Evidence map›Paper›PMID 31073308›Full record

ArticleInternational journal of dentistry2019

Cone Beam Computed Tomography-Based Anatomical Assessment of the Olfactory Fossa.

Andre Luiz Ferreira Costa, Aline Kataki Paixão, Bianca Costa Gonçalves, Celso Massahiro Ogawa, Thiago Martinelli, Fernando Akio Maeda, Tarcila Trivino, Sérgio Lucio Pereira de Castro Lopes

Open access · goldAbstract read
In one paragraph

Article in International journal of dentistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Assessing Olfactory Fossa Depth and Its Relationship with the Variations in Adjacent Anatomical Structures by Using Cone Beam Computed Tomography (CBCT).Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2023
    Article
  2. Article
  3. Olfactory Fossa Evaluation as a Maxillary Sinus Development Using Cone Beam Computed Tomography.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2022
    Article
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  5. Article
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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

8 authors at 3 institutions in 1 country.

Andre Luiz Ferreira CostaPostgraduate Program in Dentistry, Cruzeiro do Sul University (UNICSUL), São Paulo, SP, Brazil.ORCID 0000-0003-4856-5417
Aline Kataki PaixãoDepartment of Diagnosis and Surgery, São José dos Campos Dental School, São Paulo State University (UNESP), São José dos Campos, SP, Brazil.
Bianca Costa GonçalvesDepartment of Diagnosis and Surgery, São José dos Campos Dental School, São Paulo State University (UNESP), São José dos Campos, SP, Brazil.
Celso Massahiro OgawaPostgraduate Program in Dentistry, Cruzeiro do Sul University (UNICSUL), São Paulo, SP, Brazil.
Thiago MartinelliDepartment of Orthodontics and Radiology, University of São Paulo City (UNICID), São Paulo, SP, Brazil.
Fernando Akio MaedaDepartment of Orthodontics and Radiology, University of São Paulo City (UNICID), São Paulo, SP, Brazil.
Tarcila TrivinoDepartment of Orthodontics and Radiology, University of São Paulo City (UNICID), São Paulo, SP, Brazil.
Sérgio Lucio Pereira de Castro LopesDepartment of Diagnosis and Surgery, São José dos Campos Dental School, São Paulo State University (UNESP), São José dos Campos, SP, Brazil.
Universidade de São Paulo · BRUniversidade Estadual Paulista (Unesp) · BRCentro Universitário Católico do Sudoeste do Paraná · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate the olfactory fossa according to the Keros classification using cone beam computed tomography. This cross-sectional study analysed cone beam computed tomography images selected from a database belonging to a radiology centre. The scans of 174 healthy patients were analysed by using the Xoran software. Gender, age, and side were correlated with the Keros classification. The mean age of the 174 patients was 45.3 years. The most prevalent Keros classification was type II (65.52%), followed by type III (20.69%) and type I (13.79%). No significant differences were found between Keros classification and the variables age, right side (

Identifiers

PMID31073308
PMCPMC6470455
OpenAlexW2929728605

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.