Literature DB >> 26822760

Automated imaging technologies for the diagnosis of glaucoma: a comparative diagnostic study for the evaluation of the diagnostic accuracy, performance as triage tests and cost-effectiveness (GATE study).

Augusto Azuara-Blanco1, Katie Banister2, Charles Boachie3, Peter McMeekin4, Joanne Gray5, Jennifer Burr6, Rupert Bourne7, David Garway-Heath8,9, Mark Batterbury10, Rodolfo Hernández11, Gladys McPherson2, Craig Ramsay2, Jonathan Cook12.   

Abstract

BACKGROUND: Many glaucoma referrals from the community to hospital eye services are unnecessary. Imaging technologies can potentially be useful to triage this population.
OBJECTIVES: To assess the diagnostic performance and cost-effectiveness of imaging technologies as triage tests for identifying people with glaucoma.
DESIGN: Within-patient comparative diagnostic accuracy study. Markov economic model comparing the cost-effectiveness of a triage test with usual care.
SETTING: Secondary care. PARTICIPANTS: Adults referred from the community to hospital eye services for possible glaucoma.
INTERVENTIONS: Heidelberg Retinal Tomography (HRT), including two diagnostic algorithms, glaucoma probability score (HRT-GPS) and Moorfields regression analysis (HRT-MRA); scanning laser polarimetry [glaucoma diagnostics (GDx)]; and optical coherence tomography (OCT). The reference standard was clinical examination by a consultant ophthalmologist with glaucoma expertise including visual field testing and intraocular pressure (IOP) measurement. MAIN OUTCOME MEASURES: (1) Diagnostic performance of imaging, using data from the eye with most severe disease. (2) Composite triage test performance (imaging test, IOP measurement and visual acuity measurement), using data from both eyes, in correctly identifying clinical management decisions, that is 'discharge' or 'do not discharge'. Outcome measures were sensitivity, specificity and incremental cost per quality-adjusted life-year (QALY).
RESULTS: Data from 943 of 955 participants were included in the analysis. The average age was 60.5 years (standard deviation 13.8 years) and 51.1% were females. Glaucoma was diagnosed by the clinician in at least one eye in 16.8% of participants; 37.9% of participants were discharged after the first visit. Regarding diagnosing glaucoma, HRT-MRA had the highest sensitivity [87.0%, 95% confidence interval (CI) 80.2% to 92.1%] but the lowest specificity (63.9%, 95% CI 60.2% to 67.4%) and GDx had the lowest sensitivity (35.1%, 95% CI 27.0% to 43.8%) but the highest specificity (97.2%, 95% CI 95.6% to 98.3%). HRT-GPS had sensitivity of 81.5% (95% CI 73.9% to 87.6%) and specificity of 67.7% (95% CI 64.2% to 71.2%) and OCT had sensitivity of 76.9% (95% CI 69.2% to 83.4%) and specificity of 78.5% (95% CI 75.4% to 81.4%). Regarding triage accuracy, triage using HRT-GPS had the highest sensitivity (86.0%, 95% CI 82.8% to 88.7%) but the lowest specificity (39.1%, 95% CI 34.0% to 44.5%), GDx had the lowest sensitivity (64.7%, 95% CI 60.7% to 68.7%) but the highest specificity (53.6%, 95% CI 48.2% to 58.9%). Introducing a composite triage station into the referral pathway to identify appropriate referrals was cost-effective. All triage strategies resulted in a cost reduction compared with standard care (consultant-led diagnosis) but with an associated reduction in effectiveness. GDx was the least costly and least effective strategy. OCT and HRT-GPS were not cost-effective. Compared with GDx, the cost per QALY gained for HRT-MRA is £22,904. The cost per QALY gained with current practice is £156,985 compared with HRT-MRA. Large savings could be made by implementing HRT-MRA but some benefit to patients will be forgone. The results were sensitive to the triage costs.
CONCLUSIONS: Automated imaging can be effective to aid glaucoma diagnosis among individuals referred from the community to hospital eye services. A model of care using a triage composite test appears to be cost-effective. FUTURE WORK: There are uncertainties about glaucoma progression under routine care and the cost of providing health care. The acceptability of implementing a triage test needs to be explored. FUNDING: The National Institute for Health Research Health Technology Assessment programme.

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Year:  2016        PMID: 26822760      PMCID: PMC4781562          DOI: 10.3310/hta20080

Source DB:  PubMed          Journal:  Health Technol Assess        ISSN: 1366-5278            Impact factor:   4.014


  9 in total

1.  Optical coherence tomography retinal ganglion cell complex analysis for the detection of early chiasmal compression.

Authors:  Richard J Blanch; Jonathan A Micieli; Nelson M Oyesiku; Nancy J Newman; Valérie Biousse
Journal:  Pituitary       Date:  2018-10       Impact factor: 4.107

2.  Cochrane Corner: evidence on the management of primary angle closure glaucoma.

Authors:  M Michelessi; A Azuara-Blanco; G Virgili
Journal:  Eye (Lond)       Date:  2022-01-15       Impact factor: 3.775

3.  Ophthalmology research in the UK's National Health Service: the structure and performance of the NIHR's Ophthalmology research portfolio.

Authors:  Sarah R Dawson; Emma Linton; Kris Beicher; Richard Gale; Praveen Patel; Faruque Ghanchi; Michael W Beresford; Vanessa Poustie; Usha Chakravarthy; Rupert R A Bourne
Journal:  Eye (Lond)       Date:  2018-11-20       Impact factor: 3.775

4.  Accuracy of optical coherence tomography for diagnosing glaucoma: an overview of systematic reviews.

Authors:  Manuele Michelessi; Tianjing Li; Alba Miele; Augusto Azuara-Blanco; Riaz Qureshi; Gianni Virgili
Journal:  Br J Ophthalmol       Date:  2020-06-03       Impact factor: 4.638

5.  Can Automated Imaging for Optic Disc and Retinal Nerve Fiber Layer Analysis Aid Glaucoma Detection?

Authors:  Katie Banister; Charles Boachie; Rupert Bourne; Jonathan Cook; Jennifer M Burr; Craig Ramsay; David Garway-Heath; Joanne Gray; Peter McMeekin; Rodolfo Hernández; Augusto Azuara-Blanco
Journal:  Ophthalmology       Date:  2016-03-23       Impact factor: 12.079

6.  Effect of quantitative intraocular pressure reduction on visual field defect progression in normal tension glaucoma under medical therapy applying Markov model.

Authors:  Keiji Yoshikawa; Kazunori Santo; Hiroko Hizaki; Masayo Hashimoto
Journal:  Clin Ophthalmol       Date:  2018-08-30

7.  Impact of optical coherence tomography on diagnostic decision-making by UK community optometrists: a clinical vignette study.

Authors:  Anish Jindal; Irene Ctori; Bruno Fidalgo; Priya Dabasia; Konstantinos Balaskas; John G Lawrenson
Journal:  Ophthalmic Physiol Opt       Date:  2019-05       Impact factor: 3.117

8.  Diagnostic Accuracy and Detection Rate of Glaucoma Screening with Optic Disk Photos, Optical Coherence Tomography Images, and Telemedicine.

Authors:  Alfonso Anton; Karen Nolivos; Marta Pazos; Gianluca Fatti; Miriam Eleonora Ayala; Elena Martínez-Prats; Oscar Peral; Vladimir Poposki; Evangelos Tsiroukis; Antonio Morilla-Grasa; Merce Comas; Xavier Castells
Journal:  J Clin Med       Date:  2021-12-31       Impact factor: 4.241

9.  Comparison of Diagnostic Ability Between Wide-Field Swept-Source Optical Coherence Tomography Imaging Maps and Heidelberg Retina Tomograph 3 Optic Nerve Head Assessment to Discriminate Glaucomatous and Non-glaucomatous Eyes.

Authors:  Dimitrios Kourkoutas; George Triantafyllopoulos; Iordanis Georgiou; Aristotelis Karamaounas; Nikolaos Karamaounas; Konstadinos Sotiropulos; Dimitrios Kapralos
Journal:  Cureus       Date:  2022-08-19
  9 in total

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