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Record W2101143367 · doi:10.5489/cuaj.1048

Review of the efficacy and safety of radiofrequency ablation for the treatment of small renal masses

2013· article· en· W2101143367 on OpenAlexaffvenue
Regina El Dib, Naji J. Touma, Anil Kapoor

Bibliographic record

VenueCanadian Urological Association Journal · 2013
Typearticle
Languageen
FieldMedicine
TopicRenal cell carcinoma treatment
Canadian institutionsMcMaster UniversitySt. Joseph’s Healthcare Hamilton
Fundersnot available
KeywordsCryoablationMedicineRadiofrequency ablationNephrectomyRadiologyClinical trialCochrane LibrarySurgeryAblationRandomized controlled trialRetrospective cohort studyKidneyInternal medicine

Abstract

fetched live from OpenAlex

Background: Small renal masses are increasingly being discoveredincidentally on imaging performed for another reason. Thestandard of care for these masses involves excision by open orlaparoscopic techniques. Recently, ablative techniques such asradiofrequency ablation (RFA) and cryoablation have taken a moreprominent role in the treatment algorithm for these masses. Wesought to evaluate the efficacy and safety of radiofrequency ablationin the treatment of renal tumours.Methods: We conducted a review of the literature. There was nolanguage restriction. We obtained studies from the followingsources: the Cochrane Library, PubMed, EMBASE, LILACS andCurrent Controlled Trials.Results: We identified no clinical trials in the literature. Thus wedescribed the results from case series and retrospective studieswith a reasonable sample size (number of reported patients in eachstudy > 65). Most patients undergoing RFA had T1a disease witha mean tumour size of about 3 cm. Radiofrequency ablation wasusually performed percutaneously with image guidance. Reportedfollow-up was short and ranged from 1 to 30 months. Most seriesused radiographic response as a surrogate for cancer control. Therates of local recurrence of the tumour were as high as 13.0%(average 8.5%) and were slightly higher than those associated withcryoablation and partial nephrectomy. Complications includedhemorrhage, ureteral strictures and loss of a renal unit.Conclusion: Our review demonstrates that RFA is a suitable andpromising therapy in patients with small renal tumours who areconsidered to be poor candidates for more involved surgery.However, clinical trials with long-term data are needed to establishthe oncological efficacy.Contexte : De petites masses rénales sont de plus en plus souventdécouvertes de façon fortuite lors d’épreuves d’imagerie commandéespour une autre raison. Les soins standard pour ces massesincluent une excision par chirurgie ouverte ou par laparoscopie.Dernièrement, des techniques comme l’ablation par radiofréquence(ARF) et la cryoablation ont pris plus d’importance dans l’algorithmede traitement. Nous examinons l’efficacité et l’innocuité del’ablation par radiofréquence dans le traitement des tumeurs rénales.Méthodologie : Une revue de la littérature a été effectuée, sansrestriction de langue. Des articles ont été obtenus des sources suivantes: la Bibliothèque Cochrane, PUBMED, EMBASE, LILACS etCurrent Controlled Trials.Résultats : Comme aucun essai clinique n’a pu être cerné dans cesbases de données, nous décrivons les résultats d’études de cas etd’analyses rétrospectives avec populations de taille raisonnable(nombre de patients pour chaque étude > 65). La vaste majoritédes patients ayant subi une ARF présentaient une tumeur T1a detaille moyenne d’environ 3 cm. L’ARF était habituellement effectuéepar voie percutanée et guidée par imagerie. Le suivi était court,allant de 1 à 30 mois. La plupart des études sérielles avaient recoursà la réponse radiographique comme paramètre de substitutionde la maîtrise du cancer. Les taux de récidive locale de la tumeuratteignaient 13.0 % (moyenne 8.5%), et étaient en général légèrementplus élevés que les taux notés avec la cryoablation et lanéphrectomie partielle. Les complications signalées étaient les suivantes: hémorragie, sténose urétérale et perte d’une unité rénale.Conclusion : Le présent article montre que l’ARF est une techniqueconvenable et prometteuse chez les patients porteurs depetites tumeurs rénales considérés comme de mauvais candidatspour une intervention plus lourde. Cependant, il est impératifd’effectuer des essais cliniques à long terme afin d’établir dans unavenir rapproché l’efficacité oncologique de cette technique.

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 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)0.001
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 score0.099
Threshold uncertainty score0.173

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.027
GPT teacher head0.242
Teacher spread0.215 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations23
Published2013
Admission routes2
Has abstractyes

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