Evidence map›Paper›PMID 37161444›Full record

ArticleBMC oral health2023

Comparison of the learning curve of intraoral scanning with two different intraoral scanners based on scanning time.

Ivett Róth, Péter Hermann, Viktória Vitai, Gellért Levente Joós-Kovács, Zoltán Géczi, Judit Borbély

Open access · goldAbstract read
In one paragraph

Article in BMC oral health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.2field-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

9 citing papers in PubMed, 20 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Ivett RóthDepartment of Prosthodontics, Semmelweis University, Szentkiralyi street 47, Budapest, 1088, Hungary. roth.ivett@dent.semmelweis-univ.hu.
Péter HermannDepartment of Prosthodontics, Semmelweis University, Szentkiralyi street 47, Budapest, 1088, Hungary.
Viktória VitaiDepartment of Prosthodontics, Semmelweis University, Szentkiralyi street 47, Budapest, 1088, Hungary.
Gellért Levente Joós-KovácsDepartment of Prosthodontics, Semmelweis University, Szentkiralyi street 47, Budapest, 1088, Hungary.
Zoltán GécziDepartment of Prosthodontics, Semmelweis University, Szentkiralyi street 47, Budapest, 1088, Hungary.
Judit BorbélyDepartment of Prosthodontics, Semmelweis University, Szentkiralyi street 47, Budapest, 1088, Hungary.
Semmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe appearance of intraoral scanners (IOSs) in dental offices was an important milestones for the digital innovations in dentistry. Knowing the learning curve for intraoral scanning is crucial, because it can serve as a guideline for clinicians before buying a new IOS. The aim of the present in vivo study was to determine the learning curve required by dental students for intraoral scanning with the 3Shape Trios 4 IOS and the CEREC Primescan IOS, based on scanning time.

methodsA total of 20 dental students with no previous experience in intraoral scanning participated in the present study. 10 students scanned with Trios 4® IOS (TRI) and 10 students took digital impressions with Primescan® IOS (CER). Every student created 15 digital impressions from patients. Prior to taking the impressions, theoretical and practical education was provided. The total scanning time included the upper and lower arches as well as bite registration, for which average values were calculated. Statistical analysis was performed using the Stata package with a mixed-effects generalized least squares regression models.

resultsThe average total scanning times were the following: TRI - 205 s for the 1st impression, 133.6 s for the 15th, CER - 289.8 s for the 1st impression, 147 s for the 15th. The model-based estimate of the difference between the two in case of TRI was 57.5 s, and in CER was 144.2 s which is a highly significant improvement in both cases (P < 0.0001). The slope of the scanning time vs. learning phase curve gradually approached flatness, and maintained a plateau: TRI - from the 11th measurement and CER - from the 14th measurement onward.

conclusionsGiven the limitations of the present study, we found difference between the learning curve of scanner types which are operate various principle of imaging. In case of the TRI fewer digital impressions (11 repeating) were sufficient to reach the average scanning time of an experienced user than using CER (14 repeating).

trial registrationThe permission for this study was given by the University Ethics Committee of Semmelweis University (SE RKEB number: 184/2022).

Indexed as

Learning CurveResearch DesignEducational StatusHumansRadionuclide ImagingStudentsIntraoral scannerLearning curveScanning time

Identifiers

PMID37161444
PMCPMC10170701
OpenAlexW4376115731

What OpenQuestion holds

Textmetadata
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.