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Title

Prognostic value of applanation tonometry, pachymetry and automated perimetry in monitoring glaucoma progression: A longitudinal analytical
study

 

Authors

Shivam Pandey1,*, Kritika Upadhyay1, Shubhi Jain1, Shreyashi Tripathi1 & Sachin Parmar2

 

Affiliation

1Department of Ophthalmology, NSCB Medical College, Jabalpur, Madhya Pradesh, India; 2Department of Community Medicine, V.K.S. Government Medical College, Neemuch, Madhya Pradesh, India; *Corresponding author

 

Email

Shivam Pandey - E-mail: shivampandey294@gmail.com

 Kritika Upadhyay - E-mail: dr.kritika7298@gmail.com

Shubhi Jain - E-mail: sjain18212527@gmail.com

Shreyashi Tripathi - E-mail: shreyashi.mbbs.18@gmail.com

Sachin Parmar - E-mail: dr.sachinparmar@gmail.com

 

Article Type

Research Article

 

Date

Received April 1, 2026; Revised April 30, 2026; Accepted April 30, 2026, Published April 30, 2026

 

Abstract

Glaucoma is a leading cause of irreversible blindness and accurate monitoring using intraocular pressure (IOP), central corneal thickness (CCT) and visual field analysis is essential for early detection of progression. This 24-month longitudinal analytical study evaluated the prognostic value of Goldmann applanation tonometry, pachymetry and automated perimetry in patients with primary open-angle, primary angle-closure and secondary glaucomas. Mean IOP was high in PACG and secondary angle-closure glaucoma, while CCT was greatest in secondary open-angle glaucoma and PACG and visual field loss was severe in POAG. Adjusting IOP for CCT yielded consistently lower corrected values, emphasizing the importance of pachymetry in refining glaucoma assessment and prognosis. Thus, data support a personalized, multimodal approach to glaucoma monitoring integrating IOP, CCT and visual field parameters to optimize long-term visual outcomes.

 

Keywords

Glaucoma, intraocular pressure (IOP), central corneal thickness (CCT), automated perimetry, visual field loss

 

Citation

Pandey et al. Bioinformation 22(4): 2244-2248 (2026)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.