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It's Not All Smooth Muscle: Non-Smooth-Muscle Elements in Control of Resistance to Airflow

2010· review· en· W2127150210 on OpenAlexafffund
Ynuk Bossé, Erik Riesenfeld, Peter D. Paré, Charles G. Irvin

Bibliographic record

VenueAnnual Review of Physiology · 2010
Typereview
Languageen
FieldMedicine
TopicInhalation and Respiratory Drug Delivery
Canadian institutionsUniversity of British ColumbiaProvidence Health Care
FundersNational Heart, Lung, and Blood InstituteCanadian Institutes of Health ResearchNational Institutes of HealthNational Center for Research ResourcesDrexel University
KeywordsAirway resistanceAirflowAirwayMedicineParenchymaLungCardiologyInternal medicinePathologyAnesthesia

Abstract

fetched live from OpenAlex

To achieve gas exchange, inspired air must pass through an intricate and dynamic tracheobronchial tree. The tree offers resistance to airflow, and increased resistance is the most important functional change in lung disease. Numerous mechanisms contribute to increased resistance by causing airway narrowing, closure, occlusion, and/or obliteration. Although airway smooth muscle (ASM) contraction and shortening are an important cause of increased resistance, non-ASM elements can also contribute. Nonmuscle elements can modify the amount of airway narrowing for any given level of ASM shortening and the amount of shortening for a given level of ASM activation. In this review, we outline the physiological basis for airflow resistance and describe how changes in the lung parenchyma, the airways, and their luminal contents can contribute to increased airflow resistance. A detailed understanding of the mechanisms and consequences of increased airway resistance is vital to our attempts to alleviate the enormous burden of suffering caused by obstructive lung diseases.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.882
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.023
GPT teacher head0.346
Teacher spread0.323 · 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.

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

Citations73
Published2010
Admission routes2
Has abstractyes

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