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Record W2004560680 · doi:10.1111/ger.12121

Mandibular cortical indices on cone‐beam computed tomography images in osteoporotic women on treatment with oral bisphosphonates

2014· article· en· W2004560680 on OpenAlexfundno aff
Márcio Diniz Freitas, Paula Fernández‐Montenegro, Javier Fernández Feijoo, Jacobo Limeres Posse, A. González-Mosquera, Emma Vázquez‐García, Pedro Diz Dios

Bibliographic record

VenueGerodontology · 2014
Typearticle
Languageen
FieldMedicine
TopicBone health and treatments
Canadian institutionsnot available
FundersFaculty of Medicine and Dentistry, University of AlbertaServicio Gallego de SaludUniversidade de Santiago de Compostela
KeywordsMedicineOsteoporosisCone beam computed tomographyDentistryMental foramenCortical boneOsteonecrosis of the jawMandible (arthropod mouthpart)BisphosphonateOrthodonticsComputed tomographyInternal medicineRadiographyRadiologyAnatomy

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate the mandibular cortical indices in osteoporotic women receiving oral bisphosphonates (oBPs). MATERIAL AND METHODS: The study group included 46 Caucasian women aged over 55 years on treatment with oBPs for postmenopausal osteoporosis. Information recorded included age, weight, height, type of oBP, duration of treatment, comorbid conditions and coadjuvant medication. Forty-six age-matched Caucasian women with no known diagnosis of osteoporosis were selected as the control group. All participants underwent cone-beam computed tomography, and the mandibular cortical width (MCW) and the height from the inferior mandibular border to the mental foramen (MBMF) were measured. RESULTS: The MBMF was similar in the participants with osteoporosis and in controls. MCW was significantly greater in the participants with osteoporosis than in the controls (p < 0.001). CONCLUSION: Mandibular cortical width should not be used to predict the risk of bisphosphonate-associated osteonecrosis of the jaws.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.270
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations21
Published2014
Admission routes1
Has abstractyes

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