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Record W2984925915 · doi:10.5489/cuaj.6334

Taking a more critical look at the use of costly and invasive testing

2019· editorial· en· W2984925915 on OpenAlexaffvenueabout
D. Robert Siemens

Bibliographic record

VenueCanadian Urological Association Journal · 2019
Typeeditorial
Languageen
FieldMedicine
TopicRadiation Dose and Imaging
Canadian institutionsQueen's University
Fundersnot available
KeywordsComputer scienceIntensive care medicineMedicine

Abstract

fetched live from OpenAlex

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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.120
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.025
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.120
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0050.002
Science and technology studies0.0050.004
Scholarly communication0.0110.007
Open science0.0040.002
Research integrity0.0250.033
Insufficient payload (model declined to judge)0.0160.008

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.041
GPT teacher head0.283
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2019
Admission routes3
Has abstractyes

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