Inflammatory Bowel Disease and Obstructive Pulmonary Disease: A Two-way Association?
Bibliographic record
Abstract
Inflammatory bowel diseases (IBD) is an umbrella term that covers both ulcerative colitis (UC) and Crohn's disease (CD), which are chronic inflammatory conditions of the gastrointestinal system. Airway diseases are one of the most commonly studied manifestations of IBD. It is observed that populations with pre-existing obstructive pulmonary conditions are at higher risk of new-onset IBD. This newly documented evidence of increased incidence of IBD among patients with pulmonary diseases and the higher than the estimated prevalence of pulmonary diseases among IBD sufferers support the hypothesis of a two-way association. This review article focuses on summarizing the current knowledge and available evidence regarding the association between IBD and obstructive pulmonary diseases such as chronic obstructive pulmonary disease (COPD), emphysema, bronchiectasis, and asthma. We utilized PubMed as the primary search source and database and included the free full-text articles available on it, published over the past five years. We reviewed literature from multiple regions of the world, such as the US, UK, China, and Canada and compiled this traditional review article utilizing the information collected from 4,966,459 patients. Specifications such as age and gender were not mentioned in all articles. This review will serve to strengthen the existing research database concerning the relationship between IBD and obstructive pulmonary diseases. It will help to highlight the significance of the two-way association between IBD and obstructive pulmonary disease and the importance of treating these two conditions simultaneously. It will also raise awareness about the importance of timely detection of IBD and associated airway complications, leading to decreased disease burden and the treatment cost.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".