Evidence map›Paper›PMID 29531479›Full record

ArticleClinical medicine insights. Ear, nose and throat2018

Intraoperative Functional Endoscopic Sinus Surgery Training: Efficient Teaching Techniques-A New Method.

Henya Sandhaus, Philip G Chen

Open access · diamondAbstract read
In one paragraph

Article in Clinical medicine insights. Ear, nose and throat, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

0 citing papers in PubMed, 10 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 2 institutions in 1 country.

Henya SandhausTouro College of Osteopathic Medicine, Middletown, NY, USA.
Philip G ChenDepartment of Otolaryngology-Head and Neck Surgery, University of Texas Health Science Center San Antonio, San Antonio, TX, USA.
The University of Texas Health Science Center at San Antonio · USTouro College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFunctional endoscopic sinus surgery is a complex procedure used by otorhinolaryngologists to treat a host of nasal sinus pathologies. Due to the involved nasal anatomy and the nature of the procedure, teaching residents to use an endoscope is challenging. Simulation labs have been helpful but intraoperative instruction can still present difficulty in communication between resident and attending physicians during the teaching process. The purpose of this is to hypothesize a method of teaching intraoperatively that can be used supplemental to or independently of virtual reality teaching.

methodLiterature review to determine current intraoperative verbal teaching methods used by surgeons was performed. Review was also performed on the effects of simulation techniques in preparing residents for the operating room. Although this was not a systematic review including statistical analysis, a gap was found in the literature on how residents can be efficiently taught intraoperatively to navigate an endoscope while maintaining patient safety. A novel and inexpensive method has been devised as a possible teaching method.

conclusionsExtensive literature is not available in intraoperative teaching techniques. It is therefore uncertain whether such a method has been used before. Further study, possibly in the form of surveys and intraoperative trials, must be done to determine the effectiveness of this mechanism.

Indexed as

endoscopic trainingFESSresident educationsurgical education

Identifiers

PMID29531479
PMCPMC5843097
OpenAlexW2791979450

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.