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Review
. 2008 Nov;53 Suppl1(SUPPL1):S11-6.
doi: 10.1016/j.survophthal.2008.08.005.

Diagnostic tools for calculation of glaucoma risk

Steve L Mansberger  1 , Felipe A Medeiros, Mae Gordon
Affiliations
Review

Diagnostic tools for calculation of glaucoma risk

Steve L Mansberger et al. Surv Ophthalmol. 2008 Nov.

Abstract

Risk calculators may simplify the management of ocular hypertension and glaucoma patients and provide evidence-based treatment. Risk calculators are not new to medicine. Medical providers use risk calculators to guide decision-making for the risk of a chromosomal abnormality in neonates, osteoporosis in postmenopausal women, and cardiovascular disease in adults. This article describes the current knowledge of risk calculators in ophthalmology. Clinicians should recognize that the current risk calculators do not include critical information guiding treatment such as life expectancy and patient's willingness to commit to years of eye drops. Overall, eye-care providers should consider the results of a risk calculator as supplemental information when treating an ocular hypertension or glaucoma patient.

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Figures

Figure 1
Figure 1
Scatterplot of ophthalmologists’ estimate of risk (%) and whether or not they would treat. The dashed line within the figure represents the risk calculator estimate. Reproduced from Mansberger, et al. J Glaucoma. 2006 Oct;15(5):426–31.
FIGURE 2
FIGURE 2
Comparison of observed and predicted 5-year incidence of glaucoma when the OHTS-derived risk calculator was applied to the DIGS (Diagnostic Innovations in Glaucoma Study) data set. Predictied probabilities agreed closed with observed outcomes. Reproduced from Medeiros et al. Arch Ophthalmol 2005; 123:1351–60.
See this image and copyright information in PMC

References

    1. Institute of Medicine (U.S.) Crossing the quality chasm : a new health system for the 21st century. Washington, D.C: National Academy Press; 2001. Committee on Quality of Health Care in America; p. xx.p. 337. - PubMed
    1. Wilson PW, D’Agostino RB, Levy D, Belanger AM, Silbershatz H, Kannel WB. Prediction of coronary heart disease using risk factor categories. Circulation. 1998;97:1837–47. - PubMed
    1. Tielsch JM, Katz J, Singh K, et al. A population-based evaluation of glaucoma screening: the Baltimore Eye Survey. Am J Epidemiol. 1991;134:1102–10. - PubMed
    1. Gordon MO, Torri V, Miglior S, et al. Validated prediction model for the development of primary open-angle glaucoma in individuals with ocular hypertension. Ophthalmology. 2007;114:10–9. - PMC - PubMed
    1. Mansberger SL, Cioffi GA. The probability of glaucoma from ocular hypertension determined by ophthalmologists in comparison to a risk calculator. J Glaucoma. 2006;15:426–31. - PubMed

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