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Hypertonic Saline and the Microcirculation

2003· review· en· W118422716 on OpenAlexaff
José L. Pascual, Kosar Khwaja, Prosanto Chaudhury, Nicolas V. Christou

Bibliographic record

VenueThe Journal of Trauma: Injury, Infection, and Critical Care · 2003
Typereview
Languageen
FieldMedicine
TopicTrauma, Hemostasis, Coagulopathy, Resuscitation
Canadian institutionsRoyal Victoria HospitalMcGill University Health CentreDefence Research and Development CanadaMcGill UniversityMedical Council of Canada
Fundersnot available
KeywordsHypertonic salineResuscitationMicrocirculationTonicityMedicineShock (circulatory)EndotheliumAnesthesiaInternal medicine

Abstract

fetched live from OpenAlex

The systemic inflammation that occurs in shock states is believed to promote overexuberant microcirculatory activation, the release of toxic proteases and oxygen radicals causing microvascular damage, and subsequent tissue and organ injury. Although shock-associated microvascular failure is often unresolved after standard resuscitation, hypertonic saline (HTS) appears to reduce microvascular collapse, restoring vital nutritional blood flow. In addition, hypertonic fluids tend to blunt the up-regulation of leukocyte and endothelial adhesion molecules that occurs with isotonic resuscitation of shock. Recently, direct evaluation by intravital microscopy has shown that HTS resuscitation dampens the interactions between leukocytes, platelets, and endothelium found with Ringer's lactate resuscitation. Furthermore, fewer cellular interactions have been correlated with attenuation in microvascular wall permeability after resuscitation with HTS. Better characterization of microcirculatory effects by hypertonic saline may provide mechanisms for improved morbidity and mortality associated with hypertonic resuscitation.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.040
GPT teacher head0.372
Teacher spread0.332 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations88
Published2003
Admission routes1
Has abstractyes

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Same venueThe Journal of Trauma: Injury, Infection, and Critical CareSame topicTrauma, Hemostasis, Coagulopathy, ResuscitationFrench-language works237,207