Evidence map›Paper›PMID 37868791›Full record

ArticleOphthalmology science

Corneal Stress Distribution Evolves from Thickness-Driven in Normal Corneas to Curvature-Driven with Progression in Keratoconus.

Cynthia J Roberts, Kayla M Knoll, Ashraf M Mahmoud, Andrew J Hendershot, Phillip T Yuhas

Open access · goldAbstract read
In one paragraph

Article in Ophthalmology science. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
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

15 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Technical report: Calculation and interpretation of corneal transference maps.Optometry and vision science : official publication of the American Academy of Optometry · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Squishy matters - Corneal mechanobiology in health and disease.Progress in retinal and eye research · 2024
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
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

5 authors at 1 institution in 1 country.

Cynthia J RobertsDepartment of Ophthalmology & Visual Sciences, College of Medicine, The Ohio State University, Columbus, Ohio.
Kayla M KnollDepartment of Ophthalmology & Visual Sciences, College of Medicine, The Ohio State University, Columbus, Ohio.
Ashraf M MahmoudDepartment of Ophthalmology & Visual Sciences, College of Medicine, The Ohio State University, Columbus, Ohio.
Andrew J HendershotDepartment of Ophthalmology & Visual Sciences, College of Medicine, The Ohio State University, Columbus, Ohio.
Phillip T YuhasCollege of Optometry, The Ohio State University, Columbus, Ohio.
The Ohio State University · US

Funding

Corneal Biomechanics in Ocular DiseaseR01EY027399 · NEI · OHIO STATE UNIVERSITY · PI CYNTHIA J ROBERTS · 2017 to 2026
$3.8M
NEI NIH HHS R01 EY027399
6 · The paper itself

Abstract

Purpose: To introduce the novel parameter of Corneal Contribution to Stress (CCS) and compare stress distribution patterns between keratoconus (KCN) and normal corneas. Design: Prospective, observational, cross-sectional study. Participants: The study included 66 eyes of 40 subjects diagnosed with KCN and 155 left eyes from 155 normal control (NRL) subjects. Methods: Tomography was obtained to calculate the newly proposed CCS, defined according to the hoop stress formula without intraocular pressure, R/2t, where R is the radius of curvature and t is the thickness. CCS maps were calculated from pachymetry and tangential curvature maps. Custom software identified the 2-mm-diameter zones of greatest curvature (Cspot-max), thinnest pachymetry (Pach-min), greatest stress (CCSmax), and lowest stress (CCSmin). Stress difference (CCSdiff) was calculated as CCSmax - CCSmin. Distances between Cspot-max vs. Pach-min, vs. CCSmax, and vs. CCSmin, as well as between Pach-min vs. CCSmax and vs. CCSmin, were calculated. Main Outcome Measures: Corneal stress parameters, corneal features of maximum curvature, minimum thickness, and distances between corneal stress parameters and corneal features. Results: CCSmax was significantly closer to Pach-min (0.79 ± 0.92) and Cspot-max (2.04 ± 0.85) than CCSmin (3.17 ± 0.38, 2.73 ± 1.53, respectively) in NRL, Conclusions: Corneal stress is driven by thickness in NRL, with greatest stress at thinnest pachymetry and greatest curvature. However, maximum stress moves away from thinnest pachymetry with progression in KCN, and Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Indexed as

Corneal tomographyCurvatureKeratoconusStressThicknessTomography

Identifiers

PMID37868791
PMCPMC10587627
OpenAlexW4384938759

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.