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Record W2165275926

[Is the head-up tilt-test necessary in patients whit clinical diagnosis of vasovagal syncope? Results using a non-sensitized protocol].

2015· article· en· W2165275926 on OpenAlexaffabout
Mauricio Arce, Francisco Femenía, Jorge Palazzolo, Emilce Trucco, William Uribe, Adrián Baranchuk

Bibliographic record

VenuePubMed · 2015
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Syncope and Autonomic Disorders
Canadian institutionsKingston General Hospital
Fundersnot available
KeywordsVasovagal syncopePresyncopeMedicineSyncope (phonology)Tilt table testTilt (camera)Test (biology)Pre- and post-test probabilityInternal medicineHeart rateBlood pressureMathematics
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION: Tilt table testing is a simple, non-invasive, low risk test. A not sensitized protocol has been presented in order to shorten the duration of the test. OBJECTIVE: To determine the usefulness of a not sensitized tilt table testing and to compare the results with the pre-test probability, given by the Calgary's score. METHODS: We included patients≥15 years-old with syncope or presyncope with high probability pretest for a vasovagal origin, using the Calgary' score. RESULTS: Seventy patients were analyzed; age 39±20 years old, 66% female. More than 94% of the patients presented a score≥-1, but only 30% of the tilt tests were positive. A score≥-2 was not associated with the result of tilt test. Most of the patients presented a score of 1 (52) and 2 (11), resulting in positive tilt test 32% y 9%, respectively. Among patients with low pre-test probability there was a greater number of negative results (100% with a score of -2 and 50% with score of -5). CONCLUSIONS: This study showed that in patients with vasovagal syncope suggested by clinical assessment, a not sensitized tilt test did not provide additional information, with a significant number of false negatives.

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)0.002
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 score0.111
Threshold uncertainty score0.596

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.084
GPT teacher head0.335
Teacher spread0.251 · 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 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

Citations1
Published2015
Admission routes2
Has abstractyes

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