Evidence map›Paper›PMID 27456277›Full record

ArticleSurgery today2017

A novel three-dimensional print of liver vessels and tumors in hepatectomy.

Yukio Oshiro, Jun Mitani, Toshiyuki Okada, Nobuhiro Ohkohchi

Abstract read
PubMed Publisher
In one paragraph

Article in Surgery today, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
4.5field-weighted citation impact, top 5% 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. 3D Printing of Physical Organ Models: Recent Developments and Challenges.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Review
  15. Article
  16. Article
  17. Article
  18. Observational
  19. Article
  20. UEG Week 2019 Oral Presentations.United European gastroenterology journal · 2019
    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

4 authors at 1 institution in 1 country.

Yukio OshiroDivision of Gastroenterological and Hepatobiliary Surgery, and Organ Transplantation, Department of Surgery, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, 305-8575, Japan.
Jun MitaniDepartment of Computer Science, Graduate School of System Information Engineering, University of Tsukuba, Tsukuba, Japan.
Toshiyuki OkadaDivision of Gastroenterological and Hepatobiliary Surgery, and Organ Transplantation, Department of Surgery, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, 305-8575, Japan.
Nobuhiro OhkohchiDivision of Gastroenterological and Hepatobiliary Surgery, and Organ Transplantation, Department of Surgery, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, 305-8575, Japan. nokochi3@md.tsukuba.ac.jp.
University of Tsukuba · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Creating a three-dimensional (3D)-printed liver model is costly, and the visibility of the inner structures is slightly hindered. We developed a novel structure that simultaneously solves both of these problems. The outer frames were set up along the liver surface. Our structure did not use the transparent loading material because this material increases the printing cost. Therefore, we were able to directly observe the inside of the structure. We performed hepatectomy using this novel 3D-printed liver model. Using this model, we were able to clearly simulate the resection line and safely perform the surgery. Our process was more cost effective, had a shorter production time, and improved the visibility than other processes. We developed a novel 3D-printed liver for hepatectomy, which made the procedure easier, reduced the production cost, and improved the visibility; this approach may be useful for future surgeries.

Indexed as

Models, AnatomicPrinting, Three-DimensionalCost SavingsHepatectomyHumansLiverLiver NeoplasmsTomography, X-Ray Computed3-D printhepatectomyLiver model

Identifiers

PMID27456277
OpenAlexW2483421523

What OpenQuestion holds

Textmetadata
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.