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Record W2036319537 · doi:10.14740/jmc.v5i3.1665

A Case Report on the Effect of Everolimus in Renal Angiomyolipoma Associated With Tuberous Sclerosis Complex

2014· article· en· W2036319537 on OpenAlexvenueno aff
Huma M Paika, Yull Arriaga, Anthony T. Setiawan

Bibliographic record

VenueJournal of Medical Cases · 2014
Typearticle
Languageen
FieldMedicine
TopicTuberous Sclerosis Complex Research
Canadian institutionsnot available
Fundersnot available
KeywordsTuberous sclerosisMedicineEverolimusRenal cell carcinomaAngiomyolipomaDiscovery and development of mTOR inhibitorsInternal medicineKidneyUrologyGastroenterologyPathologyPI3K/AKT/mTOR pathway

Abstract

fetched live from OpenAlex

Tuberous Sclerosis (TS) is a well known disorder which manifests with benign tumors in various organ systems, including angiomyolipomas (AML) of the kidneys. The mTOR inhibitors have emerged as a potential systemic treatment strategy to halt the growth of renal angiomyolipomas and to prevent life threatening complications such as bleeding. This report shows that everolimus treatment may have an impact on size and density of renal AML lesions which may lead to prevention or delay the development of renal cell carcinoma as well as prevent bleeding from the renal AML lesions. A 20-year-old Hispanic female and a 24-year-old Asian female both with sporadic TS were administered daily oral everolimus therapy. Both showed stability in their renal AML lesions and notable improvement of their extra-renal TS manifestations. Treatment with daily everolimus may lead to reduction in size and/or decreases in density or renal AML lesions. This may have an impact on the risk of developing renal cell carcinoma as well as preventing bleeding from renal AML lesions. J Med Cases. 2014;5(3):129-136 doi: http://dx.doi.org/10.14740/jmc1665w

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)0.007
metaresearch head score (Gemma)0.020
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.119
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.080
GPT teacher head0.329
Teacher spread0.249 · 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 designCase report
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

Citations1
Published2014
Admission routes1
Has abstractyes

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