Prevalencia de lesión escamosa intraepitelial de cérvix en pacientes con diagnóstico citológico de atipia escamosa de significado indeterminado (ASCUS), en una institución de complejidad media en Bogotá, Colombia
Bibliographic record
Abstract
Objetivo: describir los hallazgos colposcópicos e histopatológicos de pacientes con diagnóstico citológico de atipias de células escamosas de significado indeterminado (ASCUS).Materiales y métodos: estudio de corte transversal entre febrero del 2003 y abril del 2005, en mujeres con diagnóstico citológico de ASCUS, en el Hospital Universitario de la Samaritana. Se evaluaron antecedentes ginecobstétricos y datos poblacionales de cada paciente con el programa estadístico SSPS 10.0Resultados: se analizaron 339 mujeres con una edad promedio de 39 años. Por colposcopia se diagnosticó un 37,8% de lesión escamosa intraepitelial de bajo grado (LEI BG) y un 10,9% de lesión escamosa intraepitelial de alto grado (LEI AG). En el diagnóstico por histopatología se detectó infección por virus del papiloma humano (VPH) en el 29,5% de los casos, LEI BG en el 15% y LEI AG en el 10,3%. Se encontró carcinoma (CA) invasivo en el 0,6% de los casos.Conclusión: en pacientes con ASCUS se encuentra una prevalencia importante de lesiones preneoplásicas que ameritan estudio colposcópico para impactar la mortalidad por esta patología.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".