The confusion surrounding prostate cancer screening faced by family physicians
Notice bibliographique
Résumé
Primary care physicians, in the forefront of prostate cancer screening, are challenged with confusing and often conflicting guidelines. The lack of uniformity on the optimal prostate cancer screening recommendations stems from conflicting interpretations of the results of recent screening studies. Unfortunately, two large trials, initially planned to define the usefulness of screening, were both significantly flawed and provided conflicting results and further fueled the debate.1,2 Not surprisingly, these results have led to a lack of consensus on the best screening practices among various medical associations and guideline committees. The limitations of prostate-specific antigen (PSA) itself as a screening tool have precluded standardized and widely adopted guidelines from being developed to date.3 Several guidelines have been established; the American Urological Association and Canadian Urological Association favour the inclusion of PSA testing as a tool for prostate cancer screening,4,5 while the Canadian Task Force on Preventative Health Care and the U.S Preventative Services Task Force (USPSTF) recommend against screening.6,7 These are in addition to provincial and advocacy organizations’ recommendations – it is no wonder physicians and patients are confused. Controversy surrounding optimal prostate cancer screening for primary care physicians was renewed with the recent publication of the USPSTF statement, which attracted considerable media attention. Their recommendations were against PSA-based screening for prostate cancer in all men. PSA screening was labelled a “Grade D” recommendation, which states that there is moderate or high certainty that PSA screening has no benefit, or that the harms outweigh any benefits.7 It is important to stress the results of the European Randomized Study of Screening for Prostate Cancer, considered the best PSA screening study to date. It was demonstrated that screening reduced the rate of prostate cancer death by 20%, with additional two-year follow-up consolidating these findings.2,8 Being the largest trial to date and suffering fewer methodological limitations than its U.S. counterpart, this European study represents “level one” evidence that screening does reduce prostate cancer-specific mortality. It was proposed that the modest benefit conveyed should support a “grade C” recommendation; this leaves the decision regarding PSA screening to the patient and primary care physician.9 The results of the survey in this issue of CUAJ provide evidence to suggest that Ontario family physicians use their own management strategies in deciding whether to offer prostate cancer screening to their patients.10 As well, there is apparent heterogeneity in the use of screening, as well as in the attitudes concerning its value. Interestingly, although almost 80% screen for prostate cancer, a considerably lower percentage of family physicians believe that the benefits of screening outweigh its risks, which suggests that other patient factors prompt the decision to screen. Obviously, a primary weakness of the paper is the poor response rate. The results do, however, provide a glimpse into the practice patterns of physicians directly involved in screening. It is likely that the results can be extrapolated to the rest of the country, as these findings have been corroborated by other papers addressing the same question in Newfoundland and British Columbia.11,12 Most importantly, the survey shows the need not only to provide clear and evidence-based guidelines, but also for better education on prostate cancer screening for family physicians. A significant onus of responsibility for this lies with our own association and members. It highlights the importance of relaying our own CUA guidelines to family physicians, and educating them regarding the evidence and considerations surrounding prostate cancer screening.
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 | 0,044 | 0,162 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,014 | 0,015 |
| Communication savante | 0,007 | 0,011 |
| Science ouverte | 0,003 | 0,008 |
| Intégrité de la recherche | 0,019 | 0,025 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,002 |
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 ».