Evidence map›Paper›PMID 37933328›Full record

ReviewClinical ophthalmology (Auckland, N.Z.)2023

Exploring Nomograms for Implantable Collamer Lens Size Selection in Myopia: A Literature-based Compilation.

Majid Moshirfar, Jordan M Santos, David S Cha, Michael Herron, Isabella M Stoakes, Phillip C Hoopes

Abstract readReview
In one paragraph

Review in Clinical ophthalmology (Auckland, N.Z.), 2023. 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. Article
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  6. Review
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.

Majid MoshirfarHoopes Vision Research Center, Hoopes Vision, Draper, UT, USA.ORCID 0000-0003-1024-6250
Jordan M SantosUniversity of Arizona College of Medicine Phoenix, Phoenix, AZ, USA.ORCID 0009-0008-1498-3374
David S ChaSaint Louis University School of Medicine, St Louis, MO, USA.
Michael HerronUniversity of Nevada, Reno School of Medicine, Reno, NV, USA.ORCID 0000-0001-5357-7661
Isabella M StoakesHoopes Vision Research Center, Hoopes Vision, Draper, UT, USA.
Phillip C HoopesHoopes Vision Research Center, Hoopes Vision, Draper, UT, USA.ORCID 0000-0002-2567-8331

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To provide a comprehensive guide of all implantable collamer lens (ICL) sizing nomograms and the respective preoperative diagnostic devices that are required. This guide would help clinicians in choosing the appropriate ICL size for myopic patients to optimize postoperative vault height. Methods: A literature search of peer-reviewed journals describing methods and postoperative outcomes of ICL sizing was conducted. Research articles containing ICL nomograms or formulas were identified from this search. Preoperative variables necessary for these nomograms and the required diagnostic devices to measure these parameters such as topography, biometry, or ultrasound biomicroscopy (UBM) were noted. An additional search was conducted to identify artificial intelligence (AI) or machine learning (ML)-derived nomograms. Results: Eighteen ICL sizing nomograms were identified through literature search. Five of these nomograms are available for use and require topography or biometry devices. Of these, four include the manufacturer's, optimized white-to-white (WTW), Kang, Kim, and Rocamora Nomograms. Eight of the 18 nomograms available for use require UBM. Eight of these include the Kojima, Nakamura, KS, ZZ, Dougherty, Parkhurst, Russo, and Reinstein Nomograms. Four of the 18 nomograms are ML-derived including Shen, Rocamora, Russo, and Kang Nomograms. Conclusion: ICL nomograms are a vital tool in helping clinicians select the right ICL size for myopic patients to optimize postoperative vault reducing risk of postoperative complications. Based on available diagnostic devices such as topography, biometry, or UBM clinicians can integrate specific nomograms into practice.

Indexed as

artificial intelligenceEVOICL formulaICL sizingimplantable contact lensmachine learning modelmyopiaphakic intraocular lenspIOLVisian ICL

Identifiers

PMID37933328
PMCPMC10625784

What OpenQuestion holds

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Registered trials

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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.