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Record W6999968064

Efecto de la terapia antirretroviral sobre el deterioro cognitivo en pacientes con VIH

2021· dissertation· es· W6999968064 on OpenAlexaboutno aff

Bibliographic record

VenueALICIA National Digital Repository (Antenor Orrego Private University) · 2021
Typedissertation
Languagees
FieldEnvironmental Science
TopicPublic Health and Environmental Issues
Canadian institutionsnot available
Fundersnot available
KeywordsAntiretroviral treatmentHuman immunodeficiency virus (HIV)ThimerosalAntiretroviral therapyBreastfeeding
DOInot available

Abstract

fetched live from OpenAlex

Objetivo: Determinar el efecto de la terapia antirretroviral sobre el deterioro cognitivo en pacientes con VIH atendidos en la unidad del Programa de control de enfermedades de transmisión sexual y SIDA (PROCETS): Epidemiología – HBT en el año 2019 – 2020. Método: Estudio cuasiexperimental, prospectivo; en el que se siguió durante 12 meses a 42 pacientes con VIH que iniciaban tratamiento antirretroviral (TARV) entre los meses diciembre 2019 – marzo 2020 en el Hospital Belén de Trujillo, de los cuáles 2 pacientes se perdieron, por lo que se trabajó con los 40 pacientes restantes, a estos se les aplicó el test de evaluación cognitiva de Montreal (MoCa test) para evaluar si existe o no deterioro cognitivo antes de iniciar el TARV y después de 12 meses de tratamiento antirretroviral, posteriormente se compararon los resultados y se determinó el efecto de la TARV sobre el deterioro cognitivo. Para esto se utilizó la prueba estadística de McNemar. Resultados: 19 pacientes (47.5%) presentaron deterioro cognitivo antes de iniciar el TARV, después de 12 meses de tratamiento la frecuencia de pacientes con deterioro cognitivo disminuyó significativamente a 11 (27.5%), p<0.021. Conclusión: La terapia antirretroviral disminuye el deterioro cognitivo en pacientes con VIH.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.230
Teacher spread0.225 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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