Evidence map›Paper›PMID 40467758›Full record

ArticleNPJ digital medicine2025

The Nebraska Nomogram for Autograft Planning (NNAP) a surgical planning tool for ipsilateral rotational autokeratoplasty.

Collin Asheim, Ashok Puri, Helen Song, Brian Armstrong, Sam Navon, Ronald Krueger

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Collin AsheimDepartment of Ophthalmology and Visual Sciences, Stanley M. Truhlsen Eye Institute, University of Nebraska Medical Center, Omaha, NE, USA.
Ashok PuriDepartment of Ophthalmology and Visual Sciences, Stanley M. Truhlsen Eye Institute, University of Nebraska Medical Center, Omaha, NE, USA.
Helen SongDepartment of Ophthalmology and Visual Sciences, Stanley M. Truhlsen Eye Institute, University of Nebraska Medical Center, Omaha, NE, USA.
Brian ArmstrongDepartment of Ophthalmology and Visual Sciences, Stanley M. Truhlsen Eye Institute, University of Nebraska Medical Center, Omaha, NE, USA.
Sam NavonHoskinson Health and Wellness Center, Gillette, WY, USA.
Ronald KruegerDepartment of Ophthalmology and Visual Sciences, Stanley M. Truhlsen Eye Institute, University of Nebraska Medical Center, Omaha, NE, USA. ronald.krueger@unmc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Corneal opacification impairs vision and may necessitate surgery. Ipsilateral rotational autokeratoplasty (IRA) offers an alternative to allograft keratoplasty for treating localized opacities within the visual axis while minimizing risks. A novel digital twin software was developed to assess IRA feasibility and optimize surgical planning. Using corneal imaging, pachymetry, topography, and corneal white to white measurements, the software dynamically adjusts surgical variables, including trephine size and placement, graft rotation, and curvature matching, without manual calculations. This tool provides precise graft placement parameters to maximize the amount of clear cornea in the visual axis. Retrospective use on a past IRA case confirmed its accuracy and significantly reduced planning time. A patient undergoing IRA with this software achieved successful graft placement, improved visual function, and no post-operative complication or rejection. By reducing cognitive load and standardizing planning, this software enhances IRA procedures, making them more efficient and standardized.

Identifiers

PMID40467758
PMCPMC12137605

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.