Evidence map›Paper›PMID 30140637›Full record

ArticleInternational journal of ophthalmology2018

Comparison among Ocular Response Analyzer, Corvis ST and Goldmann applanation tonometry in healthy children.

Ramin Salouti, Ali Agha Alishiri, Reza Gharebaghi, Mostafa Naderi, Khosrow Jadidi, Ahmad Shojaei-Baghini, Mohammadreza Talebnejad, Zahra Nasiri, Seyedmorteza Hosseini, Fatemeh Heidary

Abstract read
In one paragraph

Article in International journal of ophthalmology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Observational
  2. Article
  3. Corneal biomechanics in early diagnosis of keratoconus using artificial intelligence.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024
    Review
  4. Keratoconus: imaging modalities and management.Medical hypothesis, discovery & innovation ophthalmology journal · 2024
    Review
  5. Article
  6. Article
  7. Common causes of visual impairment in the elderly.Medical hypothesis, discovery & innovation ophthalmology journal · 2021
    Review
  8. Review
  9. Review
  10. Prevalence of Visual Impairment in School Children.Journal of ophthalmic & vision research
    Article
  11. Author's Reply.Journal of ophthalmic & vision research
    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.

Ramin SaloutiDepartment of Ophthalmology, Poostchi Ophthalmology Research Center, Shiraz University of Medical Sciences, Shiraz 7134814336, Iran.
Ali Agha AlishiriDepartment of Ophthalmology, Baqiyatallah University of Medical Sciences, Tehran 141551856, Iran.
Reza GharebaghiDepartment of Ophthalmology, Poostchi Ophthalmology Research Center, Shiraz University of Medical Sciences, Shiraz 7134814336, Iran.
Mostafa NaderiDepartment of Ophthalmology, Baqiyatallah University of Medical Sciences, Tehran 141551856, Iran.
Khosrow JadidiDepartment of Ophthalmology, Baqiyatallah University of Medical Sciences, Tehran 141551856, Iran.
Ahmad Shojaei-BaghiniDepartment of Ophthalmology, Baqiyatallah University of Medical Sciences, Tehran 141551856, Iran.
Mohammadreza TalebnejadDepartment of Ophthalmology, Poostchi Ophthalmology Research Center, Shiraz University of Medical Sciences, Shiraz 7134814336, Iran.
Zahra NasiriFaculty of Mathematical Sciences, Tarbiat Modares University, Tehran 141551856, Iran.
Seyedmorteza HosseiniDepartment of Ophthalmology, Baqiyatallah University of Medical Sciences, Tehran 141551856, Iran.
Fatemeh HeidaryOphthalmic Research Center, Shahid Beheshti University of Medical Sciences; Immunoregulation Research Center, Shahed University, Tehran 141551856, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo explore the relationship between different parameters of Ocular Response Analyzer (ORA) and Corvis ST (CST) in a sample of healthy Iranian school-aged children and the relationship between parameters of these 2 instruments against intraocular pressure (IOP), measured by the Goldmann applanation tonometer (GAT-IOP), age and gender, and find possible correlation between ORA and CST with GAT.

methodsThis cross-sectional study included 90 healthy children. A general interview and complete eye examination were performed. Following successful GAT-IOP measurement, ORA and CST were conducted. The CST parameters were A 1/2 length (A1L, A2L), A 1/2 velocity (A1V, A2V), highest concavity deformation amplitude (HCDA), radius of curvature (RoC), peak distance (PD), central corneal thickness (CCT) and IOP. The ORA parameters were corneal hysteresis (CH), corneal resistance factor (CRF), Goldmann-correlated IOP (IOP-G) and corneal compensated IOP (IOP-CC). Extracted data was analyzed using the Statistical Package for Social Science software.

resultsTotally 39 males with age of 9.08±1.60 (6-12)y and 51 females with age of 8.96±1.55 (6-13)y were included. Many CST parameters were significantly correlated with CH, CRF, IOP-G and IOP-CC. Some CST parameters had a significant correlation with GAT-IOP, including IOP-CST in both eyes and HCDA, A2L, PD, and RoC in the left eye, but none with age, except A2L in the right eye. The CRF measurement showed a significant correlation with GAT-IOP in both eyes and CH in the right eye, yet, none with age. Among all CST and ORA parameters, CCT-CST in both eyes and A1L in right eye had a significant correlation with gender, although this was a negligible negative correlation. Comparison of mean IOP values by different devices showed a significantly highest IOP overestimation by CST and lowest by IOP-CC compared with GAT. Also, IOP-G versus IOP-CST significantly had the lowest IOP overestimation among others. Overall, either low positive correlation or negligible correlation was found between IOP measurements by 3 instruments.

conclusionThe study finds the highest IOP overestimation by CST and lowest by IOP-CC compared with GAT. Overall, either low positive correlation or negligible correlation is found between IOP measurements by the 3 instruments.

Indexed as

childrenCorvis STGoldmann applanation tonometerintraocular pressureOcular Response Analyzer

Identifiers

PMID30140637
PMCPMC6090110

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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.