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Record W7126470157 · doi:10.36104/amc.2025.4682

Infecciones del tracto urinario recurrentes en mujeres

2025· article· W7126470157 on OpenAlexaboutno aff
María Cristina Jiménez-Bazzano

Bibliographic record

VenueActa Médica Colombiana · 2025
Typearticle
Language
FieldMedicine
TopicUrinary Tract Infections Management
Canadian institutionsnot available
Fundersnot available
KeywordsAsymptomatic bacteriuriaQuarter (Canadian coin)Incidence (geometry)Population

Abstract

fetched live from OpenAlex

Introducción: las infecciones del tracto urinario (ITU) en mujeres son frecuentes, pueden presentarse a cualquier edad . Si son recurrentes produce impacto negativo en la calidad de vida y afecta a mujeres jóvenes o adultas mayores con factores de riesgo. Adoptar medidas profilácticas no antibióticas o uso de antibióticos a bajas dosis en forma continuada son las opciones de tratamiento. Objetivos: analizar la causas de infecciones del tracto urinario recurrente en mujeres y las medidas de prevención sin antibiotico o el uso de antibiótico para evitar la recurrencia Métodos: revisión narrativa con búsqueda bibliográfica en PubMed, Scopus, SciELO y Cocharane ,Google Scholar de artículos publicados entre 2008 y 2024. Resultados: se documenta evidencia de los principales tipos de infeccion urinaria en mujeres, no complicadas y complicadas y las medidas no farmacologica y farmacologicas adecuadas para prevención. Conclusiones: el manejo ITU-R requiere un enfoque individualizado, con uroanálisis previo y participación activa de la paciente en la elección terapéutica. Dada la resistencia bacteriana, se deben priorizar medidas generales y no antibióticas antes de la profilaxis

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.250
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.002

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 head0.010
GPT teacher head0.297
Teacher spread0.287 · 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 designNot applicable
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
Published2025
Admission routes1
Has abstractyes

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