Tabaquisme i addicció a la nicotina. Relació amb el dolor de difícil control i l’edmonton classification system for cancer pain (ecs-cp)
Bibliographic record
Abstract
Catala.Objectiu: Realitzar la traduccio i la validacio linguistica al Catala i al castella de la “Quick Users Guide” de l’ Edmonton Classification System for Cancer Pain (ECS-CP). Metodologia: A partir de la traduccio de l’original i amb el proces de retrotraduccio i conciliacio linguistica es va obtenir una versio en catala i en castella. L’estudi de llegibilitat es va fer mitjancant l’Index de Llegibilitat de Flesch-Szigriszt (IFSZ) i l’Index de Fernandez-Huertas. Resultats: Per a les dues versions els resultats van ser d’una mica dificil i apte per a un nivell d’escolaritzacio de batxillerat. L’estudi de fiabilitat mitjancat el coeficient kappa promig va donar un resultat de 0,79 per a la versio catalana i de 0,83 per la castellana, reflexant un grau d’acord bo i molt bo, respectivament. En una mostra de 211 pacients oncologics avancats i fumadors el model multivariant de regressio logistica multiple va mostrar que l’edat 6 punts (addiccio severa a la nicotina) eren factors de risc de presentar dolor amb EVA > 6 (dolor sever). Castella. Objetivo: Realizar la traduccion y la validacion linguistica al catalan y al castellano de la “Quick Users Guide” de l’ Edmonton Classification System for Cancer Pain (ECS-CP). Metodologia: A partir de la traduccion del original y a traves de un proceso de retrotraduccion y de conciliacion linguistica se obtuvieron una version en catalan y otra en castellano. El estudio de legibilidad se realizo mediante el Indice de Legibilidad de Flesch-Szigriszt (IFSZ) y el Indice. Resultados: Para las dos versiones el resultado fue de un poco dificil y apto para una poblacion con nivel de escolarizacion de bachillerato. El estudio de fiabilidad mediante el coeficiente kappa promedio dio el resultado de 0,79 per a la version catalana y de 0,83 para la castellana, reflejando un grado de concordancia bueno y muy bueno, respectivamente. En una muestra de 211 pacientes oncologicos avanzados y fumadores el modelo multivariante de regresion logistica mostro que la edad 6 puntos (adiccion severa a la nicotina) eran factores de riesgo de presentar dolor con una EVA > 6 (dolor severo). Angles. Objectives: To translate and to validate the “Quick Users Guide” of Edmonton Classification System for Cancer Pain (ECS-CP) into Catalan and Spanish. Method: From the original translation and following a back-translation process and grammatical adaptation a version in both Catalan and Spanish languages was obtained. The readability study was carried out by using the Flesch-Szigriszt readability index and the Fernandez-Huertas Index. Results: For both versions the outcome was a bit difficult and according to a high school literacy level. The reliability analysis used the kappa coefficient with an score of 0,79 for the catalan version and 0,83 for the Spanish version, respectively. In a sample of 211 advanced cancer smokers patients the multivariate analysis showed that younger patients (age 6 points (severe nicotine addiction) were the most important risk factors to develop severe pain (VAS>6).
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".