A Population-based Evaluation of Glaucoma Screening: The Baltimore Eye Survey

Tielsch, James M.; Katz, Joanne; Singh, Kuldev; Quigley, Harry A.; Gottsch, John D.; Javitt, Jonathan C.; Sommer, Alfred

doi:10.1093/oxfordjournals.aje.a116013

Cited by 417 publications

(247 citation statements)

References 0 publications

Supporting

Mentioning

214

Contrasting

Unclassified

Order By: Relevance

“…For example, in South Africa, at a cutoff of 421 mmHg, tonometry had a sensitivity of only 37% and specificity of 91% for the detection of POAG (Figure 3), figures which are very similar to those reported from the Baltimore Eye Study. 29 …”

Section: Tonometrymentioning

confidence: 99%

See 1 more Smart Citation

What is practical in glaucoma management?

Rotchford

2005

Eye

View full text Add to dashboard Cite

show abstract

Section: Tonometrymentioning

confidence: 99%

“…32 Overall, CDR does not appear to perform any better than IOP as an isolated screening test and the use of various combinations of disc parameters and IOP does not help significantly. 29 …”

Section: Optic Disc Examinationmentioning

confidence: 99%

What is practical in glaucoma management?

Rotchford

2005

Eye

View full text Add to dashboard Cite

show abstract

“…15 The proportion of undetected glaucoma in the developed world, however, remains at about 50%. 1,16,17 Several approaches have been proposed to try to reduce this proportion within the UK. These include the use of referral guidelines 11 and the use of repeat examination by accredited optometrists.…”

mentioning

confidence: 99%

Glaucoma case finding: a cluster-randomised intervention trial

Theodossiades

Murdoch

2004

Eye

View full text Add to dashboard Cite

Purpose To assess the effect of an intervention comprising training in optic disc assessment, explicit referral criteria and ophthalmologist feedback on referred patients, on the number of optometrist referrals for suspected glaucoma seen at a referral site and the positive predictive value of those referrals. Methods Optometric practices routinely referring to the Ealing Hospital Eye Clinic were randomly divided into two groups taking into consideration those practices, which shared an optometrist (a cluster) and the number of optometrist days worked per week. One group of practices acted as controls, while the other practices were invited to receive the intervention. Data on 397 new patients referred and presenting to Ealing Hospital with suspected glaucoma were collected over a 20-month period. The data on patients who had failed to attend their appointment were collected over 7 months of this period. The number of referrals seen, the positive predictive value of those referrals, and the attendance rate were calculated. Optometrist's opinions of the intervention were assessed qualitatively. Data relating to optometrist compliance with the intervention were also collected. Results The number of glaucoma referrals presenting to Ealing Hospital from the intervention practices was almost double that from the control practices (210 vs 119). When cluster randomisation, the number of optometrist days per cluster and the number of assessed referrals in the preintervention period are taken into consideration, it is estimated that the intervention is associated with a 52% increase in the number of referrals reaching Ealing Hospital. However, the design effect resulting from the cluster randomisation was unexpectedly high (of the order of [13][14] and so the confidence intervals around the estimate of 52% are very wide (95% c.i. 35% decrease to 253% increase, P ¼ 0.34). There was no evidence of an association between optometrist compliance with the intervention and the number of referrals seen at Ealing Hospital. The positive predictive value (PPV) of referrals was similar for the intervention (0.49 (95% c.i. 0.42, 0.55)) and control groups (0.46 (95% c.i. 0.33, 0.60)). Optometrist opinions of the intervention were largely favourable. All expressed a willingness to participate in future programmes. Conclusion A large difference in the number of referrals between the practice groups was observed. Since the PPV of referral was unchanged, the potential impact of the intervention in terms of numbers of new cases of glaucoma detected in the community is substantial. However, because of its large design effect, this trial does not provide conclusive evidence of an impact of the intervention on referral numbers. A considerably larger trial will be required to produce conclusive evidence of an effect.

show abstract

“…It is estimated that approximately 8% of adults over the age of 40 years in the United States have ocular hypertension [4]. While ocular hypertension is a common finding, clinicians do not know which patients to treat or which patients to monitor without treatment.…”

Section: Why Risk Calculators Are Necessary?mentioning

confidence: 99%

Estimating the Risk of Developing Glaucoma

Medeiros¹

2009

TOOPHTJ

View full text Add to dashboard Cite

The issue of risk assessment in glaucoma has received increasing attention in the past few years since the publication of results from the Ocular Hypertension Treatment Study. Predictive models have been developed in order to estimate the risk that patients with ocular hypertension will develop glaucoma if left untreated. The purpose of this article is to review issues on the development and validation of predictive models to estimate risk of glaucoma development. Current models are reviewed and details about their development and validation are provided.

show abstract

A Population-based Evaluation of Glaucoma Screening: The Baltimore Eye Survey

Cited by 417 publications

References 0 publications

What is practical in glaucoma management?

What is practical in glaucoma management?

Glaucoma case finding: a cluster-randomised intervention trial

Estimating the Risk of Developing Glaucoma

Contact Info

Product

Resources

About