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Record W2144114024

Case report: unexplained syncope explained.

2001· article· fr· W2144114024 on OpenAlexaff
Roland Grad, Bernard L. Segal

Bibliographic record

VenuePubMed · 2001
Typearticle
Languagefr
FieldMedicine
TopicCardiovascular Syncope and Autonomic Disorders
Canadian institutionsJewish General Hospital
Fundersnot available
KeywordsMedicineEmergency departmentSinus rhythmHeart failureNocturiaSalbutamolPediatricsAnesthesiaInhalerCardiologyInternal medicineAsthmaAtrial fibrillation
DOInot available

Abstract

fetched live from OpenAlex

An elderly patient with multiple chronic diseases and nonspecific symptoms might present a diagnostic challenge, in part because of the risk of drug-drug and drugdisease interactions. We report a case of unexplained syncope of unexpected origin. Case report A 93-year-old woman living alone in the community was found unconscious in the bathtub. She was admitted to hospital by a cardiologist and discharged after an uneventful 24-hour stay. Two days later, she was found lying on her bedroom floor. She was taken back to the emergency department, where she was alert and able to get in and out of bed, get on and off the toilet, and walk with minimal assistance. Her heart rate varied from 48 to 60 beats a minute and cardiac rhythm was irregular. There were no focal neurologic signs. Electrocardiographic examination revealed sinus rhythm with atrial premature beats and left ventricular hypertrophy. She was re-admitted to hospital by her family physician. Her history showed three syncopal events over a 2-year period since starting donepezil for Alzheimer’stype dementia. She had heart failure from diastolic dysfunction, mild obstructive pulmonary disease, and essential hypertension. Medications included clonidine, 0.05 mg bid; furosemide, 20 mg daily; various vitamins; and salbutamol, ipratropium, and fluticasone via metered dose inhaler. Because clinical trials have reported a doubling of the risk of syncope in treated subjects, 1 donepezil was

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.541
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.024
GPT teacher head0.232
Teacher spread0.208 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2001
Admission routes1
Has abstractyes

Explore more

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