Evidence map›Paper›PMID 37391515›Full record

ArticleEye (London, England)2024

Improving glaucoma staging in clinical practice by combining the ICD-10 glaucoma severity classification system and optical coherence tomography.

Ari Leshno, Emmanouil Tsamis, Noga Harizman, Carlos Gustavo De Moraes, Sol La Bruna, Anvit Rai, Aakriti Garg-Shukla, George A Cioffi, Qing Wang, Jeffrey M Liebmann and 1 more

Abstract read
In one paragraph

Article in Eye (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Observational
  3. Article
  4. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Ari LeshnoBernard and Shirlee Brown Glaucoma Research Laboratory, Edward S. Harkness Eye Institute, Department of Ophthalmology, Columbia University Irving Medical Center, 635 W 165th St, New York, NY, 10032, USA.ORCID 0000-0002-8717-1659
Emmanouil TsamisDepartment of Psychology, Columbia University Schermerhorn Hall, 1190 Amsterdam Ave #406, New York, NY, 10027, USA.
Noga HarizmanBernard and Shirlee Brown Glaucoma Research Laboratory, Edward S. Harkness Eye Institute, Department of Ophthalmology, Columbia University Irving Medical Center, 635 W 165th St, New York, NY, 10032, USA.
Carlos Gustavo De MoraesBernard and Shirlee Brown Glaucoma Research Laboratory, Edward S. Harkness Eye Institute, Department of Ophthalmology, Columbia University Irving Medical Center, 635 W 165th St, New York, NY, 10032, USA.
Sol La BrunaDepartment of Psychology, Columbia University Schermerhorn Hall, 1190 Amsterdam Ave #406, New York, NY, 10027, USA.
Anvit RaiAlbert Einstein College of Medicine, New York, NY, 10461, USA.
Aakriti Garg-ShuklaBernard and Shirlee Brown Glaucoma Research Laboratory, Edward S. Harkness Eye Institute, Department of Ophthalmology, Columbia University Irving Medical Center, 635 W 165th St, New York, NY, 10032, USA.ORCID 0000-0002-0765-8337
George A CioffiBernard and Shirlee Brown Glaucoma Research Laboratory, Edward S. Harkness Eye Institute, Department of Ophthalmology, Columbia University Irving Medical Center, 635 W 165th St, New York, NY, 10032, USA.
Qing WangBernard and Shirlee Brown Glaucoma Research Laboratory, Edward S. Harkness Eye Institute, Department of Ophthalmology, Columbia University Irving Medical Center, 635 W 165th St, New York, NY, 10032, USA.
Jeffrey M Liebmann *Bernard and Shirlee Brown Glaucoma Research Laboratory, Edward S. Harkness Eye Institute, Department of Ophthalmology, Columbia University Irving Medical Center, 635 W 165th St, New York, NY, 10032, USA.ORCID 0000-0002-5663-0533
Donald C Hood *Bernard and Shirlee Brown Glaucoma Research Laboratory, Edward S. Harkness Eye Institute, Department of Ophthalmology, Columbia University Irving Medical Center, 635 W 165th St, New York, NY, 10032, USA. dch3@columbia.edu.

Funding

Tests of Models of Retinal/Optic Nerve Diseases&AdaptionR01EY002115 · NEI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI HOOD, DONALD C. · 1985 to 2018
$7.4M
Development, validation and assessment of an automated, topographic structure-function approach to the detection of glaucoma and its progressionK99EY032182 · NEI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI TSAMIS, EMMANOUIL · 2021 to 2022
$261k
NEI NIH HHS K99 EY032182NEI NIH HHS R01 EY002115
6 · The paper itself

Abstract

objectiveThe International Classification of Disease, 10th revision (ICD-10) codes used for glaucoma severity classification are based on the 24-2 visual-field (VF) test. This study aim was to assess the added value of providing clinicians with optical coherence tomography (OCT) data, in addition to functional data, for glaucoma staging in clinical practice. EXPOSURE: Disease classification was determined for 54 glaucoma eyes, according to the principles of the ICD-10 guidelines. Eyes were independently graded in a masked fashion using the 24-2 VF test and 10-2 VF test, with and without OCT information. The reference standard (RS) for severity was determined using a previously published automated structure-function topographic agreement for glaucomatous damage using all available information.

resultsThe RS classified eyes as mild, moderate and advanced in 3, 16 and 35 cases, respectively. Individual and combined 24-2 and 10-2 based gradings were significantly different from the RS (all P < 0.005), with Kappa agreements of 0.26, 0.45 and 0.42 respectively (P < 0.001). Classifications using OCT combined with either of the VF were not-significantly different from the RS (P > 0.3) with Kappa agreements of 0.56 and 0.57 respectively (P < 0.001). Combining 24-2 with OCT had less severity overestimations while 10-2 with OCT had fewer underestimations.

conclusionCombining OCT and VF data provides better staging of glaucoma severity than VF data alone. The 24-2 and OCT combination seems most appropriate given the high concordance with the RS and less overestimation of severity. Incorporating structural information into disease stages allows clinicians to set more appropriate severity-based treatment targets for individual patients.

Indexed as

GlaucomaTomography, Optical CoherenceHumansInternational Classification of DiseasesIntraocular PressureNerve FibersRetinal Ganglion CellsVisual FieldsVisual Field Tests

Identifiers

PMID37391515
PMCPMC10764715

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.