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Record W2752376803 · doi:10.22374/1710-6222.24.3.4

The Role of Midodrine for Hypotension Outside of the Intensive Care Unit

2017· review· en· W2752376803 on OpenAlexaffvenue
L. Gutman, Ben Wilson

Bibliographic record

VenueJournal of Population Therapeutics and Clinical Pharmacology · 2017
Typereview
Languageen
FieldMedicine
TopicCardiovascular Syncope and Autonomic Disorders
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMidodrineMedicineFludrocortisoneIntensive care unitSeptic shockDiuresisAnesthesiaOrthostatic vital signsSepsisPopulationIntensive care medicineBlood pressureInternal medicineRenal function

Abstract

fetched live from OpenAlex

Midodrine is an oral, peripherally acting alpha-adrenergic agonist. After gaining Food and Drug Administration (FDA) approval in 1996 for orthostatic hypotension, its use has evolved to target vasoplegic conditions such as intradialytic hypotension in the end-stage renal disease population, refractory ascites in cirrhotic patients to support diuresis, and in hepatorenal syndrome. Upon oral ingestion, the drug undergoes enzymatic hydrolysis to an active metabolite, desglymidodrine. Its use has been well tolerated at 2.5 mg, 5 mg, and 10 mg oral doses. The most frequently occurring side effects relate directly to its sympathomimetic profile and include piloerection, scalp pruritis, generalized paresthesias, and urinary retention. The vasoplegic profile of sepsis would be a potential target for midodrine therapy. While its use to mediate recovery from septic shock has been suggested, there is a paucity of clinical data supporting its use. Such therapy may be uniquely appropriate in septic patients who are not candidates for intensive care unit (ICU) level of care.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.996
Threshold uncertainty score0.287

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.002
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 head0.177
GPT teacher head0.496
Teacher spread0.319 · 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 designOther design
Domainnot available
GenreReview

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

Citations16
Published2017
Admission routes2
Has abstractyes

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