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Record W1481896486

Dysautonomia among patients with fibromyalgia: a noninvasive assessment.

2000· article· en· W1481896486 on OpenAlexaff
Satish R. Raj, D. Brouillard, Christopher S. Simpson, Wilma M. Hopman, Hoshiar Abdollah

Bibliographic record

VenuePubMed · 2000
Typearticle
Languageen
FieldMedicine
TopicFibromyalgia and Chronic Fatigue Syndrome Research
Canadian institutionsKingston Health Sciences CentreQueen's University
Fundersnot available
KeywordsDysautonomiaMedicineFibromyalgiaTilt table testHeart rate variabilityAutonomic nervous systemInternal medicineHeart rateVasovagal syncopeQuality of life (healthcare)CardiologyBalance (ability)Physical therapyBlood pressureDiseaseReflex
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: Fibromyalgia (FM) is a prevalent and poorly understood disorder associated with a significant amount of disability. Some clinical characteristics are common to both FM and vasovagal syncope (which is caused by dysautonomia). We assessed the response of patients with FM to a head up tilt table test (HUT). We also examined sympathovagal balance by assessing heart rate variability (HRV). METHODS: We studied 17 women with FM and 14 female control subjects. After baseline functional assessments, they underwent a 3 stage HUT (with isoproterenol). HRV was assessed over a 24 h period and also before and during HUT. Quality of life was assessed using the Medical Outcomes Study SF-36 Short Form Health Survey. RESULTS: HUT was positive in 64.7% of the patients with FM compared with 21.3% of controls (p = 0.016). FM patients had less HRV, as measured by either time domain or frequency domain analysis. The FM group had a different response to HUT than controls. Quality of life was significantly lower in patients with FM compared to controls (p < or = 0.001 in all domains). CONCLUSION: Patients with FM have abnormal responses to 2 tests of autonomic nervous system function. Further research is needed to determine if dysautonomia plays a role in the pathogenesis of FM or is a result of FM.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0030.000

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 head0.010
GPT teacher head0.233
Teacher spread0.223 · 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

Citations130
Published2000
Admission routes1
Has abstractyes

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