Evidence map›Paper›PMID 35275207›Full record

ArticleTranslational vision science & technology2022

The Learning Curve of Murine Subretinal Injection Among Clinically Trained Ophthalmic Surgeons.

Peirong Huang, Siddharth Narendran, Felipe Pereira, Shinichi Fukuda, Yosuke Nagasaka, Ivana Apicella, Praveen Yerramothu, Kenneth M Marion, Xiaoyu Cai, Srinivas R Sadda and 2 more

Open access · goldAbstract read
In one paragraph

Article in Translational vision science & technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Techniques for subretinal injections in animals.Veterinary ophthalmology · 2025
    Review
  4. Review
  5. Cell-cell interaction in the pathogenesis of inherited retinal diseases.Frontiers in cell and developmental biology · 2024
    Review
  6. Review
  7. 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

12 authors at 5 institutions in 5 countries.

Peirong HuangCenter for Advanced Vision Science, University of Virginia School of Medicine, Charlottesville, VA, USA.
Siddharth NarendranCenter for Advanced Vision Science, University of Virginia School of Medicine, Charlottesville, VA, USA.
Felipe PereiraCenter for Advanced Vision Science, University of Virginia School of Medicine, Charlottesville, VA, USA.
Shinichi FukudaCenter for Advanced Vision Science, University of Virginia School of Medicine, Charlottesville, VA, USA.
Yosuke NagasakaCenter for Advanced Vision Science, University of Virginia School of Medicine, Charlottesville, VA, USA.
Ivana ApicellaCenter for Advanced Vision Science, University of Virginia School of Medicine, Charlottesville, VA, USA.
Praveen YerramothuCenter for Advanced Vision Science, University of Virginia School of Medicine, Charlottesville, VA, USA.
Kenneth M MarionDoheny Eye Institute, Los Angeles, CA, USA.
Xiaoyu CaiCenter for Advanced Vision Science, University of Virginia School of Medicine, Charlottesville, VA, USA.
Srinivas R SaddaDoheny Eye Institute, Los Angeles, CA, USA.
Bradley D GelfandCenter for Advanced Vision Science, University of Virginia School of Medicine, Charlottesville, VA, USA.
Jayakrishna AmbatiCenter for Advanced Vision Science, University of Virginia School of Medicine, Charlottesville, VA, USA.
University of Virginia · USDoheny Eye Institute · USAravind Eye Hospital · INShanghai First People's Hospital · CNUniversity of Tsukuba · JP

Funding

Visual system and cognitive biology in normal animals versus in an animal model of Alzheimer's disease with or without diabetes treated with solo or dual inflammasome inhibitorsR01EY031039 · NEI · UNIVERSITY OF VIRGINIA · PI AMBATI, JAYAKRISHNA, GELFAND, BRADLEY DAVID · 2020 to 2024
$3.2M
Non-canonical inflammasome in activation in RPE degenerationR01EY029799 · NEI · UNIVERSITY OF VIRGINIA · PI AMBATI, JAYAKRISHNA · 2019 to 2022
$2.7M
Mechanistic basis of sexual dimorphism in antigen-independent IgG1 angiogenesis regulationR01HL164592 · NHLBI · UNIVERSITY OF VIRGINIA · PI Bradley David Gelfand · 2023 to 2026
$2.7M
Antigen-independent suppression of ocular angiogenesis via the Fc receptorR01EY028027 · NEI · UNIVERSITY OF VIRGINIA · PI AMBATI, JAYAKRISHNA, GELFAND, BRADLEY DAVID · 2018 to 2022
$2.2M
DICER1 deficiency in aberrant chorioretinal neovascularization - Administrative Supplement OKT RequestR01EY032512 · NEI · UNIVERSITY OF VIRGINIA · PI GELFAND, BRADLEY DAVID · 2021 to 2024
$2.1M
NEI NIH HHS R01 EY028027NEI NIH HHS R01 EY029799NEI NIH HHS R01 EY031039NEI NIH HHS R01 EY032512NHLBI NIH HHS R01 HL164592
6 · The paper itself

Abstract

Purpose: Subretinal injection (SRI) in mice is widely used in retinal research, yet the learning curve (LC) of this surgically challenging technique is unknown. Methods: To evaluate the LC for SRI in a murine model, we analyzed training data from three clinically trained ophthalmic surgeons from 2018 to 2020. Successful SRI was defined as either the absence of retinal pigment epithelium (RPE) degeneration after phosphate buffered saline injection or the presence of RPE degeneration after Alu RNA injection. Multivariable survival-time regression models were used to evaluate the association between surgeon experience and success rate, with adjustment for injection agents, and to calculate an approximate case number to achieve a 95% success rate. Cumulative sum (CUSUM) analyses were performed and plotted individually to monitor each surgeon's simultaneous performance. Results: Despite prior microsurgery experience, the combined average success rate of the first 50 cases in mice was only 27%. The predicted SRI success rate did not reach a plateau above 95% until approximately 364 prior cases. Using the 364 training cases as a cutoff point, the predicted probability of success for cases 1 to 364 was 65.38%, and for cases 365 to 455 it was 99.32% (P < 0.0001). CUSUM analysis showed an initial upward slope and then remained within the decision intervals with an acceptable success rate set at 95% in the late stage. Conclusions: This study demonstrates the complexity and substantial LC for successful SRI in mice with high confidence. A systematic training system could improve the reliability and reproducibility of SRI-related experiments and improve the interpretation of experimental results using this technique. Translational Relevance: Our prediction model and monitor system allow objective quantification of technical proficiency in the field of subretinal drug delivery and gene therapy for the first time, to the best of our knowledge.

Indexed as

OphthalmologistsSurgeonsAnimalsHumansLearning CurveMiceOperative TimeReproducibility of Results

Identifiers

PMID35275207
PMCPMC8934552
OpenAlexW4220984489

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.