MétaCan
Menu
Back to cohort
Record W2020220553 · doi:10.1055/s-0028-1092878

The Role of Bronchoalveolar Hemostasis in the Pathogenesis of Acute Lung Injury

2008· review· en· W2020220553 on OpenAlexaff
Jorrit–Jan Hofstra, Jack J. Haitsma, Nicole P. Juffermans, Marcel Levi, Marcus J. Schultz

Bibliographic record

VenueSeminars in Thrombosis and Hemostasis · 2008
Typereview
Languageen
FieldMedicine
TopicSepsis Diagnosis and Treatment
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsARDSMedicineFibrinolysisBronchoalveolar lavageCoagulopathyProtein CImmunologyDiffuse alveolar damageHemostasisPlasminogen activatorFibrinTissue plasminogen activatorLungInternal medicineAcute respiratory distress

Abstract

fetched live from OpenAlex

Disturbed alveolar fibrin turnover is intrinsic to acute lung injury/acute respiratory distress syndrome (ALI/ARDS) and pneumonia and is important to its pathogenesis. Recent studies also suggest disturbed alveolar fibrin turnover to be a feature of ventilator-induced lung injury (VILI). The mechanisms that contribute to alveolar coagulopathy are localized tissue factor-mediated thrombin generation, impaired activity of natural coagulation inhibitors, and depression of bronchoalveolar urokinase plasminogen activator-mediated fibrinolysis, caused by the increase of plasminogen activator inhibitors. Administration of anticoagulant agents (including activated protein C, antithrombin, tissue factor-factor VIIa pathway inhibitors, and heparin) and profibrinolytic agents (including plasminogen activators) attenuate pulmonary coagulopathy. Several preclinical studies show additional anti-inflammatory effects of these therapies in ALI/ARDS and pneumonia. In this article, we review the involvement of coagulation and fibrinolysis in the pathogenesis of ALI/ARDS pneumonia and VILI and the potential of anticoagulant and profibrinolytic strategies to reverse pulmonary coagulopathy and pulmonary inflammatory responses.

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)0.001
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 score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.003

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 head0.066
GPT teacher head0.384
Teacher spread0.318 · 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

Citations35
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueSeminars in Thrombosis and HemostasisSame topicSepsis Diagnosis and TreatmentFrench-language works237,207