Evidence map›Paper›PMID 33195810›Full record

ArticleJournal of dental anesthesia and pain medicine2020

Computed tomography-guided 3D printed patient-specific regional anesthesia.

Jonathon S Jundt, Christopher C Chow, Marcus Couey

Abstract readCase Reports
In one paragraph

Article in Journal of dental anesthesia and pain medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Jonathon S JundtDepartment of Oral and Maxillofacial Surgery, The University of Texas, Houston, Texas, United States.ORCID https://orcid.org/0000-0002-3544-6331
Christopher C ChowDepartment of Oral and Maxillofacial Surgery, The University of Texas, Houston, Texas, United States.ORCID https://orcid.org/0000-0001-5540-0544
Marcus CoueyHead and Neck Oncologic and Microvascular Reconstructive Surgery, Providence Cancer Institute, Houston, Texas, United States.ORCID https://orcid.org/0000-0002-9464-2682

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Classic anesthetic techniques for the inferior alveolar nerve, lingual nerve, and long buccal nerve blockade are achieved by estimating the intended location for anesthetic deposition based on palpation, inspection, and subsequent correlation for oral anatomical structures. The present article utilizes computed tomography (CT) data to 3D print a guide for repeatable and accurate deposition of a local anesthetic at the ideal location. This technical report aims to anatomically define the ideal location for local anesthetic deposition. This process has the potential to reduce patient discomfort, risk of nerve damage, and failed mandibular anesthesia, as well as to reduce the total anesthetic dose. Lastly, as robotic-based interventions improve, this provides the initial framework for robot-guided regional anesthesia administration in the oral cavity.

Indexed as

3D PrintingGuided Regional AnesthesiaLocal Anesthesia

Identifiers

PMID33195810
PMCPMC7644355

What OpenQuestion holds

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LicenceCC BY-NC
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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.