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Record W2607758755

Retención y desgaste de tres sistemas de “attachment” para prótesis totales mandibulares sobre implantes – estudio in vitro

2016· dissertation· es· W2607758755 on OpenAlexaboutno aff
Aroso Ribeiro, Carlos Manuel

Bibliographic record

VenueTDX (Tesis Doctorals en Xarxa) · 2016
Typedissertation
Languagees
FieldDentistry
TopicDental Implant Techniques and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Las sobredentaduras mandibulares retenidas por dos implantes son reconocidas como la primera opcion de tratamiento para pacientes edentulos, tal como recoge la Universidad McGill (Canada) en su declaracion de consenso publicada en 2002 y la sociedad britanica para el estudio de la odontologia protesica, en su declaracion de consenso de York, publicada en 2009. Al compararlas con protesis completas convencionales, proporcionan una mayor satisfaccion del paciente, una mayor capacidad masticatoria y una preservacion de altura de la cresta residual. El objetivo de este trabajo es evaluar la durabilidad y capacidad de retencion de attachments a largo del tiempo en inclinacion de 0°, 10° e 20° y en saliva artificial a 37°C. El diseno experimental tomo en cuenta la existencia de 3 tipos distintos de sistemas de attachments (Clix®: Preat Corporation, Santa Ynez, CA, United States; Dalbo-Plus®: Cendres+ Metaux, Biel/Bienne, Suiza; Locator®: Zest Anchors,Inc ,Escondido, United States), 3 inclinaciones diferentes y uno tipo de saliva artificial ( pH 7). Los 72 attachments fueron testados en una maquina de ensayo de fatiga durante 5400 ciclos (cinco anos) y se registraron los valores de retencion en ocho momentos diferentes (inicio, un mes, seis meses, un ano, dos anos, tres anos, cuatro anos, cinco anos). El analisis de los resultados demostro que la media de retencion (insercion y desinsercion) de los attachments fue siempre mayor en inclinacion de 0° do que en inclinacion de 20°. Todos los attachments del estudio han perdido valor maximo de retencion. La inclinacion influye en el valor de la fuerza intrinseca de cada attachment y tiene influencia en su durabilidad a lo largo del tiempo.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.027
GPT teacher head0.349
Teacher spread0.322 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2016
Admission routes1
Has abstractyes

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