MétaCan
Menu
Back to cohort

Cellular effects of ventilator-induced lung injury

2000· article· en· W2074144299 on OpenAlexaff
Haibo Zhang, V. Marco Ranieri, Arthur S. Slutsky

Bibliographic record

VenueCurrent Opinion in Critical Care · 2000
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsMount Sinai HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineLungMechanical ventilationVentilation (architecture)Respiratory physiologyInflammationARDSRespiratory distressAnesthesiaInternal medicine

Abstract

fetched live from OpenAlex

Patients with acute respiratory distress syndrome or acute lung injury often have a number of risk factors that increase the lung’s susceptibility to injury by mechanical ventilation and that also decrease the lung’s ability to repair the damage incurred. Mechanical ventilation may worsen lung injury by physical force as a result of regional lung overdistension or regional lung shear forces generated during receptive opening and collapse of lungs. The structural disruption caused by ventilation can lead to release of inflammatory mediators, and ventilation per se may also directly activate effector cells to release mediators, resulting in systemic inflammation. Recent clinical studies suggest that lung-protective ventilatory strategies can reduce the incidence of ventilator-induced lung injury, resulting in a decrease in mortality. Monitoring of dynamic pressure-time curve during constant inflation may help to predict and minimize ventilator-induced lung injury. Pharmacologic interventions blocking the release of mediators from effector cells and inhibiting the activity of mediators have also shown promise in animal studies.

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 score0.630
Threshold uncertainty score0.733

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)0.0010.000

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 head0.069
GPT teacher head0.412
Teacher spread0.343 · 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

Citations3
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueCurrent Opinion in Critical CareSame topicRespiratory Support and MechanismsFrench-language works237,207