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CHANGES IN HEMORHEOLOGICAL PROFILE OF MEN WITH CHD ENTERING A PHASE I/II CARDIAC REHABILITATION PROGRAM

2002· article· en· W1991627187 on OpenAlexaff
Min V. van Velzen, Edward C. Rhodes, Andrew Ignaszewski, D. Lyster, A. D. Martin, Ashvinikumar V. Mudaliar

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2002
Typearticle
Languageen
FieldMedicine
TopicBlood properties and coagulation
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHematocritMedicineRehabilitationFibrinogenInternal medicineCardiologyPhysical therapy

Abstract

fetched live from OpenAlex

The purpose of this study was to determine if several hemorheological parameters remained constant for older men entering a phase I/II cardiac rehabilitation program. Ten nonsmoking men with known ischemic heart disease (IHD) not taking diuretics (mean age = 60.2 ± 11.6 yrs) volunteered to participate in this study. Initial blood samples were taken during the cardiac rehabilitation admission clinic and analyzed for plasma fibrinogen concentration (FIB)(3.2 ± 0.5 g/l), hematocrit (HC) (39.2 ± 3.5), and plasma viscosity (PV)(1.28 ± 0.09 mPa's). Subjects were returned to the community while they waited to start the formal cardiac rehabilitation classes. During this time (mean interval = 39.1 ± 13.0 days) no formal exercise prescription was followed nor was there any significant change to their pharmacological therapy. Subjects were then re-tested for FIB (3.1 ± 0.5 g/l), HC (36.7 ± 4.6) and PV (1.21 ± 0.7 mPa · s) just prior to starting the cardiac rehabilitation classes. Two tailed, paired t-test revealed a significant change to PV (p < 0.01) and HC (p < 0.01) but no significant change to FIB (p = 0.41). Further analysis revealed a significant correlation between the change in PV and the change in FIB (r = 0.71, p < 0.01), and a significant correlation between the change in PV and the change in HC (r = 0.51, p = 0.05). The findings suggest: 1) PV and HC did not remain constant over the time period, 2) a significant relationship indicates the change in PV can be accounted for by the change in FIB, 3) the common decrease in HC and FIB (both concentration measures) suggest that there was a change in plasma volume.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.022
GPT teacher head0.288
Teacher spread0.266 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2002
Admission routes1
Has abstractyes

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