Evidence map›Paper›PMID 31598520›Full record

ReviewMedical hypothesis, discovery & innovation ophthalmology journal2019

Pentacam® Corneal Tomography for Screening of Refractive Surgery Candidates: A Review of the Literature, Part I.

Mahsaw N Motlagh, Majid Moshirfar, Michael S Murri, David F Skanchy, Hamed Momeni-Moghaddam, Yasmyne C Ronquillo, Phillip C Hoopes

Registry-linked trialOpen access · greenAbstract readReview
In one paragraph

Review in Medical hypothesis, discovery & innovation ophthalmology journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04313387 (Efficiency of an Algorithm Derived From Corneal Tomography Parameters to Distinguish Highly Susceptible Corneas to Ectasia From Healthy), which is not on this map. Cited by 63 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 2 pooled it
4.8field-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.

NCT04313387 completednot on this map

Efficiency of an Algorithm Derived From Corneal Tomography Parameters to Distinguish Highly Susceptible Corneas to Ectasia From Healthy

TypeobservationalSponsorGildasio Castello de Almeida JuniorRan2012 to 2018Enrolled588ConditionsKeratoconus, Artificial Intelligence, Support Vector MachineArmsCorneal tomography multivariate index derived from a support vector machine (CTMVI).
3 · Its place in the literature

Who cites it

63 citing papers in PubMed, 2 syntheses or guidelines pooled it, 70 citations in OpenAlex.

  1. Pooled it
  2. Corneal biomechanical changes in patients with anterior chamber inflammation: a systematic review and meta-analysis.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2025
    Pooled it
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  8. Greater exposure to PMScientific reports · 2025
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3 more citing papers are in PubMed but not listed here.

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

7 authors at 3 institutions in 2 countries.

Mahsaw N MotlaghDepartment of Ophthalmology, University of Arizona College of Medicine, Tucson, AZ, USA.
Majid MoshirfarDepartment of Ophthalmology and Visual Sciences, John A. Moran Eye Center, School of Medicine, University of Utah, Salt Lake City, UT, USA.
Michael S MurriDepartment of Ophthalmology and Visual Sciences, John A. Moran Eye Center, School of Medicine, University of Utah, Salt Lake City, UT, USA.
David F SkanchyDepartment of Ophthalmology and Visual Sciences, W.K. Kellogg Eye Center, Medical School, University of Michigan, Ann Arbor, MI, USA.
Hamed Momeni-MoghaddamDepartment of Optometry, School of Paramedical Sciences, Mashhad University of Medical Sciences, Mashhad, Iran.
Yasmyne C RonquilloHDR Research Center, Hoopes Vision, Draper, UT, USA.
Phillip C HoopesHDR Research Center, Hoopes Vision, Draper, UT, USA.
Hoopes Vision · USMashhad University of Medical Sciences · IRUniversity of Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Corneal tomography and Scheimpflug imaging are frequently used to analyze the corneal surface, especially in the field of cataract and refractive surgery. The Pentacam system is one of the most commonly used commercially available systems for this purpose. Through a rotating Scheimpflug camera, the system is capable of creating a three-dimensional map of the cornea. These advances in tomography have simultaneously enhanced the ability of clinicians to screen surgical candidates and detect subtle corneal changes in diseases such as keratoconus. However, there remains a need to enhance diagnosis in order to recognize mild and early forms of corneal ectasia. As iatrogenic ectasia and keratoconus are dreaded complications of refractive surgery, it is imperative to screen patients appropriately prior to surgery. The Pentacam is one of many systems utilized in the screening process, but the literature has not identified specific protocol nor parameters that are capable of carrying out this process appropriately. Post-operative keratoconus continues to occur despite the advances in technology seen in corneal imaging. Therefore, clear indices for screening are required in order to diagnose early forms of keratoconus and other corneal diseases that may exclude the seemingly asymptomatic patient from undergoing refractive surgery. This article aims to summarize the indices available on the Pentacam system and to identify the most accurate parameters for screening of the refractive surgery candidate.

Indexed as

CorneaKeratoconusPentacamRefractive SurgeryTomography

Identifiers

PMID31598520
PMCPMC6778463
OpenAlexW2985281914

What OpenQuestion holds

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Registered trials

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.