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Record W2080862159 · doi:10.1136/bmj.329.7463.420-e

Study warns of danger of combining spironolactone and ACE inhibitors in heart patients

2004· article· en· W2080862159 on OpenAlexaboutno aff
Scott Gottlieb

Bibliographic record

VenueBMJ · 2004
Typearticle
Languageen
FieldMedicine
TopicPotassium and Related Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsSpironolactoneMedicineComputer scienceHeart failureData scienceInternal medicine

Abstract

fetched live from OpenAlex

The diuretic spironolactone can cause dangerous hyperkalaemia in patients who are also taking angiotensin converting enzyme (ACE) inhibitors, another drug that, like spironolactone, is used to treat congestive heart failure. After the publication of a major heart study that promoted the use of spironolactone, prescribing rose, but so did cases of hyperkalaemia, according to Dr David Juurlink, a clinical pharmacologist at the University of Toronto and author of a new study that found a threefold increase in the rates of admission to hospital for high potassium levels across Ontario and a twofold increase in deaths involving high potassium levels ( New England Journal of Medicine 2004;351:543-51). The randomised aldactone evaluation study (RALES), which was reported in 1999, found …

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)0.025
metaresearch head score (Gemma)0.085
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.130

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.085
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0090.002

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 head0.014
GPT teacher head0.291
Teacher spread0.277 · 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 designObservational
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

Citations2
Published2004
Admission routes1
Has abstractyes

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Same venueBMJSame topicPotassium and Related DisordersFrench-language works237,207