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Record W2117852795 · doi:10.1258/0023677052886529

Short duration hyperbaric oxygen treatment effects blood flow in rats: pilot observations

2005· article· en· W2117852795 on OpenAlexaff
Esa Klemetti, S. Rico-Vargas, Philippe Mojon

Bibliographic record

VenueLaboratory Animals · 2005
Typearticle
Languageen
FieldMedicine
TopicDiabetic Foot Ulcer Assessment and Management
Canadian institutionsMcGill University
Fundersnot available
KeywordsBlood flowLaser Doppler velocimetryMedicinePerfusionHyperbaric oxygenRevascularizationHyperbaric oxygenationBlood pressureAnesthesiaSurgeryCardiologyInternal medicine

Abstract

fetched live from OpenAlex

Hyperbaric oxygen (HBO) treatment has been found to improve healing in living tissues, especially those poor in oxygen. The effects of HBO have also been tested in rat experiments. However, oxygen partial pressure in rat's arterial blood is normally about twice that in humans. Disregarding this, a human HBO protocol has been applied in previous rat experiments with HBO. Laser Doppler flowmetry (LDF) is a non-invasive means for measuring blood flow. Using LDF, we measured the blood perfusion rate in rats receiving HBO, according to a modified protocol, in a region of healing soft tissue with bone defect. The results indicate that, in rats, shorter HBO treatment with high O2 pressure can significantly improve the blood flow of healing tissues. In this study, an elevated blood perfusion rate was still evident 2 weeks after the ending of HBO therapy, which indicates improved revascularization in the wound area. A short HBO protocol would save time and effort in future HBO experiments on rats.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.277
Teacher spread0.250 · 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

Citations16
Published2005
Admission routes1
Has abstractyes

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