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Record W1974124185 · doi:10.1007/s00547-002-0937-3

Role of oxyradicals in the pathophysiology of hemorrhagic shock

2002· article· en· W1974124185 on OpenAlexaff
Kailash Prasad, Paul C. Lee

Bibliographic record

VenueInternational Journal of Angiology · 2002
Typearticle
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMedicinePathophysiologyHemorrhagic shockShock (circulatory)CardiologyIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

Oxyradicals have been implicated in the pathophysiology of numerous diseases. This review describes the role of oxyradicals in cardiovascular depression and cellular injury during hemorrhagic shock and reinfusion. Clinical classification of shock has been provided. Physiological basis of signs and symptoms of hemorrhagic shock has been tabled. This review provides data that the cardiac function and contractility are depressed during shock and reinfusion. The cardiac depression is associated with increases in the lipid peroxidation product malodialdehyde (MDA), in the oxygen radical producing activity of polymorphonuclear leukocytes, and the activity of plasma creatine kinase and CKMB. Also the antioxidant reserve is depressed in the myocardium. Antioxidant enzyme activity is affected adversely. Pretreatment with antioxidants retards the cardiac depression and reduces oxidative stress. In this respect polymorphonuclear leukocytes play a role in the cardiac depression in hemorrhagic shock and reinfusion. The increase in the vascular resistance appears to be associated with oxidative stress. The data to-date suggest that oxyradicals play a role in the cardiac depression and cellular injury during hemorrhagic shock and reinfusion and that the antioxidant treatment may be beneficial in hemorrhagic shock and reinfusion.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.871
Threshold uncertainty score0.480

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 head0.013
GPT teacher head0.264
Teacher spread0.251 · 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 designBench or experimental
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
Published2002
Admission routes1
Has abstractyes

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