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Record W2992743787 · doi:10.1164/rccm.201911-2154le

Reply to Janssen and Wouters: Loss of Alveolar Attachments as a Pathomechanistic Link between Small Airway Disease and Emphysema

2019· letter· en· W2992743787 on OpenAlexaff
Dragoş M. Vasilescu, Tillie‐Louise Hackett, Fernando J. Martínez, Jeffrey L. Curtis, James C. Hogg, MeiLan K. Han

Bibliographic record

VenueAmerican Journal of Respiratory and Critical Care Medicine · 2019
Typeletter
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBronchioleMedicineAirwayLumen (anatomy)Small airwaysPathologyLungInternal medicineSurgery

Abstract

fetched live from OpenAlex

remaining small airways have thickened walls and narrowed lumens (3).However, it remains to be determined how small airway disease leads to emphysema.Based on Vascilescu and colleagues' study in combination with decades-old research (1, 6), we propose that loss of bronchiolar-alveolar attachments is the most plausible link between small airway disease and emphysema.Lungs from smokers and lifelong nonsmokers who died suddenly of nonrespiratory causes outside of a hospital, as well as lungs/lobes from smokers who had undergone resection for localized pulmonary lesions, were examined by Saetta and colleagues (6).The internal diameter of the small airways and the alveolar size-as histological measures of small airway disease and emphysema, respectively-did not significantly differ between groups.However, reduced numbers of normal bronchiolar-alveolar attachments were found in smokers compared with never-smokers.Furthermore, the quantity and quality of the bronchiolar-alveolar attachments was related to the level of inflammation in the small airways.Figure 1 of Saetta and colleagues' article, which shows a cross-section of a nonrespiratory bronchiole surrounded by alveoli, probably says more than a thousand words.Inflammation has progressed through the entire airway wall into adjacent alveolar septa, which are relatively thin compared with the much thicker bronchiolar wall and would be the first to succumb to inflammation-induced proteolytic activity.In a microcomputed tomography analysis, Vascilescu and colleagues showed that PRM SAD was related to an increased number of obstructed terminal bronchioles, decreased terminal bronchial cross-sectional lumen area, and decreased circularity of the terminal bronchioles, whereas PRM Emph was associated with airspace size, alveolar surface area, and the number of alveolar attachments (1).Previously, Labaki and colleagues demonstrated that over a 5-year period, PRM SAD often evolves into PRM Emph (5).Together, these PRM studies suggest that lung areas with small airway disease only transform into emphysema if bronchiolar-alveolar attachments are destroyed (1, 5).Based on the above findings, we propose the following sequence of pathological steps leading from smoking to emphysema formation: deposition of cigarette smoke particles in small airways→inflammation of small airways→propagation of inflammation through the entire bronchiolar wall into adjacent alveolar septa→destruction of bronchiolar-alveolar attachments→lung parenchyma degradation proceeding from the centers of the secondary pulmonary lobules toward the surrounding interlobular septa.Disease-modifying therapies should be established to prevent destruction of bronchiolar-alveolar attachments and thus the progression from small airway disease to emphysema.

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)0.006
metaresearch head score (Gemma)0.024
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.029
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0020.005
Scholarly communication0.0030.008
Open science0.0040.003
Research integrity0.0290.054
Insufficient payload (model declined to judge)0.0040.005

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 head0.024
GPT teacher head0.333
Teacher spread0.309 · 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
GenreCommentary

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

Citations5
Published2019
Admission routes1
Has abstractyes

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