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The challenge of dry eye diagnosis
Open accessAbstract
The currently available methods for the diagnosis of dry eye are still far from being perfect for a variety of reasons. This review attempts to highlight the advantages and disadvantages of both traditional tests (such as Schirmer's test, break-up time and ocular surface staining) and innovative noninvasive procedures, including tear meniscus height measurement, corneal topography, functional visual acuity, tear interferometry, tear evaporimetry and tear osmolarity assessment.
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Cited by
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Stapleton, F., Alves, M., Bunya, V. Y., Jalbert, I., Lekhanont, K., Malet, F., Na, K.-S., Schaumberg, D., Uchino, M., Vehof, J., et al. (2017) · The Ocular Surface · doi:10.1016/j.jtos.2017.05.003 · Cited by 2,618
TFOS DEWS II Management and Therapy Report
Jones, L., Downie, L. E., Korb, D., Benitez-del-Castillo, J. M., Dana, R., Deng, S. X., Dong, P. N., Geerling, G., Hida, R. Y., Liu, Y., et al. (2017) · The Ocular Surface · doi:10.1016/j.jtos.2017.05.006 · Cited by 1,422
Associations between signs and symptoms of dry eye disease: a systematic review
Bartlett, J., Keith, M., Sudharshan, L., & Snedecor, S. (2015) · Clinical Ophthalmology · doi:10.2147/opth.s89700 · Cited by 268
A randomized controlled trial of omega-3 fatty acids in dry eye syndrome.
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Bhargava, R., Chandra, M., Bansal, U., Singh, D., Ranjan, S., & Sharma, S. (2016) · Current Eye Research · doi:10.3109/02713683.2015.1122810 · Cited by 67
Metadata
- Authors
- Savini, G.
- Venue
- Clinical Ophthalmology
- Publisher
- Informa UK Limited
- Published
- 2008-03
- Volume
- 2
- Issue
- 1
- Pages
- 31
- ISSN
- 1177-5467 (ISSN-L)
- 1177-5483
- OpenAlex
- W2031133194
- Cited by
- 286
- References
- 0
- FWCI
- 0.93
- Type
- journal article
- Language
- en
- Open access
- gold
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- Savini, G. (2008). The challenge of dry eye diagnosis. Clinical Ophthalmology. https://doi.org/10.2147/opth.s1496
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.