MétaCan
Menu
Back to cohort
Record W3011063776 · doi:10.1111/jch.13843

Renovascular hypertension from the BCR‐ABL tyrosine kinase inhibitor ponatinib

2020· article· en· W3011063776 on OpenAlexaff
Syed Obaid Amin, Marcel Ruzicka, Kevin D. Burns, Isabelle Bence‐Bruckler, Stephen E. Ryan, Adnan Hadziomerovic, Swapnil Hiremath

Bibliographic record

VenueJournal of Clinical Hypertension · 2020
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsMedicinePonatinibRenovascular hypertensionTyrosine-kinase inhibitorTyrosine kinaseImatinibInternal medicinePharmacologyDasatinibBlood pressureReceptorMyeloid leukemia

Abstract

fetched live from OpenAlex

Drug-induced hypertension is one of the commonest causes of secondary hypertension. In the last few years, secondary hypertension due to tyrosine kinase inhibitors, from the vascular endothelial growth factor class, has been recognized to be an important cause of hypertension, as well as proteinuria, and occasionally kidney dysfunction in some cases. Less well-recognized is that BCR-ABL tyrosine kinase inhibitors also have adverse vascular effects. These manifest as vascular stenoses in large vessels, which may sometimes cause renal artery stenosis and subsequent hypertension. We describe a case report which presented as classical bilateral renal artery stenosis, and responded to revascularization. Increased awareness of these effects, as well as research into the pathogenesis, may provide more insight into vascular biology.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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 integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.114
GPT teacher head0.340
Teacher spread0.226 · 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 source (direct Gemma or distilled Codex), 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

Citations6
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Clinical HypertensionSame topicChronic Myeloid Leukemia TreatmentsFrench-language works237,207