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Record W2403294796 · doi:10.14740/jmc.v7i6.2492

Renal Autotransplantation in a Patient With Resistant Renal Artery Stenosis

2016· article· en· W2403294796 on OpenAlexvenueno aff
Takuya Wakamiya, Yusuke Nakano, Tatsunori Hokosaki, Mari Iwamoto, Jyunichi Teranishi, Masako Otani

Bibliographic record

VenueJournal of Medical Cases · 2016
Typearticle
Languageen
FieldMedicine
TopicRenal and Vascular Pathologies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineFibromuscular dysplasiaRenovascular hypertensionRestenosisAutotransplantationRenal arteryRenal artery stenosisCardiologyAngioplastyStenosisInternal medicinePercutaneousRight Renal ArterySurgeryTransplantationKidneyStent

Abstract

fetched live from OpenAlex

We report the case of a 5-year-old boy who presented to our hospital with renovascular hypertension (RVH) resulting from right renal artery stenosis (RAS). We performed percutaneous transluminal renal angioplasty (PTRA) on the right RAS. Although hypertension improved after PTRA, restenosis occurred and aggravated hypertension was observed 2 - 3 months later. PTRA was performed again and repeated three times because of restenoses. We subsequently transected the renal arteries and performed renal autotransplantation. The postoperative course was uneventful and hypertension improved. Pathology results showed intimal fibroplasias. More than 1 year and 3 months after transplant, restenosis of the renal artery had not occurred. Successful renal autotransplantation after the frequent PTRA has not been previously reported, and intimal fibromuscular dysplasia (FMD) is rare. Restenosis frequently occurs after PTRA in patients with renovascular hypertension, and renal autotransplantation is an effective treatment in children. J Med Cases. 2016;7(6):226-229 doi: http://dx.doi.org/10.14740/jmc2492w

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.522
Threshold uncertainty score0.207

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.025
GPT teacher head0.275
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.

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

Citations0
Published2016
Admission routes1
Has abstractyes

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