Skip to main content
  • Research article
  • Open access
  • Published:

Goldmann applanation tonometry compared with corneal-compensated intraocular pressure in the evaluation of primary open-angle Glaucoma



To better understand the role of corneal properties and intraocular pressure (IOP) in the evaluation of primary open-angle glaucoma (POAG); and to determine the feasibility of identifying glaucomatous optic neuropathy (GON) using IOP corrected and uncorrected for corneal biomechanics.


Records from 1,875 eyes of consecutively evaluated new patients were reviewed. Eyes were excluded if central corneal thickness (CCT) or Ocular Response Analyzer (ORA) measurements were unavailable. Presence or absence of GON was determined based on morphology of the optic disc, rim and retinal nerve fiber layer at the time of clinical examination, fundus photography and Heidelberg Retinal Tomography. Goldmann-applanation tonometry (GAT) in the untreated state was recorded and Goldmann-correlated (IOPg) and corneal-compensated IOP (IOPcc) were obtained using the ORA. Glaucomatous eyes were classified as normal or high-tension (NTG, HTG) using the conventional cutoff of 21 mm Hg. One eligible eye was randomly selected from each patient for inclusion.


A total of 357 normal, 155 HTG and 102 NTG eyes were included. Among NTG eyes, IOPcc was greater than GAT (19.8 and 14.4 mm Hg; p < 0.001) and the difference between IOPcc and GAT was greatest for this subgroup of patients with NTG (p ≤ 0.01). The maximum combined sensitivity and specificity for detection of GON occurred at 20.9 mm Hg for GAT (59%, 90%) and 18.4 mm Hg for IOPcc (85%, 85%) and the area under the curve was greater for IOPcc (0.93 vs. 0.78; p < 0.001).


IOPcc may account for measurement error induced by corneal biomechanics. Compared to GAT, IOPcc may be a superior test in the evaluation of glaucoma but is unlikely to represent an effective diagnostic test.

Peer Review reports


Glaucoma is an optic neuropathy for which intraocular pressure (IOP) is the only known modifiable risk factor. Historically, elevated IOP was essential to the diagnosis of glaucoma, however the current American Academy of Ophthalmology definition does not include elevated IOP as a requirement [1, 2]. IOP as measured by Goldmann applanation tonometry (GAT) does not correlate well with glaucomatous optic neuropathy (GON) as there are entities such as ocular hypertensive eyes with elevated GAT readings without GON as well as normal tension glaucoma (NTG) eyes with progressive GON despite normal or low GAT measurements [36].

Notwithstanding, data from clinical trials support a role for IOP reduction in patients with ocular hypertension, early or advanced primary open-angle glaucoma (POAG), and NTG [711]. As IOP remains the only modifiable risk factor for eyes with GON and IOP reduction remains the mainstay of treatment, greater accuracy and less confounding in IOP measurement should have value in the management of most glaucomas [711]. It is not entirely clear whether the inconsistent association between IOP and glaucoma is related to shortcomings of office based IOP measurement, or whether IOP-independent risk factors are responsible for the pathological process in some glaucomas. While both may be operative, there is evidence that in applanation tonometry various factors can cause systematic measurement errors. In fact, Goldmann warned that extremely thick corneas would be measured inaccurately [12]. Ehlers measured IOP by in vivo cannulation of human eyes and introduced a table to correct the GAT errors caused by variations in central corneal thickness (CCT) measured by optical pachymetry [13]. Liu and Roberts quantitatively analyzed the theoretically larger effect of biomechanical properties of the cornea in addition to corneal curvature and thickness [14]. Also, recent studies have shown that GAT calibration error is common [15].

The Ocular Response Analyzer (ORA; Reichert Ophthalmic Instruments, Buffalo, NY) functions as a non-contact tonometer and was designed to provide IOP assessments that are independent of CCT. The instrument provides a Goldmann-correlated measure of IOP (IOPg) and a corneal compensated IOP (IOPcc) that is not correlated with CCT [16]. A number of investigators have illustrated that the ORA may avoid some of the aforementioned drawbacks of GAT, including confounding by corneal thickness, calibration error, and concerns regarding contamination and sanitation [1721]. It has been demonstrated that IOPg serves as a good approximation of GAT and may offer the clinician a tool to transition toward a corneal compensated IOP without fully abandoning GAT [17, 22]. Ultimately, transitioning to a corneal compensated measure of IOP might provide the clinician with a better approximation of anterior chamber pressure, independent of corneal biomechanical properties [18, 21, 23, 24].

It is unclear whether an IOP estimation less affected by confounding corneal properties could more effectively detect and/or aid in the evaluation and management of glaucoma. In the present study we sought to compare the sensitivity and specificity of measurements corrected and uncorrected for corneal biomechanics for the detection of GON in a population of patients under evaluation in a comprehensive ophthalmology office.


Data collection for this cross-sectional retrospective study was performed within the private office of one of the authors (MS). Approval for this cross-sectional retrospective study was obtained from the institutional review board at the New York Eye and Ear Infirmary and this investigation adhered to the tenets of the Declaration of Helsinki.

We reviewed IOP measurements for 1,875 consecutive eyes of new patients evaluated from January 2, 2004 to December 31, 2007 in a comprehensive ophthalmology practice in New York City. Consecutive patients with or without glaucoma undergoing initial eye examination were included in the study. Eyes were classified as normal or glaucomatous based on the absence or presence of morphological GON ascertained by clinical examination, fundus photography and Heidelberg Retinal Tomography II (Heidelberg Engineering, Heidelberg, Germany) of the optic disc and neuroretinal rim using previously defined criteria [25] that include changes such as: optic disc asymmetry, vertical/horizontal disparity, rim area and rim volume asymmetry, notching of the rim, violation of the ISNT rule and disc hemorrhages, with or without visual field defects, regardless of IOP level.

Eyes of patients without clinically evident GON were designated as a normal group, including patients under evaluation for glaucoma who were generally referred on the basis on family history or physiologic cupping.

All included patients had undergone CCT measurements with the DGH 550 pachette ultrasonic pachymeter (DGH Technologies, Pensylvania) and evaluation with the ORA (Reichert Inc, Depew, NY). Eyes without documented CCT or ORA measurements were excluded. All patients in this practice underwent routine CCT and ORA assessment regardless of diagnosis or reason for referral; however these were not always performed on the same visit and patients were only included when these data were acquired on the same date. Other exclusion criteria included acute or chronic angle closure glaucoma; secondary glaucoma; pseudoexfoliation syndrome; eyes with previous medical, laser or surgical treatment for glaucoma or corneal conditions; and lens and vitreous opacities that prevented optic nerve and retinal nerve fiber examinations. In addition, eyes were excluded if there was a history or diagnosis of ischemic optic neuropathy, vascular occlusive diseases, cerebrovascular accident, or other pertinent neurological disease. Data were extracted for analysis by randomly selecting one eye of each subject.

The highest GAT value recorded in an eye in the untreated state (no ocular hypotensive medication) was included for analysis. Topical anesthetic and fluorescein was placed in each eye before GAT, which was performed immediately after ORA evaluation per office protocol. The GAT used for the study was checked monthly to ensure proper calibration. Additionally, IOPg and IOPcc values were collected from the ORA. Per office protocol, ORA measurements were repeated five times or until a waveform score of 6.5 was obtained, and the measurement with the best waveform score was selected for inclusion in the study.

Using the conventional delineating GAT value of 21 mm Hg, we divided the population of all glaucomatous eyes into 2 groups: eyes with GAT greater than 21 mm Hg were designated as high-tension glaucoma (HTG); and eyes with GAT of 21 mm Hg or less as NTG. NTG eyes were then subdivided by IOPcc values; IOPcc greater than 21 mm Hg (high IOPcc NTG) and IOPcc less than or equal to 21 mm Hg (low IOPcc NTG). In each category and subgroup, age, GAT, IOPg and IOPcc were compared.

Differences in age, GAT, IOPg and IOPcc were determined among normal, HTG and NTG eyes. Sensitivity and specificity of GAT and IOPcc for the detection of GON at different thresholds of IOP were determined from the entire study population of normal and glaucomatous eyes; presence or absence of GON, as previously described, was designated as the gold standard for comparison. Receiver operating characteristic (ROC) curves of GAT and IOPcc were then constructed. The optimum IOP cutoff was defined as the value corresponding to the point on the ROC curve closest to the upper-left corner. A multiple ANOVA and post-hoc analyses were also performed and Benferroni corrections were applied when indicated. All statistical tests were two-sided with a 0.05 level of significance.


A total of 1,261 normal eyes were excluded due to absence of CCT or ORA measurements. Demographic and IOP data for normal, HTG and NTG eyes are shown in Table 1 for the 614 patients included in the study (357 normal, 155 POAG HTG, 102 POAG NTG).

Table 1 Patient characteristics

Frequency distributions of IOP measurements in normal and glaucomatous eyes are shown in Figure 1. GAT was chosen to represent IOP in normal eyes since all pressure measurements (GAT, IOPg and IOPcc) were statistically equivalent in this group (p > 0.05). The frequency distribution of both GAT and IOPcc is illustrated for all glaucomatous eyes (Figure 1).

Figure 1
figure 1

Frequency distributions of IOP measurements in normal and glaucomatous eyes. Frequency distribution of GAT in normal (solid line); GAT in glaucoma (dashed line); and IOPcc in glaucoma (fine dotted line); p < 0.001 for each pair-wise comparison. GAT, IOPg and IOPcc of normal eyes were statistically similar (p > 0.05), and are therefore represented by GAT (solid line).

Among NTG eyes, mean IOPcc was significantly higher than mean GAT (19.8 vs. 14.4 mm Hg; p < 0.001). Furthermore, the difference between GAT and IOPcc (expressed as [IOPcc – GAT] ) was significantly greater in NTG (5.4 ± 1.1 mm Hg) than in either normal (0.5 ± 1.7 mm Hg; p < 0.001) or HTG eyes (1.2 ± 1.2 mm Hg; p < 0.001). CCT was significantly correlated with IOPcc in NTG (p = 0.01) but not normal (p = 0.48) or HTG eyes (p = 0.93).

In this study, NTG eyes were defined as eyes with GON and a maximum recorded GAT less than or equal to 21 mm Hg. However, 39 (38%) of the 102 GAT defined NTG eyes had an IOPcc higher than 21 mm Hg; the mean IOPcc of these eyes was 23.3 mm Hg (Table 2). Of the same cohort of NTG eyes, 73 (72%) had an IOPcc greater than 18 mm Hg, 93 (91%) had an IOPcc greater than 15 mm Hg, and only 9 eyes (9%) had an IOPcc of 15 mm Hg or less.

Table 2 Normal-tension glaucoma patient characteristics

Sensitivities and specificities for identifying glaucoma using GAT (Figure 2a) and IOPcc (Figure 2b) were determined from the total study population of normal and glaucomatous eyes, using assessment of GON as the gold standard reference. The traditional GAT threshold of 21 mm Hg had a sensitivity of 46% (specificity 99%) for detecting glaucoma. The optimal GAT threshold to maximize combined sensitivity and specificity was 20.9 mm Hg (sensitivity 59%, specificity 90%). Likewise, an IOPcc cutoff of 18.4 mm Hg resulted in the highest combination of sensitivity (85%) and specificity (85%) for detecting glaucoma. The areas under the curve (AUC) of ROC curves were compared and demonstrated a greater AUC for IOPcc (0.93) compared to GAT (0.78) in the detection of GON (test for difference of AUCs: p < 0.001) Figure 3.

Figure 2
figure 2

Sensitivity and specificity of GAT and IOPcc in detecting glaucomatous optic neuropathy. a. Sensitivity and specificity of GAT in detecting glaucoma. b. Sensitivity and specificity of IOPcc in detecting glaucoma.

Figure 3
figure 3

ROC curves for GAT and IOPcc. ROC curves of GAT and IOPcc in the detection of GON (orange line-GAT; black line-IOPcc). The AUC for GAT was 0.78 and for IOPcc was 0.93 (test for difference of AUCs: p < 0.001).


In this comparison of several different assessments of IOP for the detection of GON, we found evidence that an IOP assessment that compensates for corneal biomechanical properties may have better accuracy for the detection of POAG than GAT. Specifically, we found that GAT and IOPcc showed considerable agreement within the normal and HTG cohorts. However, among NTG eyes IOPcc was, on average, significantly higher than GAT. Moreover, we determined that the optimal threshold for GAT to maximize sensitivity and specificity for the detection of GON was 20.9 mm Hg and for IOPcc was 18.4 mm Hg. Using ROC curves we found that the AUC for the IOPcc (0.93) was greater than for GAT (0.78), indicating that compared to GAT, IOPcc may represent a superior test in the evaluation of glaucoma.

Importantly, we would like to emphasize that we do not support the use of even a corneal compensated IOP for the diagnosis of glaucoma. Due to the relatively low prevalence of POAG in the population [2629], a diagnostic test with a sensitivity and specificity of 85% would result in low positive predictive value and thus a high number of false-positives. For example, in a population with a 4% prevalence of undiagnosed POAG, only about 19% of patients with a positive result would have the disease. Additionally, with a sensitivity of 85%, approximately one in six patients with POAG would not be detected. Notwithstanding, IOPcc may represent a better tool for the evaluation and management of POAG due to its more consistent association with the disease across a wide range of IOPs.

Since IOPcc was greater than GAT in majority of NTG eyes (92%) in this study, segregating NTG and HTG using a GAT threshold of 21 mm Hg may not be optimal. Other studies have also demonstrated an underestimation of IOP by applanation tonometry after correcting IOP for corneal properties [18, 21, 3033]. The present study, like others, found that eyes with NTG had significantly thinner corneas [34, 35], while patients with HTG had greater CCT compared to normals. Of note, one study, the Low Tension Glaucoma Study, did not find abnormally low CCT in a cohort of NTG patients [36]. However, the current study suggests that the impact of corneal properties on IOP determination may be greatest in eyes with NTG.

Past investigations have demonstrated that IOPcc is less dependent on corneal properties than traditional contact tonometry [18, 23]. Medeiros and Weinreb found that CCT was significantly correlated with GAT but not IOPcc in a population under evaluation for glaucoma. Additionally, in the same study they found that the difference between GAT and IOPcc increased linearly as a function of increasing CCT [18]. The results of the present investigation are similar in that we observed no significant correlation between CCT and IOPcc among HTG and normal eyes. However, we did determine a significant correlation between CCT and IOPcc among eyes with NTG. This pattern may exist since lower IOP values have a greater biologically plausible range for upward adjustment due to CCT than do higher IOP values as a function of regression toward the mean. This finding suggests that an accurate algorithm to correct for the impact of CCT and/or corneal biomechanics on IOP is likely to be non-linear.

CCT is lowest in eyes with NTG [34, 35] and low CCT may be both an independent risk factor for glaucoma progression [8] as well as a source of IOP measurement error [3033]. Consequently, use of a corneal compensated IOP may be preferable to GAT specifically in the evaluation and management of NTG. The existence of higher than normal IOPcc in eyes with NTG is supported by reports that medical and surgical therapies that decrease IOP in NTG eyes are effective in reducing the progression of GON [10, 11]. In the Collaborative Normal Tension Glaucoma Treatment Study [10], the average baseline IOP in the treated and untreated arms was 16.1 and 16.9 mm Hg, respectively. With treatment, the average IOP in the treatment group was lowered to 10.6 mm Hg, while IOP in the control group remained 16.0 mm Hg. Importantly, 35% of untreated eyes and only 12% of treated eyes met criteria for visual field or glaucomatous optic disc progression at the end of the study [10].

Notwithstanding, it has been observed that some eyes with NTG progress despite ocular hypotensive therapy [10]. In fact, some have speculated that NTG eyes may even develop GON independent of IOP [37]. Given the observation in the present study that differences in IOPcc and GAT in a single patient may be as large as 8 mm Hg, an eye with a GAT value in the normal range may actually have a much higher IOPcc, depending on its corneal properties. In this context, setting a therapeutic target IOP using GAT would similarly differ from an IOPcc target pressure. This may partially explain glaucoma progression in NTG eyes in which IOP, as measured by GAT, appears to be adequately controlled since determining a safe IOP target is made difficult.

There are several limitations to this study. As an observational cross-sectional study, it is not possible to determine how the longitudinal risk of glaucoma progression is related to GAT compared to IOPcc. The operational definition of GON used in this study was based on the appearance of the optic nerve as documented by the evaluating clinician and data for other definitions of glaucoma including visual field defects are not available. While perimetric evaluation or other computerized optic nerve imaging techniques could have been employed, these devices have limitations related to accuracy for GON detection [38] and such testing was not performed on all patients in this study. Additionally, since CCT [30] and CH [39, 40] differ by race/ethnicity it is possible that studies with distinct ethnic compositions may yield different results. Nonetheless, we did not separately analyze racial/ethnic differences in CCT and their contribution to our results. Finally, it was outside of the scope of this study to correlate the degree of GON with IOP levels or their fluctuation. Though we recognize that the absence of diurnal IOP data may have resulted in misclassification of some patients, there is no reason to believe that the data were systematically biased toward IOP measurement at any specific time of day.

This study contributes to the understanding of differences that exist in the impact of corneal properties on IOP measurement between normal, HTG and NTG eyes. Importantly, these results suggest that the a corneal compensated IOP may offer an attractive alternative to GAT, particularly for the evaluation and management of patients with NTG in whom corneal biomechanics and thickness appear to play the greatest role.


The sensitivity and specificity of GAT and corneal-compensated IOPcc for the identification of GON were optimized at thresholds of 20.9 and 18.4 mm Hg, respectively. For the detection of GON, the area under the ROC curve was significantly greater for IOPcc compared to GAT. While IOP is unlikely to be an effective diagnostic test, the results of this study suggest that a corneal-compensated IOP may represent a superior test for the evaluation of glaucoma, especially among patients with low to normal IOPs.


  1. Hollows FC, Graham PA: Intra-ocular pressure, glaucoma, and glaucoma suspects in a defined population. Br J Ophthalmol. 1966, 50: 570-586. 10.1136/bjo.50.10.570.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Armaly MF, Krueger DE, Maunder L, Becker B, Hetherington J, Kolker AE, Levene RZ, Maumenee AE, Pollack IP, Shaffer RN: Biostatistical analysis of the collaborative glaucoma study. I. Summary report of the risk factors for glaucomatous visual-field defects. Arch Ophthalmol. 1980, 98: 2163-2171. 10.1001/archopht.1980.01020041015002.

    Article  CAS  PubMed  Google Scholar 

  3. Gordon MO, Kass MA: The ocular hypertension treatment study: design and baseline description of the participants. Arch Ophthalmol. 1999, 117: 573-583. 10.1001/archopht.117.5.573.

    Article  CAS  PubMed  Google Scholar 

  4. von Graefe A: Amaurose mit sehnervenexcavation. Arch. Ophthalmol. 1857, 3: 484-489.

    Google Scholar 

  5. Chumbley LC, Brubaker RF: Low-tension glaucoma. Am J Ophthalmol. 1976, 81: 761-767.

    Article  CAS  PubMed  Google Scholar 

  6. Caprioli J, Sears M, Spaeth GL: Comparison of visual field defects in normal-tension glaucoma and high-tension glaucoma. Am J Ophthalmol. 1986, 102: 402-404.

    Article  CAS  PubMed  Google Scholar 

  7. Kass MA, Heuer DK, Higginbotham EJ, Johnson CA, Keltner JL, Miller JP, Parrish RK, Wilson MR, Gordon MO: The Ocular Hypertension Treatment Study: a randomized trial determines that topical ocular hypotensive medication delays or prevents the onset of primary open-angle glaucoma. Arch Ophthalmol. 2002, 120: 701-713. discussion 829–830

    Article  PubMed  Google Scholar 

  8. Leske MC, Heijl A, Hussein M, Bengtsson B, Hyman L, Komaroff E: Factors for glaucoma progression and the effect of treatment: the early manifest glaucoma trial. Arch Ophthalmol. 2003, 121: 48-56. 10.1001/archopht.121.1.48.

    Article  PubMed  Google Scholar 

  9. The Advanced Glaucoma Intervention Study (AGIS): 7. The relationship between control of intraocular pressure and visual field deterioration.The AGIS Investigators. Am J Ophthalmol. 2000, 130: 429-440.

    Article  Google Scholar 

  10. Collaborative Normal tension Glaucoma Study Group: Comparison of Glaucomatous Progression Between Untrested Patients with Normal-Tension Glaucoma and Patients with Terapeutically Reduced Intraocular Pressures. Am J Ophthalmol. 1998, 126: 487-497.

    Article  Google Scholar 

  11. Shigeeda T, Tomidokoro A, Araie M, Koseki N, Yamamoto S: Long-term follow-up of visual field progression after trabeculectomy in progressive normal-tension glaucoma. Ophthalmology. 2002, 109: 766-770. 10.1016/S0161-6420(01)01009-0.

    Article  PubMed  Google Scholar 

  12. Goldmann H, Schmidt T: Über applanationstonometrie. Ophthalmologica. 1957, 123: 221-242.

    Article  Google Scholar 

  13. Ehlers N, Bramsen T, Sperling S: Applanation tonometry and central corneal thickness. Acta Ophthalmol (Copenh). 1975, 53: 34-43.

    Article  CAS  Google Scholar 

  14. Liu J, Roberts CJ: Influence of corneal biomechanical properties on intraocular pressure measurement: quantitative analysis. J Cataract Refract Surg. 2005, 31: 146-155. 10.1016/j.jcrs.2004.09.031.

    Article  PubMed  Google Scholar 

  15. Choudhari NS, George R, Baskaran M, Vijaya L, Dudeja N: Measurement of Goldmann applanation tonometer calibration error. Ophthalmology. 2009, 116: 3-8. 10.1016/j.ophtha.2008.06.020.

    Article  PubMed  Google Scholar 

  16. Wasielica-Poslednik J, Berisha F, Aliyeva S, Pfeiffer N, Hoffmann EM: Reproducibility of ocular response analyzer measurements and their correlation with central corneal thickness. Graefes Arch Clin Exp Ophthalmol. 2010, 248: 1617-1622. 10.1007/s00417-010-1471-1.

    Article  PubMed  Google Scholar 

  17. Ehrlich JR, Haseltine S, Shimmyo M, Radcliffe NM: Evaluation of agreement between intraocular pressure measurements using Goldmann applanation tonometry and Goldmann correlated intraocular pressure by Reichert's ocular response analyser. Eye (Lond). 2010, 24: 1555-1560. 10.1038/eye.2010.83.

    Article  CAS  Google Scholar 

  18. Medeiros FA, Weinreb RN: Evaluation of the influence of corneal biomechanical properties on intraocular pressure measurements using the ocular response analyzer. J Glaucoma. 2006, 15: 364-370. 10.1097/01.ijg.0000212268.42606.97.

    Article  PubMed  Google Scholar 

  19. Doughty MJ, Zaman ML: Human corneal thickness and its impact on intraocular pressure measures: a review and meta-analysis approach. Surv Ophthalmol. 2000, 44: 367-408. 10.1016/S0039-6257(00)00110-7.

    Article  CAS  PubMed  Google Scholar 

  20. Kotecha A, White ET, Shewry JM, Garway-Heath DF: The relative effects of corneal thickness and age on Goldmann applanation tonometry and dynamic contour tonometry. Br J Ophthalmol. 2005, 89: 1572-1575. 10.1136/bjo.2005.075580.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Moreno-Montañés J, Maldonado MJ, García N, Mendiluce L, García-Gómez PJ, Seguí-Gómez M: Reproducibility and clinical relevance of the ocular response analyzer in nonoperated eyes: corneal biomechanical and tonometric implications. Invest Ophthalmol Vis Sci. 2008, 49: 968-974. 10.1167/iovs.07-0280.

    Article  PubMed  Google Scholar 

  22. Lam A, Chen D, Chiu R, Chui W-S: Comparison of IOP measurements between ORA and GAT in normal Chinese. Optom Vis Sci. 2007, 84: 909-914. 10.1097/OPX.0b013e3181559db2.

    Article  PubMed  Google Scholar 

  23. Streho M, Dariel R, Giraud J-M, Verret C, Fenolland J-R, Crochelet O, May F, Maurin J-F, Renard J-P: [Evaluation of the Ocular Response Analyzer in ocular hypertension, glaucoma, and normal populations. Prospective study on 329 eyes]. J Fr Ophtalmol. 2008, 31: 953-960. 10.1016/S0181-5512(08)74740-5.

    Article  CAS  PubMed  Google Scholar 

  24. Kotecha A, Elsheikh A, Roberts CR, Zhu H, Garway-Heath DF: Corneal thickness- and age-related biomechanical properties of the cornea measured with the ocular response analyzer. Invest Ophthalmol Vis Sci. 2006, 47: 5337-5347. 10.1167/iovs.06-0557.

    Article  PubMed  Google Scholar 

  25. Jonas JB, Budde WM, Panda-Jonas S: Ophthalmoscopic evaluation of the optic nerve head. Surv Ophthalmol. 1999, 43: 293-320. 10.1016/S0039-6257(98)00049-6.

    Article  CAS  PubMed  Google Scholar 

  26. Friedman DS, Jampel HD, Muñoz B, West SK: The prevalence of open-angle glaucoma among blacks and whites 73 years and older: the Salisbury Eye Evaluation Glaucoma Study. Arch Ophthalmol. 2006, 124: 1625-1630. 10.1001/archopht.124.11.1625.

    Article  PubMed  Google Scholar 

  27. Iwase A, Suzuki Y, Araie M, Yamamoto T, Abe H, Shirato S, Kuwayama Y, Mishima HK, Shimizu H, Tomita G, Inoue Y, Kitazawa Y: The prevalence of primary open-angle glaucoma in Japanese: the Tajimi Study. Ophthalmology. 2004, 111: 1641-1648.

    PubMed  Google Scholar 

  28. Leske MC, Connell AM, Schachat AP, Hyman L: The Barbados Eye Study. Prevalence of open angle glaucoma. Arch Ophthalmol. 1994, 112: 821-829. 10.1001/archopht.1994.01090180121046.

    Article  CAS  PubMed  Google Scholar 

  29. Varma R, Ying-Lai M, Francis BA, Nguyen BB-T, Deneen J, Wilson MR, Azen SP: Prevalence of open-angle glaucoma and ocular hypertension in Latinos: The Los Angeles Latino Eye Study. Ophthalmology. 2004, 111: 1439-1448. 10.1016/j.ophtha.2004.01.025.

    Article  PubMed  Google Scholar 

  30. Brandt JD, Beiser JA, Kass MA, Gordon MO: Central corneal thickness in the Ocular Hypertension Treatment Study (OHTS). Ophthalmology. 2001, 108: 1779-1788. 10.1016/S0161-6420(01)00760-6.

    Article  CAS  PubMed  Google Scholar 

  31. Bron AM, Creuzot-Garcher C, Goudeau-Boutillon S, d' Athis P: Falsely elevated intraocular pressure due to increased central corneal thickness. Graefes Arch Clin Exp Ophthalmol. 1999, 237: 220-224. 10.1007/s004170050222.

    Article  CAS  PubMed  Google Scholar 

  32. Herndon LW, Choudhri SA, Cox T, Damji KF, Shields MB, Allingham RR: Central corneal thickness in normal, glaucomatous, and ocular hypertensive eyes. Arch Ophthalmol. 1997, 115: 1137-1141. 10.1001/archopht.1997.01100160307007.

    Article  CAS  PubMed  Google Scholar 

  33. Whitacre MM, Stein R: Sources of error with use of Goldmann-type tonometers. Surv Ophthalmol. 1993, 38: 1-30. 10.1016/0039-6257(93)90053-A.

    Article  CAS  PubMed  Google Scholar 

  34. Copt RP, Thomas R, Mermoud A: Corneal thickness in ocular hypertension, primary open-angle glaucoma, and normal tension glaucoma. Arch Ophthalmol. 1999, 117: 14-16. 10.1001/archopht.117.1.14.

    Article  CAS  PubMed  Google Scholar 

  35. Lee ES, Kim CY, Ha SJ, Seong GJ, Hong YJ: Central corneal thickness of Korean patients with glaucoma. Ophthalmology. 2007, 114: 927-930. 10.1016/j.ophtha.2006.09.036.

    Article  PubMed  Google Scholar 

  36. Krupin T, Liebmann JM, Greenfield DS, Rosenberg LF, Ritch R, Yang JW: The Low-pressure Glaucoma Treatment Study (LoGTS) study design and baseline characteristics of enrolled patients. Ophthalmology. 2005, 112: 376-385. 10.1016/j.ophtha.2004.10.034.

    Article  PubMed  Google Scholar 

  37. Mozaffarieh M, Grieshaber MC, Flammer J: Oxygen and blood flow: players in the pathogenesis of glaucoma. Mol Vis. 2008, 14: 224-233.

    CAS  PubMed  PubMed Central  Google Scholar 

  38. Reus NJ, de Graaf M, Lemij HG: Accuracy of GDx VCC, HRT I, and clinical assessment of stereoscopic optic nerve head photographs for diagnosing glaucoma. Br J Ophthalmol. 2007, 91: 313-318. 10.1136/bjo.2006.096586.

    Article  PubMed  Google Scholar 

  39. Haseltine SJ, Pae J, Ehrlich JR, Shammas M, Radcliffe NM: Variation in corneal hysteresis and central corneal thickness among black, hispanic and white subjects. Acta Ophthalmol. 2012, Epub

    Google Scholar 

  40. Leite MT, Alencar LM, Gore C, Weinreb RN, Sample PA, Zangwill LM, Medeiros FA: Comparison of corneal biomechanical properties between healthy blacks and whites using the Ocular Response Analyzer. Am J Ophthalmol. 2010, 150: 163-168. 10.1016/j.ajo.2010.02.024. e1

    Article  PubMed  PubMed Central  Google Scholar 

Pre-publication history

Download references

Author information

Authors and Affiliations


Corresponding author

Correspondence to Nathan M Radcliffe.

Additional information

Competing interests

NMR has served as consultant for Allergan and Alcon and has received instrument support from Reichert, Inc.

Authors' contributions

JRE performed statistical analyses, and helped to draft the manuscript. NMR participated in the design of the study and helped to draft the manuscript. MS conceived of the study, participated in the design of the study and helped to draft the manuscript. All authors read and approved of the final manuscript.

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Authors’ original file for figure 2

Authors’ original file for figure 3

Rights and permissions

Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Ehrlich, J.R., Radcliffe, N.M. & Shimmyo, M. Goldmann applanation tonometry compared with corneal-compensated intraocular pressure in the evaluation of primary open-angle Glaucoma. BMC Ophthalmol 12, 52 (2012).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: