Evidence map›Paper›PMID 37046522›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Estimation of Distances within Real and Virtual Dental Models as a Function of Task Complexity.

Masrour Makaremi, Rafael Ristor, François de Brondeau, Agathe Choquart, Camille Mengelle, Bernard N'Kaoua

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. 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. Review
  2. Visuospatial abilities and 3D-printed based learning.Surgical and radiologic anatomy : SRA · 2024
    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

6 authors.

Masrour MakaremiEquipe ACTIVE, BPH U1219, Inserm/University of Bordeaux, 146 rue Léo Saignat, CEDEX, 33076 Bordeaux, France.
Rafael RistorEquipe ACTIVE, BPH U1219, Inserm/University of Bordeaux, 146 rue Léo Saignat, CEDEX, 33076 Bordeaux, France.
François de BrondeauDepartment of Dentofacial Orthopedics, College of Health Sciences, University of Bordeaux, 146 rue Léo Saignat, CEDEX, 33076 Bordeaux, France.
Agathe ChoquartEquipe ACTIVE, BPH U1219, Inserm/University of Bordeaux, 146 rue Léo Saignat, CEDEX, 33076 Bordeaux, France.
Camille MengelleDepartment of Dentofacial Orthopedics, College of Health Sciences, University of Bordeaux, 146 rue Léo Saignat, CEDEX, 33076 Bordeaux, France.
Bernard N'KaouaEquipe ACTIVE, BPH U1219, Inserm/University of Bordeaux, 146 rue Léo Saignat, CEDEX, 33076 Bordeaux, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Orthodontists have seen their practices evolve from estimating distances on plaster models to estimating distances on non-immersive virtual models. However, if the estimation of distance using real models can generate errors (compared to the real distance measured using tools), which remains acceptable from a clinical point of view, is this also the case for distance estimation performed on digital models? To answer this question, 50 orthodontists (31 women and 19 men) with an average age of 36 years (σ = 12.84; min = 23; max = 63) participated in an experiment consisting of estimating 3 types of distances (mandibular crowding, inter-canine distance, and inter-molar distance) on 6 dental models, including 3 real and 3 virtual models. Moreover, these models were of three different levels of complexity (easy, medium, and difficult). The results showed that, overall, the distances were overestimated (compared to the distance measured using an instrument) regardless of the situation (estimates on real or virtual models), but this overestimation was greater for the virtual models than for the real models. In addition, the mental load associated with the estimation tasks was considered by practitioners to be greater for the estimation tasks performed virtually compared to the same tasks performed on plaster models. Finally, when the estimation task was more complex, the number of estimation errors decreased in both the real and virtual situations, which could be related to the greater number of therapeutic issues associated with more complex models.

Indexed as

distance perceptionorthodonticsvirtual systemsworkload

Identifiers

PMID37046522
PMCPMC10092974

What OpenQuestion holds

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Registered trials

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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.