinical trial outcome measures for treatments aimed at improving finger blood flow or microvascular remodelling.

Indexed as

MicrocirculationAdultAgedAged, 80 and overAutomationBlood Flow VelocityCapillariesCase-Control StudiesDiagnosis, DifferentialFemaleHumansMaleMicroscopic AngioscopyMiddle AgedNailsPredictive Value of TestsMicrocirculationNailfold capillaroscopyRed blood cell velocitySystemic sclerosis

Identifiers

PMID29605552
PMCPMC5956308
OpenAlexW2794870108

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.