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Record W4234691632 · doi:10.14740/jmc1928w

Minoxidil Associated Pericardial Effusion: A Case Report

2015· article· en· W4234691632 on OpenAlexvenueno aff
Steven Deutsch, Michael Berlowitz

Bibliographic record

VenueJournal of Medical Cases · 2015
Typearticle
Languageen
FieldMedicine
TopicPericarditis and Cardiac Tamponade
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePericardial effusionPericardial windowMinoxidilCardiac tamponadeCardiologyInternal medicinePericarditisAdverse effectHeart failureSurgery

Abstract

fetched live from OpenAlex

Minoxidil is an antihypertensive that works by directly dilating peripheral vessels. The agent produces vasodilation via a cyclic AMP-mediated effect on arteriolar smooth muscle, with little effect on veins. There have been associations with its use and cause and/or exacerbation of pericardial effusions. This reported adverse effect resulted in a black box warning in the US, which states that minoxidil may cause pericarditis and pericardial effusion that may progress to tamponade. Specifically, patients with renal impairment not on dialysis and individuals with congestive heart failure are reported at higher risk. Here we report a case of a patient with underlying renal disease who presented to the hospital with hypertensive urgency. He developed a pericardial effusion soon after restarting minoxidil, which did not resolve until this medication was discontinued, despite undergoing a pericardial window. J Med Cases. 2015;6(2):65-67 doi: http://dx.doi.org/10.14740/jmc1928w

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)0.003
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 score0.008
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.003
Science and technology studies0.0040.002
Scholarly communication0.0030.004
Open science0.0020.003
Research integrity0.0080.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.047
GPT teacher head0.340
Teacher spread0.292 · 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

Citations4
Published2015
Admission routes1
Has abstractyes

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