Evidence map›Paper›PMID 35394208›Full record

ArticleGraefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie2022

Comparison of the decompressive effect of different surgical procedures for dysthyroid optic neuropathy using 3D printed models.

Kinga Yo, Kunihiro Nishimura, Yasuhiro Takahashi, Hiroki Yokota, Naoyuki Hatayama, Tetsuro Hoshino, Munekazu Naito, Tetsuya Ogawa, Yasushi Fujimoto

Open access · hybridAbstract read
In one paragraph

Article in Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Age-stratified anatomical differences of orbital floor and medial orbital wall blowout fractures.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2025
    Observational
  3. Review
  4. 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

9 authors at 4 institutions in 1 country.

Kinga YoDepartment of Otorhinolaryngology, Aichi Medical University School of Medicine, 1-1 Yazakokarimata, Nagakute, Aichi, 4801195, Japan.
Kunihiro NishimuraDepartment of Otorhinolaryngology, Aichi Medical University School of Medicine, 1-1 Yazakokarimata, Nagakute, Aichi, 4801195, Japan.
Yasuhiro TakahashiDepartment of Oculoplastic, Orbital and Lacrimal Surgery, Aichi Medical University Hospital, Nagakute, Aichi, Japan.
Hiroki YokotaDepartment of Mechanical Engineering, Meijo University, Nagoya, Aichi, Japan.
Naoyuki HatayamaDepartment of Anatomy, Aichi Medical University School of Medicine, Nagakute, Aichi, Japan.
Tetsuro HoshinoDepartment of Sleep Medicine and Sleep Disorder Center, Aichi Medical University Hospital, Nagakute, Aichi, Japan.
Munekazu NaitoDepartment of Anatomy, Aichi Medical University School of Medicine, Nagakute, Aichi, Japan.
Tetsuya OgawaDepartment of Otorhinolaryngology, Aichi Medical University School of Medicine, 1-1 Yazakokarimata, Nagakute, Aichi, 4801195, Japan. ogawate@aichi-med-u.ac.jp.
Yasushi FujimotoDepartment of Otorhinolaryngology, Aichi Medical University School of Medicine, 1-1 Yazakokarimata, Nagakute, Aichi, 4801195, Japan.
Aichi Medical University · JPAichi Medical University Hospital · JPMeijo University · JPToyota Central Research and Development Laboratories (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo compare the decompressive effect around the optic nerve canal among 3 different decompression procedures (medial, balanced, and inferomedial) using 3D printed models.

methodsIn this experimental study, based on data obtained from 9 patients (18 sides) with dysthyroid optic neuropathy, a preoperative control model and 3 plaster decompression models were created using a 3D printer (total, 72 sides of 36 models). A pressure sensor was placed at the optic foramen, and the orbital space was filled with silicone. The surface of the silicone was pushed down directly, and changes in pressure were recorded at 2-mm increments of pushing.

resultsAt 10 mm of pushing, there was significantly lower pressure in the medial (19,782.2 ± 4319.9 Pa, P = 0.001), balanced (19,448.3 ± 3767.4 Pa, P = 0.003), and inferomedial (15,855.8 ± 4000.7 Pa, P < 0.001) decompression models than in the control model (25,217.8 ± 6087.5 Pa). Overall, the statistical results for each 2-mm push were similar among the models up to 10 mm of pushing (P < 0.050). At each push, inferomedial decompression caused the greatest reduction in pressure (P < 0.050), whereas there was no significant difference in pressure between the medial and balanced decompression models (P > 0.050).

conclusionAll 3 commonly performed decompression procedures significantly reduced retrobulbar pressure. Because inferomedial decompression models obtained the greatest reduction in pressure on the optic nerve canal, inferomedial decompression should be considered the most reliable procedure for rescuing vision in dysthyroid optic neuropathy.

Indexed as

Graves OphthalmopathyOptic Nerve DiseasesDecompression, SurgicalHumansOptic NerveOrbitPrinting, Three-DimensionalRetrospective StudiesSiliconesSilicones3D printerBalanced orbital decompressionDysthyroid optic neuropathyInferomedial orbital wall decompressionMedial orbital wall decompression

Identifiers

PMID35394208
PMCPMC9418070
OpenAlexW4226124463

What OpenQuestion holds

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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.