Evidence map›Paper›PMID 31912243›Full record

ArticleClinical oral investigations2020

A new cone-beam computed tomography-driven index for osteoporosis prediction.

Julia Gonçalves Koehne de Castro, Bruno Fontenele Carvalho, Nilce Santos de Melo, Paulo Tadeu de Souza Figueiredo, Carla Ruffeil Moreira-Mesquita, Karla de Faria Vasconcelos, Reinhilde Jacobs, André Ferreira Leite

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Article in Clinical oral investigations, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
4.0field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 35 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

8 authors at 3 institutions in 3 countries.

Julia Gonçalves Koehne de CastroDepartment of Dentistry, Faculty of Health Sciences, University of Brasilia, Campus Universitário Darcy Ribeiro, Brasília, Zip Code 70910-900, Brazil.
Bruno Fontenele CarvalhoDepartment of Dentistry, Faculty of Health Sciences, University of Brasilia, Campus Universitário Darcy Ribeiro, Brasília, Zip Code 70910-900, Brazil.
Nilce Santos de MeloDepartment of Dentistry, Faculty of Health Sciences, University of Brasilia, Campus Universitário Darcy Ribeiro, Brasília, Zip Code 70910-900, Brazil.
Paulo Tadeu de Souza FigueiredoDepartment of Dentistry, Faculty of Health Sciences, University of Brasilia, Campus Universitário Darcy Ribeiro, Brasília, Zip Code 70910-900, Brazil.
Carla Ruffeil Moreira-MesquitaDepartment of Dentistry, Faculty of Health Sciences, University of Brasilia, Campus Universitário Darcy Ribeiro, Brasília, Zip Code 70910-900, Brazil.
Karla de Faria VasconcelosDepartment Imaging and Pathology, Biomedical Sciences, Omfsimpath Research Group, KULeuven and Dentomaxillofacial Imaging Department, University Hospitals Leuven, Leuven, Belgium.
Reinhilde JacobsDepartment Imaging and Pathology, Biomedical Sciences, Omfsimpath Research Group, KULeuven and Dentomaxillofacial Imaging Department, University Hospitals Leuven, Leuven, Belgium.
André Ferreira LeiteDepartment of Dentistry, Faculty of Health Sciences, University of Brasilia, Campus Universitário Darcy Ribeiro, Brasília, Zip Code 70910-900, Brazil. andreleite@unb.br.ORCID http://orcid.org/0000-0002-7803-4740
Universidade de Brasília · BRKarolinska Institutet · SEKU Leuven · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo verify whether mandibular cortical analyses accurately distinguish postmenopausal women with normal bone mineral density (BMD) from women with osteoporosis by means of a cone-beam computed tomography (CBCT)-driven composite osteoporosis index (three-dimensional mandibular osteoporosis index-3D MOI). MATERIAL AND

methodsThe comparison was performed between 52 women with normal BMD and 51 women with osteoporosis according to dual-energy X-ray absorptiometry (DXA) examination of the lumbar spine and hip. Mandibular cortical width (MCW) and cortical quality were evaluated on cross-sectional and panoramic reconstructed images. ANOVA, ROC curves and accuracy measurements were used for statistical analyses, as well as a predictive model combining the quantitative and qualitative analyses and age.

resultsAll CBCT-driven measurements presented good to moderate intra- and interobserver agreements. MCW values were significantly lower in women with osteoporosis. Postmenopausal women with osteoporosis were 8 times more likely to have the cortex classified as C3, and 2.4 times more likely to have MCW thinner than 2.75 mm. The area under the ROC curve was 0.8 for the predictive model.

conclusionsThe newly developed 3D MOI enables distinguishing women with osteoporosis from those with normal BMD with good sensitivity and specificity. CLINICAL RELEVANCE: Whenever a CBCT scan is performed for specific clinical indications, a 3D MOI may be performed to qualitatively and quantitatively assess the condition of the mandibular cortex. This may be surely helpful to assess the osteoporosis status in the ageing population and more specifically in peri- or postmenopausal women.

Indexed as

Cone-Beam Computed TomographyOsteoporosisOsteoporosis, PostmenopausalAbsorptiometry, PhotonBone DensityCross-Sectional StudiesFemaleHumansMandibleRadiography, PanoramicBone densityCone-beam computed tomographyOsteoporosisSensitivity and specificity

Identifiers

PMID31912243
OpenAlexW2999668965

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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.