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Record W2140899580 · doi:10.5489/cuaj.909

Residual renal function after partial or radical nephrectomy for renal cell carcinoma

2013· article· en· W2140899580 on OpenAlexafffundvenue
David Chapman, Ronald B. Moore, Scott Klarenbach, Branko Braam

Bibliographic record

VenueCanadian Urological Association Journal · 2013
Typearticle
Languageen
FieldMedicine
TopicRenal cell carcinoma treatment
Canadian institutionsUniversity of Alberta
FundersAlberta Heritage Foundation for Medical ResearchFondation pour la Recherche MédicaleUniversity of AlbertaHeart and Stroke Foundation of Canada
KeywordsNephrectomyMedicineRenal cell carcinomaNephrologyRenal functionUrologyKidney diseaseInternal medicineSurgeryKidney

Abstract

fetched live from OpenAlex

Renal cell carcinoma (RCC) is often detected incidentally andearly. Currently, open partial nephrectomy and laparoscopic totalnephrectomy form competing technologies. The former is invasive,but nephron-sparing; the other is considered less invasive but withmore loss of renal mass. Traditionally, emphasis has been placedon oncologic outcomes. However, a patient with an excellentoncologic outcome may suffer from morbidity and mortality relatedto renal failure. Animal models with hypertension and diabeticrenal disease indicate accelerated progression of pre-existing diseaseafter nephrectomy. Patients with RCC are older and they havea high prevalence of diabetes and hypertension. The progressionof renal failure may also be accelerated after a nephrectomy. Ouranalysis of the available literature indicates that renal outcomes inRCC patients after surgery are relatively poorly defined. A strategyto systematically evaluate the renal function of patients with RCC,with joint discussion between the nephrologist and the oncologicteam, is strongly advocated.L’hypernéphrome est souvent décelé fortuitement et au stade précoce.Actuellement, la néphrectomie partielle par voie ouverteet la néphrectomie totale par laparoscopie sont des technologiesconcurrentes. Tandis que la première est plus invasive, mais permetl’épargne des néphrons, la seconde est moins invasive maisentraîne une perte plus importante de masse rénale. Par le passé,on a mis l’emphase sur les résultats d’un point de vue oncologique.Cependant, un patient pour qui la chirurgie donne d’excellents résultatsen matière d’élimination de la tumeur pourrait présenter unemorbidité et une mortalité en lien avec une insuffisance rénale. Desmodèles animaux de néphropathie avec hypertension et diabèteindiquent une évolution accélérée des maladies préexistantes aprèsla néphrectomie. Les patients présentant un hypernéphrome sontplus âgés; la prévalence du diabète et de l’hypertension est élevée.L’évolution de l’insuffisance rénale peut aussi être accélérée aprèsla néphrectomie. Notre analyse des articles publiés montre que lesrésultats sur le plan de la fonction rénale après une chirurgie pourtraiter un hypernéphrome sont relativement mal définis. Une stratégiefondée sur une évaluation systématique de la fonction rénale despatients atteints d’hypernéphrome, avec discussion entre le néphrologueet l’équipe de soins oncologiques, est fortement encouragée.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.017
GPT teacher head0.218
Teacher spread0.201 · 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.

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".

Quick stats

Citations60
Published2013
Admission routes3
Has abstractyes

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