Literature DB >> 25913874

Methodology and reporting of diagnostic accuracy studies of automated perimetry in glaucoma: evaluation using a standardised approach.

Bruno M R Fidalgo1, David P Crabb, John G Lawrenson.   

Abstract

PURPOSE: To evaluate methodological and reporting quality of diagnostic accuracy studies of perimetry in glaucoma and to determine whether there had been any improvement since the publication of the Standards for Reporting of Diagnostic Accuracy (STARD) guidelines.
METHODS: A systematic review of English language articles published between 1993 and 2013 reporting the diagnostic accuracy of perimetry in glaucoma. Articles were appraised for methodological quality using the 14-item Quality assessment tool for diagnostic accuracy studies (QUADAS) and evaluated for quality of reporting by applying the STARD checklist.
RESULTS: Fifty-eight articles were appraised. Overall methodological quality of these studies was moderate with a median number of QUADAS items rated as 'yes' equal to nine (out of a maximum of 14) (IQR 7-10). The studies were often poorly reported; median score of STARD items fully reported was 11 out of 25 (IQR 10-14). A comparison of the studies published in 10-year periods before and after the publication of the STARD checklist in 2003 found quality of reporting had not substantially improved.
CONCLUSIONS: Methodological and reporting quality of diagnostic accuracy studies of perimetry is sub-optimal and appears not to have improved substantially following the development of the STARD reporting guidance. This observation is consistent with previous studies in ophthalmology and in other medical specialities.
© 2015 The Authors Ophthalmic & Physiological Optics © 2015 The College of Optometrists.

Entities:  

Keywords:  glaucoma; methodological quality; perimetry; quality assessment of studies of diagnostic accuracy; standards for the reporting of diagnostic accuracy studies

Mesh:

Year:  2015        PMID: 25913874     DOI: 10.1111/opo.12208

Source DB:  PubMed          Journal:  Ophthalmic Physiol Opt        ISSN: 0275-5408            Impact factor:   3.117


  6 in total

1.  Novel Machine-Learning Based Framework Using Electroretinography Data for the Detection of Early-Stage Glaucoma.

Authors:  Mohan Kumar Gajendran; Landon J Rohowetz; Peter Koulen; Amirfarhang Mehdizadeh
Journal:  Front Neurosci       Date:  2022-05-04       Impact factor: 5.152

Review 2.  Does the medical literature remain inadequately described despite having reporting guidelines for 21 years? - A systematic review of reviews: an update.

Authors:  Yanling Jin; Nitika Sanger; Ieta Shams; Candice Luo; Hamnah Shahid; Guowei Li; Meha Bhatt; Laura Zielinski; Bianca Bantoto; Mei Wang; Luciana Pf Abbade; Ikunna Nwosu; Alvin Leenus; Lawrence Mbuagbaw; Muhammad Maaz; Yaping Chang; Guangwen Sun; Mitchell Ah Levine; Jonathan D Adachi; Lehana Thabane; Zainab Samaan
Journal:  J Multidiscip Healthc       Date:  2018-09-27

Review 3.  Are Current Methods of Measuring Dark Adaptation Effective in Detecting the Onset and Progression of Age-Related Macular Degeneration? A Systematic Literature Review.

Authors:  Bethany E Higgins; Deanna J Taylor; Alison M Binns; David P Crabb
Journal:  Ophthalmol Ther       Date:  2021-02-09

4.  Correlation Between Optical Coherence Tomography and Photopic Negative Response of Flash Electroretinography in Ganglion Cell Complex Assessment in Glaucoma Patients.

Authors:  Mohammad Hasan Awwad; Ossama Nada; Momen Mahmoud Hamdi; Amany Abd El-Fattah El-Shazly; Sheriff Elwan
Journal:  Clin Ophthalmol       Date:  2022-03-23

5.  STARD 2015 was reproducible in a large set of studies on glaucoma.

Authors:  Gianni Virgili; Manuele Michelessi; Alba Miele; Francesco Oddone; Giada Crescioli; Valeria Fameli; Ersilia Lucenteforte
Journal:  PLoS One       Date:  2017-10-12       Impact factor: 3.240

6.  Diagnostic accuracy research in glaucoma is still incompletely reported: An application of Standards for Reporting of Diagnostic Accuracy Studies (STARD) 2015.

Authors:  Manuele Michelessi; Ersilia Lucenteforte; Alba Miele; Francesco Oddone; Giada Crescioli; Valeria Fameli; Daniël A Korevaar; Gianni Virgili
Journal:  PLoS One       Date:  2017-12-14       Impact factor: 3.240

  6 in total

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