Referral patterns of intraocular tumour patients to a dedicated Canadian ocular oncology department
Abstract
Objective Intraocular tumours are uncommon lesions requiring comprehensive management at tertiary referral centers. This study analyzes referral patterns of intraocular tumours, accuracy of referral diagnosis, and modes of treatment provided for patients at a dedicated Canadian Ocular Oncology Department.Design Retrospective chart review.Participants A total of 1050 new patient referrals of intraocular tumours to the department of Ocular Oncology at Princess Margaret Hospital (PMH) between 2005 and 2008 inclusive.Methods Data collected for each patient included demographics, referral diagnosis, final diagnosis, and treatment provided or recommended. Home address postal codes were used to determine patients' geographical distance to PMH.Results Most patients originated from Ontario (81.5%) followed by Alberta (7.1%) with a median age of referral at 61 years old. The most common referral diagnoses were unknown diagnosis (47.6%), uveal melanoma (26.9%), and nevus (18.9%). After evaluation at PMH, uveal nevus was the most common final diagnosis (39.7%) followed by melanoma (39.2%). The referring physicians correctly diagnosed 48.5% of total melanomas. The proportion of melanoma diagnosis relative to total referrals by province ranged from 29.6% for Ontario to 100% for Quebec. Distance from the patient's address to PMH was <200 kilometres in 64.5% of patients and >1000 kilometres in 21.6% of patients.Conclusions The limited accuracy of referral diagnoses and increased proportion of melanoma referrals from greater distances demonstrates the need for increased knowledge in ocular oncology, improvement of eye cancer care facilities at the referral base, and/or the implementation of tele-ophthalmology.
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Similar referral patterns are observed in ocular oncology.
“For example, up to 40% of patients referred to a neuro-ophthalmology subspecialty service are misdiagnosed,23 and similar referral patterns are observed in ocular oncology.24”
From Evaluating the Performance of ChatGPT in Ophthalmology (2023) · cites this paper as [24]
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Evaluating the Performance of ChatGPT in Ophthalmology
Antaki, F., Touma, S., Milad, D., El-Khoury, J., & Duval, R. (2023) · Ophthalmology Science · doi:10.1016/j.xops.2023.100324 · Cited by 563 · see citing works
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Referral patterns in neuro-ophthalmology
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- Authors
- Law, C., Krema, H., & Simpson, E. R.
- Affiliations
- Queen's University (CA)
- University Health Network (CA)
- Venue
- Canadian Journal of Ophthalmology
- Publisher
- Elsevier BV
- Published
- 2012-06
- Volume
- 47
- Issue
- 3
- Pages
- 254-261
- ISSN
- 0008-4182 (ISSN-L)
- OpenAlex
- W1995762085
- Cited by
- 9
- References
- 12
- Citations by year
- 2026: 1 · 2023: 2 · 2022: 1 · 2019: 2 · 2017: 1 · 2016: 1 · 2015: 1
- FWCI
- 0.30
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Canadian Journal of Ophthalmology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Ophthalmology › Ocular Oncology and Treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Ocular Disorders and Treatments
- Health Sciences › Medicine › Ophthalmology › Ocular Diseases and Behçet’s Syndrome
- Keywords
- intraocular tumors, uveal melanoma, referral patterns, teleophthalmology, ocular oncology
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Canada, Child, Child, Preschool, Eye Neoplasms, Female, Geography, Hospitals, Special, Humans, Male, Medical Oncology, Middle Aged, Ophthalmology, Referral and Consultation, Retrospective Studies, Reproducibility of Results, Oncology Service, Hospital
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