Taking a more critical look at the use of costly and invasive testing
Notice bibliographique
Résumé
eaders of the CUAJ will be cognizant of the real forward progress of the Choosing Wisely recommendations, not only within our own practices but more broadly in our hospitals and communities.Choosing Wisely Canada was officially launched in April 2014, and since that time, well over 300 statements have been presented across a broad range of clinical specialties.These temperate recommendations (and the mission of Choosing Wisely in general) is to promote the increasingly important conversations between clinicians and our patients in order to help choose care that is: truly necessary, free from harm, not duplicative, and supported by evidence.Beyond the recommendations themselves, many clinician and patient resources have been created offering plain-language information in order to foster conversations that can lead to smart and, hopefully, cost-effective care.The springboard for this process included asking members of national specialty organizations to identify tests or procedures commonly used in their field whose necessity should be questioned and discussed during the decision-making process.Given growing evidence (and ubiquitous anecdotal experience) of overuse of medical imaging, it's not surprising that much of the initial Choosing Wisely campaign's recommendations involved radiological considerations. 1 Indeed, two of the five Canadian Urological Association (CUA) recommendations temper the use of imaging in low-risk prostate cancer and boys with cryptorchidism.Of the 15 things recommended by the American Urological Association (AUA) that physicians and patients should question, five of them focus on decreasing the use of imaging in urological diseases.With this as background, it is worth highlighting a recent article in JAMA Internal Medicine 2 that addresses some of these concepts around the workup of hematuria.The authors report on a patient-level microsimulation of different guideline algorithms (including those from the CUA 3 ) for the evaluation of both gross and microscopic hematuria, highlighting the imaging recommendations in order to approximate the relative benefits of cancer detection compared to possible harms and costs.The results are provocative but potentially unsurprising to Canadian urologists.The authors describe that guidelines, like those from the AUA, that include computed tomography (CT) scanning for all patients with hematuria were associated with some improvement in cancer detection rates but resulted in higher estimated rates of secondary cancers from radiation (more than 10 times higher than the additional number of cancers detected).Furthermore, the cost savings were significant when guidelines suggested using CT only in a risk-stratified approach, relying on ultrasound for patients at low risk, such as those with microhematuria, non-smokers, and of young age.Although most of us are likely more focused on the margins with respect to missing a significant cancer diagnosis compared to the abstruse risks of secondary cancers or cost containment, this study is an excellent example of how guideline development can be enhanced with a keen eye on the evaluation of advantages, harms, and costs.Given the widespread use of urinalysis in general practice and the high prevalence of microscopic hematuria, it is not surprising that many of the Choosing Wisely statements for urology revolve around this topic: to dissuade workup based on chemical urinalysis alone and to avoid use of cytology.On this theme, an interesting article in this issue of CUAJ describes a similar exercise around system-level changes that could potentially facilitate impressive cost savings while optimizing published guideline recommendations.Assmus et al 4 retrospectively reviewed referrals for hematuria in Alberta, and although guideline concordant care was high, they identified an issue with microscopy reporting that likely led to overinvestigation.In their region, referrals were frequently based on reports indicating 1-5 red blood cells (RBC) per high-power field present and their subsequent findings suggested that only 41% of these had CUA guideline-defined microscopic hematuria.By
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 | 0,016 | 0,120 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,001 |
| Méta-épidémiologie (sens large) | 0,004 | 0,003 |
| Bibliométrie | 0,005 | 0,002 |
| Études des sciences et des technologies | 0,005 | 0,004 |
| Communication savante | 0,011 | 0,007 |
| Science ouverte | 0,004 | 0,002 |
| Intégrité de la recherche | 0,025 | 0,033 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,016 | 0,008 |
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 ».