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Supervivencia de implantes dentales en pacientes con infección por VIH

2021· article· es· W3217425625 on OpenAlexaboutno aff
Pamela Ponce Marón, Edwin Ramos-Pilco, Alejandro Aldana Cáceres, Gustavo Allasi Tejada

Bibliographic record

VenueRevista Odontológica Basadrina · 2021
Typearticle
Languagees
FieldMedicine
TopicHIV/AIDS oral health manifestations
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesMedicineArt

Abstract

fetched live from OpenAlex

Objetivo: Identificar la tasa de supervivencia de implantes dentales en pacientes con infección por el virus de inmunodeficiencia humana (VIH). Material y métodos: Se realizó una búsqueda electrónica de estudios observacionales y experimentales publicados hasta marzo del 2021 en la base de datos PubMed, PubMed Central, Cochrane y en las revistas de Periodoncia e Implantes con mayor factor de impacto según ISI Web of Science. La evaluación del riesgo de sesgo de los artículos observacionales se evaluó mediante la escala Newcastle-Ottawa y el manual Cochrane Versión 5.1.0 para ensayos clínicos. Resultados: Se encontraron 08 estudios observacionales, 02 reportes de caso, 05 series de casos y 01 estudio de cohorte con un seguimiento de 1 a 12 años. Se colocaron un total de 1 033 implantes dentales, el conteo de linfocitos CD4+ presentó una media de 531.48 mm3. La tasa de supervivencia de implantes dentales en pacientes con VIH positivos fue de 95.31 %. Según la escala Newcastle-Ottawa, todos los artículos incluidos mostraron un bajo riesgo de sesgo. Conclusión: La presente revisión sistemática evidenció una tasa de supervivencia de los implantes dentales en pacientes con VIH positivos de 95.31 % con un tiempo de seguimiento de 1 a 12 años.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.399
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.019
GPT teacher head0.325
Teacher spread0.306 · 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 teacher head, not a consensus.

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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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