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Record W2142777124 · doi:10.1177/1054773806295240

Medication Use and Symptoms in Individuals With Mitral Valve Prolapse Syndrome

2007· article· en· W2142777124 on OpenAlex
Kristine Anne Scordo

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueClinical Nursing Research · 2007
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsnot available
FundersNational Institute of Nursing Research
KeywordsMitral valve prolapseMedicineInternal medicineCardiologyMitral valvePhysical therapy

Abstract

fetched live from OpenAlex

Mitral valve prolapse (MVP) is a common valvular heart disease associated with a variety of frightening symptoms. Beta-adrenergic blockers along with calcium channel blockers and anxiolytics are widely used to treat symptoms associated with MVPS despite a lack of evidence that supports their efficacy. This study examined the relationship between prescribed medication use and frequency and intensity of MVPS symptoms. A descriptive cross-sectional survey design was used. Descriptive statistics and Cramér's V correlational analysis were used to answer the research questions. Self-completed questionnaires were mailed to 2,282 MVPS individuals older than 21 years of age throughout the United States and Canada previously diagnosed with MVPS. Of the 837 participants, 337 (40%) were taking one or more medications. Although there were significant positive correlations between anxiety and calcium channel blockers, chest pain and digoxin, and mood swings and digoxin, the correlations were very weak.

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.

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)0.003
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.328

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.092
GPT teacher head0.518
Teacher spread0.426 · 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