Evidence map›Paper›PMID 27580243›Full record

Trial reportPloS one2016

The Relationship between Corvis ST Tonometry and Ocular Response Analyzer Measurements in Eyes with Glaucoma.

Masato Matsuura, Kazunori Hirasawa, Hiroshi Murata, Mieko Yanagisawa, Yoshitaka Nakao, Shunsuke Nakakura, Yoshiaki Kiuchi, Ryo Asaoka

Abstract readClinical TrialComparative Study
In one paragraph

Trial report in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Wave-based optical coherence elastography: The 10-year perspective.Progress in biomedical engineering (Bristol, England) · 2022
    Article
  9. Article
  10. Association between optic nerve head morphology in open-angle glaucoma and corneal biomechanical parameters measured with Corvis ST.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2020
    Article
  11. Observational
  12. Observational
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Observational
  20. 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

8 authors.

Masato MatsuuraDepartment of Ophthalmology, University of Tokyo Graduate School of Medicine, Tokyo, Japan.
Kazunori HirasawaDepartment of Ophthalmology, University of Tokyo Graduate School of Medicine, Tokyo, Japan.
Hiroshi MurataDepartment of Ophthalmology, University of Tokyo Graduate School of Medicine, Tokyo, Japan.
Mieko YanagisawaDepartment of Ophthalmology, University of Tokyo Graduate School of Medicine, Tokyo, Japan.
Yoshitaka NakaoDepartment of Ophthalmology and Visual Science, Hiroshima University, Hiroshima, Japan.
Shunsuke NakakuraDepartment of Ophthalmology, Saneikai Tsukazaki Hospital, Himeji, Japan.
Yoshiaki KiuchiDepartment of Ophthalmology and Visual Science, Hiroshima University, Hiroshima, Japan.
Ryo AsaokaDepartment of Ophthalmology, University of Tokyo Graduate School of Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is important to compare the results of Corneal Visualization Scheimpflug Technology instrument (CST) measurements and Reichert Ocular Response Analyzer (ORA) parameters. The purpose of the study was to investigate the association between CST measurements and ORA parameters in ninety-five patients with primary open-angle glaucoma. Measurements of CST, ORA, axial length (AL), average corneal curvature (CC), central corneal thickness (CCT) and intraocular pressure (IOP) with Goldmann applanation tonometry (GAT) were carried out. The association between CST and ORA parameters was assessed using linear regression analysis, with model selection based on the second order bias corrected Akaike Information Criterion index. Measurements from ORA (corneal hysteresis [CH] and corneal response factor [CRF]) had high intraclass correlation coefficients (ICC) and low coefficients of variation, but some CST parameters showed much lower reproducibility, namely: A1 length, A2 length, highest concavity time and peak distance. Of 12 CST parameters tested, 8 were significantly correlated with CH and 10 were significantly correlated with CRF, however, the magnitude of the correlation coefficients were weak to moderate at best. The optimal model to explain CH using CST measurements was given by: CH = -76.3 + 4.6*A1 time + 1.9*A2 time + 3.1 * highest concavity deformation amplitude + 0.016*CCT (R2 = 0.67, p <0.001). Similarly, the optimal model for CRF was given by: CRF = -53.5 + 4.2*A1 time + 1.9*A1 length + 20.8*A1 deformation amplitude + 0.8*A2 time + 0.017*CCT (R2 = 0.73, p <0.001). ORA parameters show higher reproducibility than CST measurements. Although many CST parameters are significantly related to ORA parameters, the strengths of these relationships are weak to moderate.

Indexed as

Models, BiologicalTonometry, OcularAdultAgedAged, 80 and overEyeFemaleGlaucoma, Open-AngleHumansMaleMiddle Aged

Identifiers

PMID27580243
PMCPMC5006993

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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.