Evidence map›Paper›PMID 38319899›Full record

ArticlePloS one2024

Factors predicting the visual outcome of intracorneal ring segment for keratoconus.

Apisit Khanthik, Ngamjit Kasetsuwan, Sasi Yaisawang, Usanee Reinprayoon, Vilavun Puangsricharern, Vannarut Satitpitakul

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Keratoconus.Nature reviews. Disease primers · 2024
    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

6 authors at 1 institution in 1 country.

Apisit KhanthikFaculty of Medicine, Department of Ophthalmology, Chulalongkorn University, Bangkok, Thailand.ORCID 0000-0002-8365-563X
Ngamjit KasetsuwanFaculty of Medicine, Department of Ophthalmology, Chulalongkorn University, Bangkok, Thailand.ORCID 0000-0003-1926-4666
Sasi YaisawangFaculty of Medicine, Department of Ophthalmology, Chulalongkorn University, Bangkok, Thailand.
Usanee ReinprayoonFaculty of Medicine, Department of Ophthalmology, Chulalongkorn University, Bangkok, Thailand.
Vilavun PuangsricharernFaculty of Medicine, Department of Ophthalmology, Chulalongkorn University, Bangkok, Thailand.
Vannarut SatitpitakulFaculty of Medicine, Department of Ophthalmology, Chulalongkorn University, Bangkok, Thailand.
Chulalongkorn University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify predictive factors and to construct predictive models using epidemiological and clinical preoperative factors for the visual acuity change after intracorneal ring segment (ICRS) implantation in patients with keratoconus.

methodsThe medical records of 287 keratoconic eyes of 230 patients implanted with ICRS at Chula Refractive Surgery Center of a tertiary university hospital (Bangkok, Thailand) between January 2012 and March 2022 were retrospectively reviewed for epidemiological and clinical preoperative variables, including those derived from Scheimpflug tomography. After randomly excluding one eye for each bilateral case, the remaining 230 eyes were randomized into two groups: a training group (184 eyes) and a validation group (46 eyes). In the training group, the correlation between the interesting variables and postoperative uncorrected and corrected distance visual acuity change (ΔUDVA and ΔCDVA; logMAR scale) at 6 months was explored, and then the multiple linear regression analysis was used to develop the predictive models. The obtained models were tested using the validation group.

resultsThere were 5 and 14 preoperative variables that statistically correlated with ΔUDVA and ΔCDVA respectively. Only the preoperative corrected distance visual acuity (CDVAp) strongly correlated with ΔCDVA (Beta = -0.746). Using multiple regression, the preoperative uncorrected distance visual acuity (UDVAp) and front mean keratometry were selected in the proposed model for ΔUDVA (adjusted R2 = 38.8%), while the CDVAp and index of surface variance (ISV) were selected in the model [Formula: see text] (adjusted R2 = 48.9%). The ΔUDVA and ΔCDVA models were correct in 47.83% and 63.4% of the validation group within 0.20 logMAR, respectively.

conclusionsPotential predictive factors and models for ICRS-induced changes in visual acuity are proposed as adjunctive tools for clinicians. Such tools could be used for case selection and during counselling before ICRS implantation to maximize surgical outcomes.

Indexed as

KeratoconusCorneal StromaCorneal TopographyEye, ArtificialHumansProstheses and ImplantsProsthesis ImplantationRefraction, OcularRetrospective StudiesThailand

Identifiers

PMID38319899
PMCPMC10846708
OpenAlexW4391560127

What OpenQuestion holds

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LicenceCC BY
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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.