MétaCan
Menu
← Back to cohort
Record W123023646

Ambulatory laparoscopic renal cyst decortication.

2010· article· en· W123023646 on OpenAlexaff
Meng Guan, Sero Andonian

Bibliographic record

VenuePubMed · 2010
Typearticle
Languageen
FieldMedicine
TopicRenal cell carcinoma treatment
Canadian institutionsRoyal Victoria HospitalMcGill University Health CentreRoyal Victoria Regional Health Centre
Fundersnot available
KeywordsMedicineDecorticationAmbulatorySclerotherapySurgeryCystLaparoscopyPercutaneousAnesthesia
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION: Laparoscopic renal cyst decortication has become the standard of care for management of large symptomatic simple renal cysts. The aim of the present case report is to present such a case in an ambulatory setting. CASE REPORT: A 41-year-old woman presented with a 3 year history of a painful 9 cm x 7.3 cm right lower pole simple renal cyst. Laparoscopic renal cyst decortication was performed through three 5 mm trocars. The operating time was 145 minutes. There were no intraoperative or postoperative complications. The wounds were infiltrated with a total of 20 cc of 0.25% Marcaine. At the end of the procedure, she also received 1.3 g of acetaminophen rectally and 30 mg of ketorolac intravenously. The patient remained in the recovery room for a total of 3 hours. She was hemodynamically stable and was able to ambulate right away. She was discharged home directly from the recovery room and remained pain free on subsequent follow ups at 3 days and 1 month. COMMENTS: The present case report is a new trend in the laparoscopic management of renal cysts whereby patients can be treated in an ambulatory setting. This would make laparoscopic management even more advantageous when compared to percutaneous drainage and sclerotherapy. In an era of increasing health care costs, performing such cases in an ambulatory setting provides cost effective management in patients who are compliant.

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)0.000
metaresearch head score (Gemma)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.002

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 head0.020
GPT teacher head0.239
Teacher spread0.218 · 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
GenreEmpirical

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

Citations2
Published2010
Admission routes1
Has abstractyes

Explore more

Same venuePubMed→Same topicRenal cell carcinoma treatment→French-language works237,207→