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Record W4399257344 · doi:10.18502/jthc.v19i1.15529

Vasovagal Syncope: A Review of Current and Emerging Therapies for a Common Cardiology Condition

2024· review· en· W4399257344 on OpenAlexaff
Masih Tajdini, Amir Hossein Behnoush, Amirmohammad Khalaji, Satish R. Raj

Bibliographic record

VenueThe Journal of Tehran University Heart Center · 2024
Typereview
Languageen
FieldMedicine
TopicCardiovascular Syncope and Autonomic Disorders
Canadian institutionsLibin Cardiovascular Institute of AlbertaUniversity of Calgary
Fundersnot available
KeywordsMedicineVasovagal syncopeMidodrineIntensive care medicineQuality of life (healthcare)Syncope (phonology)CardiologyInternal medicineBlood pressure

Abstract

fetched live from OpenAlex

Vasovagal syncope (VVS), characterized by transient loss of consciousness, is among the most prevalent reasons for emergency visits worldwide. Although benign in nature, VVS can be accompanied by traumatic injury, leading to morbidity and decreased quality of life, especially in those with VVS recurrence. The management includes non-pharmacologic and pharmacologic therapies (if resistant), patient education and reassurance, salt and fluid intake increase, and physical counter-pressure maneuvers. Among medications, midodrine has shown promising results in reducing VVS recurrence and positive head-up tilt tests. Fluoxetine and atomoxetine also might be suitable candidates for VVS therapy. Permanent pacemakers, such as closed-loop stimulation, are under research and can be effective in cases unresponsive to medical treatment. In summary, while data are scarce regarding the definite treatment of VVS, there is a need for further research with novel, easy-to-use and cost-effective therapeutic methods to enhance quality of life and prevent traumatic injury.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.835
Threshold uncertainty score0.440

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 head0.035
GPT teacher head0.344
Teacher spread0.309 · 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 designNot applicable
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

Citations3
Published2024
Admission routes1
Has abstractyes

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