Evaluation of the accuracy of the PLCO<sub>m2012</sub>6-year lung cancer risk prediction model among smokers in the CARTaGENE population-based cohort
Notice bibliographique
Résumé
<h3>Background:</h3> The PLCO<sub>m2012</sub> prediction tool for risk of lung cancer has been proposed for a pilot program for lung cancer screening in Quebec, but has not been validated in this population. We sought to validate PLCO<sub>m2012</sub> in a cohort of Quebec residents, and to determine the hypothetical performance of different screening strategies. <h3>Methods:</h3> We included smokers without a history of lung cancer from the population-based CARTaGENE cohort. To assess PLCO<sub>m2012</sub> calibration and discrimination, we determined the ratio of expected to observed number of cases, as well as the sensitivity, specificity and positive predictive values of different risk thresholds. To assess the performance of screening strategies if applied between Jan. 1, 1998, and Dec. 31, 2015, we tested different thresholds of the PLCO<sub>m2012</sub> detection of lung cancer over 6 years (1.51%, 1.70% and 2.00%), the criteria of Quebec’s pilot program (for people aged 55–74 yr and 50–74 yr) and recommendations from 2021 United States and 2016 Canada guidelines. We assessed shift and serial scenarios of screening, whereby eligibility was assessed annually or every 6 years, respectively. <h3>Results:</h3> Among 11 652 participants, 176 (1.51%) lung cancers were diagnosed in 6 years. The PLCO<sub>m2012</sub> tool underestimated the number of cases (expected-to-observed ratio 0.68, 95% confidence interval [CI] 0.59–0.79), but the discrimination was good (C-statistic 0.727, 95% CI 0.679–0.770). From a threshold of 1.51% to 2.00%, sensitivities ranged from 52.3% (95% CI 44.6%–59.8%) to 44.9% (95% CI 37.4%–52.6%), specificities ranged from 81.6% (95% CI 80.8%–82.3%) to 87.7% (95% CI 87.0%–88.3%) and positive predictive values ranged from 4.2% (95% CI 3.4%–5.1%) to 5.3% (95% CI 4.2%–6.5%). Overall, 8938 participants had sufficient data to test performance of screening strategies. If eligibility was estimated annually, Quebec pilot criteria would have detected fewer cancers than PLCO<sub>m2012</sub> at a 2.00% threshold (48.3% v. 50.2%) for a similar number of scans per detected cancer. If eligibility was estimated every 6 years, up to 26 fewer lung cancers would have been detected; however, this scenario led to higher positive predictive values (highest for PLCO<sub>m2012</sub> with a 2.00% threshold at 6.0%, 95% CI 4.8%–7.3%). <h3>Interpretation:</h3> In a cohort of Quebec smokers, the PLCO<sub>m2012</sub> risk prediction tool had good discrimination in detecting lung cancer, but it may be helpful to adjust the intercept to improve calibration. The implementation of risk prediction models in some of the provinces of Canada should be done with caution.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».