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Record W3004344135

Pediatric syncope diagnosis and management: Validation of continuous blood pressure monitoring and alternatives to 24-hour urine sodium sampling

2019· dissertation· en· W3004344135 on OpenAlexfundno aff
Natalie D. Heeney

Bibliographic record

VenueSummit (Simon Fraser University) · 2019
Typedissertation
Languageen
FieldMedicine
TopicCardiovascular Syncope and Autonomic Disorders
Canadian institutionsnot available
FundersSimon Fraser UniversityBC Children's Hospital
KeywordsMedicineBlood pressureUrineSyncope (phonology)Blood samplingSampling (signal processing)SodiumIntensive care medicineAnesthesiaInternal medicineComputer scienceChemistry
DOInot available

Abstract

fetched live from OpenAlex

Syncope, or fainting, is common and has a devastating impact on quality of life. Diagnosis and management of syncope is challenging. In pediatric populations the current diagnostic gold standard, a tilt test, cannot be safely or properly performed, because the necessary non-invasive beat-to-beat blood pressure monitoring is not validated for children. In addition, low sodium intake is common in syncope patients, and salt supplementation is recommended. However, standard assessments of sodium from urine collections are difficult and unpleasant. This thesis demonstrated that: (i) continuous non-invasive finger blood pressure monitoring provides a novel, comfortable, and accurate approach for use in children compared to an intra-arterial catheter, (ii) Quantab test strips provide a valid alternative to flame photometry for the determination of 24-hour urine sodium levels, and corrected spot sample averages offer an acceptable and convenient alternative to 24-hour urine sampling. These advancements in diagnostic tools for syncope will enhance quality of life for affected individuals.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.453
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.012
GPT teacher head0.232
Teacher spread0.220 · 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.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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