MétaCan
Menu
Back to cohort
Record W2090361198 · doi:10.1159/000287624

Psychophysiological Disorders in Anxious Patients: Hypertension and Hypotension

2010· article· en· W2090361198 on OpenAlexaff
Réjean Fontaine, Denis Boisvert

Bibliographic record

VenuePsychotherapy and Psychosomatics · 2010
Typearticle
Languageen
FieldMedicine
TopicTreatment of Major Depression
Canadian institutionsRoyal Victoria HospitalMcGill University
Fundersnot available
KeywordsBlood pressureMedicinePlaceboBromazepamPopulationHeart rateAnxietyIncidence (geometry)AnesthesiaCardiologyInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Anxious patients have a higher incidence than the general population for cardiovascular disorders and sudden death. Several studies have emphasized abnormal pulse rate, abnormal heart response conditioning, high incidence of arrhythmia, and abnormal blood pressure. Essential hypertension has been studied in relation to stress, and chronic hypotension ('low blood pressure syndrome') has been clinically recognized for decades, but rarely systematically studied. We investigated these abnormal blood pressures in anxious patients, during controlled trials with 80 patients having generalized anxiety disorder as defined in DSM III, for at least 6 months duration, and of moderate to severe intensity. They were randomly assigned to placebo, or bromazepam, 18 mg/day. Blood pressure, pulse, and several other measurements were taken on a weekly basis for 2 months (washout phase--1 week, treatment phase--4 weeks, and withdrawal phase--3 weeks). One third of these patients had an abnormal blood pressure (hypertension or hypotension) while untreated, and this is statistically significant when compared to a matched control group of nonanxious patients. Bromazepam improved several patients having either hypertension or chronic hypotension. These findings are relevant for long-term treatment of anxious patients, since cardiovascular psychosomatic complications are a major health problem.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.319
Threshold uncertainty score0.667

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)0.0000.000

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 head0.007
GPT teacher head0.251
Teacher spread0.244 · 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

Citations9
Published2010
Admission routes1
Has abstractyes

Explore more

Same venuePsychotherapy and PsychosomaticsSame topicTreatment of Major DepressionFrench-language works237,207