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Record W2325579641 · doi:10.1097/mou.0b013e3283542bc5

The emerging role of percutaneous biopsy in diagnosis and management of small renal masses

2012· review· en· W2325579641 on OpenAlexaff
Stanley A. Yap, O. Stakhovskyi, Antonio Finelli

Bibliographic record

VenueCurrent Opinion in Urology · 2012
Typereview
Languageen
FieldMedicine
TopicRenal cell carcinoma treatment
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsMedicinePercutaneousBiopsyPercutaneous biopsyIntensive care medicineRenal massRenal biopsyRadiologyGeneral surgeryKidneyInternal medicineNephrectomy

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Percutaneous biopsy has an emerging role in the diagnosis and management of small renal masses. The increasing importance of percutaneous biopsy is related to both a better understanding of the natural history of these tumors as well as new developments in treatment strategies. RECENT FINDINGS: We discuss the emerging role of biopsy in the current practice setting. Additionally, we review recent data regarding its diagnostic accuracy, important technical considerations, and possible complications. Finally, we speculate on its future role in managing these patients. SUMMARY: The role of percutaneous renal biopsy in the management of small renal masses continues to evolve. It is critically important at this juncture to evaluate the benefits and shortcomings of such an approach.

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)0.002
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.108
GPT teacher head0.367
Teacher spread0.259 · 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
GenreReview

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

Citations6
Published2012
Admission routes1
Has abstractyes

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