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Record W4402132051 · doi:10.4274/dir.2024.232100

Quadratus lumborum block for procedural and postprocedural analgesia in renal cell carcinoma percutaneous cryoablation

2024· article· en· W4402132051 on OpenAlex
Saman Fouladirad, Jasper Yoo, Behrang Homayoon, Wang Jun, Pedro Lourenço

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDiagnostic and Interventional Radiology · 2024
Typearticle
Languageen
FieldMedicine
TopicRenal cell carcinoma treatment
Canadian institutionsUniversity of British ColumbiaSurrey Memorial HospitalUniversity of Saskatchewan
Fundersnot available
KeywordsMedicinePercutaneousCryoablationRenal cell carcinomaCryosurgeryUrologySurgeryRadiologyInternal medicine

Abstract

fetched live from OpenAlex

This study assesses the efficacy of the quadratus lumborum block (QLB) in the management of procedural and periprocedural pain associated with small renal mass cryoablation. To the best of our knowledge, this is the first study that examines the use of QLB for pain management during percutaneous cryoablation of renal cell carcinoma (RCC). A single-center retrospective review was conducted for patients who underwent cryoablation for RCC with QLB between October 2020 and October 2021. The primary study endpoint included a total dose of procedural conscious sedation and administered, postprocedural analgesia. Technical success in cryoablation was achieved in every case. No patients required additional analgesic during or after the procedure, and no complications resulted from the use of the QLB. The QLB procedure appears to be an effective locoregional block for the management of procedural and periprocedural pain associated with renal mass cryoablation.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score0.663

Codex and Gemma teacher scores by category

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

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 head0.013
GPT teacher head0.265
Teacher spread0.252 · 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