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Record W2001743525 · doi:10.1038/sj.mn.7300096

Microvascular Dysfunction in Sepsis

2000· review· en· W2001743525 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMicrocirculation · 2000
Typereview
Languageen
FieldMedicine
TopicSepsis Diagnosis and Treatment
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsSepsisMicrocirculationVasodilationInflammationPathologyMedicineLungVascular permeabilityEndothelial dysfunctionImmunologyInternal medicine

Abstract

fetched live from OpenAlex

The microvascular dysfunction which occurs in sepsis involves all three elements of the microcirculation: arterioles, capillaries, and venules. In sepsis, the arterioles are hyporesponsive to vasoconstrictors and vasodilators. Sepsis also reduces the number of perfused capillaries, thereby impacting on oxygen diffusion to mitochondria. In the venules of some tissues (e.g., mesentery) there is an inflammatory response characterized by neutrophil infiltration and protein leakage. In addition, PMN-endothelial adhesive interactions occur in precapillary microvessels and capillaries in organs, such as, the lung and heart. Thus, all these elements of the microcirculation are involved in the sepsis-induced inflammation. In this review we address emerging views on the mechanisms involved in the microvascular dysfunction induced by sepsis within the framework of these three basic elements of the microcirculatory unit.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.994
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0010.001

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 head0.115
GPT teacher head0.370
Teacher spread0.255 · 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