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Enregistrement W2796135485 · doi:10.1111/bju.14184

Prostate cancer prevention: proof is elusive

2018· letter· en· W2796135485 sur OpenAlexaff
Laurence Klotz

Notice bibliographique

RevueBritish Journal of Urology · 2018
Typeletter
Langueen
DomaineMedicine
ThématiqueProstate Cancer Diagnosis and Treatment
Établissements canadiensHealth Sciences CentreSunnybrook Health Science Centre
Organismes subventionnairesnon disponible
Mots-clésMedicineProstate cancerDiseaseCancerProstateIncidence (geometry)Vitamin D and neurologyEpidemiologyMicronutrientCancer preventionInternal medicineGynecologyOncologyPathology

Résumé

récupéré en direct d'OpenAlex

Prevention is so much better than cure because it saves the labour of being sick. Thomas Adams, 1618 Inferior doctors treat the full-blown disease; mediocre doctors treat the disease before evident; superior doctors prevent disease. Nai Ching, 1st Chinese Medical Text, 2600 BC. Enthusiasm for prevention is hundreds, even thousands of years old. In the field of prostate cancer, profound differences in the regional variation of prostate cancer around the world (highest in North Americans and Scandinavians, lowest in Asians), despite the similar incidence of histological occult prostate cancer and shifts in the incidence in mortality amongst immigrant populations moving from low to high prostate cancer regions, led to a firm belief that clinical disease was preventable. This belief was supported by the known long initiation phase for prostate cancer, providing an opportunity over decades for diet and micronutrient intake to influence the likelihood of disease progression. In addition, many epidemiological studies have pointed to the benefits of fruit and vegetable intake high in vitamin E, selenium, beta carotene, lycopene and other micronutrients, and a diet low in animal fat. Recently, however, several pivotal studies have taken the bloom off the rose of prevention. In particular, the SELECT study reported a 17% increased rate of prostate cancer in men on vitamin E, and an increase in diabetes mellitus in men on selenium 1. The study was resoundingly negative. In addition, both high intake of multivitamins, and high dairy and calcium intake, have been associated with an increased risk of fatal prostate cancer 2. Folic acid intake results in an increased incidence of prostate cancer. Despite the positive results of the Prostate Cancer Prevention Trial (PCPT) and Reduce trials, the 5α-reductase inhibitors were not approved for prevention by the US Food and Drug Administration because of concerns about an increased risk of high grade prostate cancer, despite the reduction in positive biopsies in men on the drug (mostly attributable to a decrease in low grade cancer). Further, studies of the association between dietary intake of fruit and vegetables and prostate cancer are inconsistent. For example, one large study in 130 544 men found no significant association between fruit and vegetable intake, including cruciferous vegetables, and prostate cancer 3. Another study showed dietary modification, reducing fat and increasing fruits, vegetables and fibre, had no impact on PSA concentration 4. Yet, despite the negative intervention studies, a lingering spark of hope exists that the many positive population, epidemiological and pre-clinical studies supporting dietary approaches to prevention will be vindicated. The MEAL study in the current issue of BJU Int is, therefore, a laudable and ambitious initiative 5. Remarkably, 478 men have been randomized to validated dietary counselling intervention vs no intervention. The authors report the initial demographics and eligibility data in the present paper. It is undoubtedly the first of many publications that will arise from this important trial. Will this study achieve its ambitious goal, which was to demonstrate that prostate cancer progression can be influenced by dietary modification? While the initiative is laudable, I suspect the hurdles are insurmountable given the sample size and conceptual basis for the study. The study is being performed in men on active surveillance, and the primary endpoint will be the risk of disease ‘progression’. The study references the Redeem study, which showed a 44% reduction in ‘disease progression’ with dutasteride compared with placebo 6. What we have learned since the Redeem study was initiated more than a decade ago was that the major limitation of conservative management in men diagnosed with low grade prostate cancer on systematic biopsy is not disease progression as it is usually defined (i.e. developing worse disease over time); it is grade misattribution, based on sampling and missing co-existent higher grade cancer in pathological analysis 7. Higher grade cancer is present in ~30% of men with Gleason 6 cancer on systematic biopsy. Finding this on subsequent systematic biopsy is largely a matter of luck, location of the cancer, and biopsy strategy and number. In contrast, true grade progression (from Gleason pattern 3 to pattern 4 or 5) is uncommon, estimated to occur in only 1–2% of patients per year 8. The adoption of MRI and targeted biopsy into the surveillance algorithm has reduced the misattribution problem. Thus, the true ‘event rate’ (exclusive of misattribution) is likely to be in the 15% range at 10 years. A study with the power to detect a 20% relative difference in these events, i.e. a 3% absolute difference, would require >1 000 patients, followed for 10 years. In the Redeem study, the reduction in ‘progression’ was entirely related to a decrease in the volume of low grade cancer. Indeed, the rate of upgrading was 13% in both arms in Redeem; therefore, the decrease in progression in that study probably reflected the cytoreduction effect of 5α-reductase inhibitors, and not a real biological effect on cancer progression. To be meaningful, prevention studies in men on surveillance should therefore identify, at the very least, a real reduction in grade progression, based on state-of-the-art evaluation at baseline with MRI and targeted biopsies as warranted, and long-term follow-up. A decrease in the rate of volume progression of Gleason 6, a major endpoint of the present study, is not meaningful. In the study as described, which does not explicitly incorporate MRI, an imbalance in the number of patients having off-protocol MRI and targeted biopsies between the two arms could significantly bias the outcome. A further problem with long-term studies of dietary intervention relates to the well-known methodological limitations in this area, namely, ensuring long-term compliance, recall bias of food intake and contamination of the control arm. Nonetheless, the authors deserve strong congratulations for pursuing this major initiative. We will follow the course of this study with interest. None declared.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,021
score de la tête « metaresearch » (Gemma)0,042
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,031
Score d'incertitude au seuil0,109

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0210,042
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0040,002
Bibliométrie0,0020,001
Études des sciences et des technologies0,0030,012
Communication savante0,0060,013
Science ouverte0,0040,005
Intégrité de la recherche0,0130,031
Charge utile insuffisante (le modèle a refusé de juger)0,0310,018

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.

Tête enseignante Opus0,016
Tête enseignante GPT0,292
Écart entre enseignants0,276 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2018
Routes d'admission1
Résumé présentoui

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