Evidence map›Paper›PMID 29158547›Full record

ArticleScientific reports2017

Keratoconus Detection Based on a New Corneal Volumetric Analysis.

Francisco Cavas-Martínez, Laurent Bataille, Daniel G Fernández-Pacheco, Francisco J F Cañavate, Jorge L Alio

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. 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
3.4field-weighted citation impact, top 7% 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, 33 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Francisco Cavas-MartínezTechnical University of Cartagena, Department of Graphical Expression, Cartagena, Spain. francisco.cavas@upct.es.
Laurent BatailleTechnical University of Cartagena, Department of Graphical Expression, Cartagena, Spain.
Daniel G Fernández-PachecoTechnical University of Cartagena, Department of Graphical Expression, Cartagena, Spain.
Francisco J F CañavateTechnical University of Cartagena, Department of Graphical Expression, Cartagena, Spain.
Jorge L AlioDivision of Ophthalmology, Universidad Miguel Hernández, Alicante, Spain.
Universidad Politécnica de Cartagena · ESMiranza · ESUniversitat de Miguel Hernández d'Elx · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are numerous tomographic indices for the detection of keratoconus risk. When the indexes based on corneal volume are analyzed, two problems are presented: on the one hand, they are not very sensitive to the detection of incipient cases of keratoconus because they are not locally defined in the primary developmental region of the structural abnormalities; and on the other hand, they do not register the geometric decompensation driven by the asymmetry present during the disease progression. This work performed a morphogeometric modeling of the cornea by the aid of CAD tools and using raw topographic data (Sirius system, CSO, Firenze). For this method, four singular points present on the corneal surfaces were located and the following parameters based on corneal volume were calculated: VOL

Indexed as

AdolescentAdultAgedCorneaCorneal PachymetryCorneal TopographyDisease ProgressionFemaleHumansKeratoconusMaleMiddle AgedRisk FactorsROC CurveTomographyYoung Adult

Identifiers

PMID29158547
PMCPMC5696512
OpenAlexW2770962765

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.