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Record W2098108992 · doi:10.1164/rccm.2202020

Controlled Mechanical Ventilation Leads to Remodeling of the Rat Diaphragm

2002· article· en· W2098108992 on OpenAlexaff
Liying Yang, Jun Luo, Johanne Bourdon, Meng-Chi Lin, Stewart B. Gottfried, Basil J. Petrof

Bibliographic record

VenueAmerican Journal of Respiratory and Critical Care Medicine · 2002
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsDiaphragm (acoustics)MyosinMechanical ventilationMedicineVentilation (architecture)AnatomyGene isoformInternal medicinePopulationRespiratory systemAnesthesiaChemistryBiologyBiophysicsBiochemistry

Abstract

fetched live from OpenAlex

Little is known about the structural response of the diaphragm to controlled mechanical ventilation. We examined effects of this intervention on muscle mass, myosin heavy chain isoforms, and contractile function in the rat diaphragm. Animals were mechanically ventilated for up to 4 days, and comparisons were made with normal control rats as well as spontaneously breathing animals anesthetized for the same duration as the mechanical ventilation group. The diaphragm-to-body weight ratio was significantly reduced in the mechanical ventilation group only. After mechanical ventilation, an increase in hybrid fibers coexpressing both type I (slow) and type II (fast) myosin isoforms was found within the diaphragm, which occurred at the expense of the pure type I fiber population. In contrast, the percentages of type I, type II, and hybrid fibers in the limb muscles (soleus and extensor digitorum longus) did not differ between experimental groups. The optimal length for force production, as well as maximal force-generating capacity of the diaphragm, was also significantly decreased in mechanically ventilated animals. We conclude that even short-term controlled mechanical ventilation produces significant remodeling and functional alterations of the diaphragm, which could impede efforts at discontinuing ventilatory support.

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)0.001
metaresearch head score (Gemma)0.002
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.376
Threshold uncertainty score0.393

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.029
GPT teacher head0.312
Teacher spread0.283 · 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

Citations103
Published2002
Admission routes1
Has abstractyes

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