Should we start population screening for prostate cancer? Randomised trials are still needed
Notice bibliographique
Résumé
A decrease in prostate cancer mortality has been reported in the United States, following a rapid increase in the early 1990s. 1 There has also been a report of a 42% reduction in prostate cancer mortality in Tyrol, Austria, where a large-scale prostate cancer screening programme was introduced in 1993, 2 and a report by Chirpaz et al. in this issue of a reduction in prostate cancer mortality in 5 areas of France. 3 In both the United States and France, the reductions in prostate cancer mortality followed large increases in prostate cancer incidence, almost certainly largely due to the impact of PSA screening from lead time and perhaps overdiagnosis.Is such evidence sufficient to warrant adoption of prostate cancer screening as part of routine health care?Decisions regarding prostate cancer screening require very firm evidence of its effects since the costs, both economic and in terms of quality of life, of adoption of screening in the general population would be substantial.Once started as a health care policy, it would be extremely difficult to discontinue.In order to recommend population screening for prostate cancer, convincing evidence is required for both effectiveness in terms of prostate cancer mortality reduction and beneficial net effect, i.e., demonstration that benefits exceed adverse effects such as complications of treatment and overdiagnosis.Currently, there is not sufficient evidence, as we argue below.The reports so far have been ecologic analyses based on aggregate data, which show a decrease in prostate cancer mortality following introduction of PSA testing in a population.In the United States and France, the comparisons were temporal, whilst those in Austria were geographic.We argue that PSA testing may not have caused the benefit.Individual-level data were not available, and only some men in the "screened" population were in fact screened.It remains unclear if the benefit was experienced by men with screen-detected cancers rather than all men with prostate cancer, such as might be caused by the increased interest in and better treatment of prostate cancer that may have accompanied the introduction of PSA testing.In all 3 countries, prostate cancer mortality declined within a few years of introduction of PSA screening.This means that any effect attributable to screening must be due to early deaths avoided.This is puzzling because the mean lead time for PSA screening (the time screening advances diagnosis in time) is at least 5 years, 4,5 while median survival of localised prostate cancer is more than 10 years compared to about 2.5 years for advanced prostate cancer.6 Therefore, no effect would be anticipated for at least 5 years from commencement of screening, apart from that due to earlier detection and treatment of advanced prostate cancers.An early effect could result from more effective treatment of screen-detected advanced cancers, but a substantial improvement is unlikely, as most treatment trials have found only modest survival benefits for early endocrine treatment of clinically detected advanced prostate cancer.[7][8][9] As ecologic comparisons cannot exclude deaths among cases diagnosed before screening commenced, the observed reduction could also be due to improved survival among these cases, resulting from more aggressive treatment.This is illustrated by the fact that a similar decrease in prostate cancer mortality has been observed in the United King-
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,052 | 0,116 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,012 | 0,012 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,003 |
| Communication savante | 0,006 | 0,009 |
| Science ouverte | 0,004 | 0,001 |
| Intégrité de la recherche | 0,014 | 0,012 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,039 | 0,006 |
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 source (Gemma direct ou Codex distillé), 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 ».