La terapia cognitivo-conductual en el tratamiento de la ansiedad generalizada
Bibliographic record
Abstract
El desorden de ansiedad generalizada es una condicion comun en la poblacion general. Se trata de un estado de preocupacion y ansiedad constantes acerca de muchos acontecimientos o actividades. Suele manifestarse en la pubertad o en la edad adulta, aunque puede darse desde la infancia. Objetivo: revisar la eficacia de la terapia cognitivo-conductual en el tratamiento de la ansiedad generalizada. Metodologia: la revision de guias de practica clinica, revisiones sistematicas y ensayos clinicos se ha realizado en las siguientes bases de datos internacionales: Medline, National Guideline Clearinghouse (NGC), Tripdatabase, New Zealand Guideline, EBM Guidelines, National Health and Medical Research Council (Australia), National Insitute for Health and Clinical Excellence (NICE), CMA Infobase (Canada) y Cochrane Library Plus. Resultados y conclusiones: los estudios muestran que la terapia cognitivo-conductual es uno de los metodos mas utiles para el tratamiento de la ansiedad generalizada por su efectividad en la reduccion de los sintomas. En los centros de Atencion Primaria la ansiedad generalizada constituye el problema mental mas frecuente, por lo que resulta necesario instruir en el conocimiento y desarrollo de habilidades cognitivas y conductuales a los profesionales de estos centros con la finalidad de disminuir la prevalencia de este trastorno mental y, con ello, las cargas economicas y sociales que genera.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".