MétaCan
Menu
← Back to cohort
Record W4410510781 · doi:10.1164/rccm.202501-0246oc

Prevention of Cardiovascular and Other Systemic Adverse Outcomes in Patients with Asthma Treated with Biologics

2025· article· en· W4410510781 on OpenAlexafffund
Mohsen Sadatsafavi, Trung N. Tran, Ghislaine Scélo, Ming‐Ju Tsai, John Busby, Benjamin Emmanuel, Liam G. Heaney, Christine Jenkins, Flavia Hoyte, Giorgio Walter Canonica, Rohit Katial, Enrico Heffler, Eileen Wang, Francesca Puggioni, Michael E. Wechsler, Ledit Ardusso, Jorge Máspero, Martín Sívori, Cathy Emmas, Andrew Menzies‐Gow, Neda Stjepanovic, Sinthia Bosnic‐Anticevich, Belinda Cochrane, Eve Denton, Peter G. Gibson, Mark Hew, Peter G. Middleton, Matthew Peters, Guy Brusselle, Renaud Louis, Florence Schleich, George Christoff, Todor A. Popov, Céline Bergeron, Mohit Bhutani, Kenneth R. Chapman, Andréanne Côté, Simon Couillard, Delbert R. Dorscheid, Libardo Jiménez-Maldonado, Iván Solarte, Carlos A. Torres‐Duque, Susanne Hansen, Celeste Porsbjerg, Charlotte Suppli Ulrik, Alan Altraja, Arnaud Bourdin, Konstantinos Exarchos, Athena Gogali, Κonstantinos Κostikas, Μichael Μakris, Andriana Ι. Papaioannou, Patrick Mitchell, Takashi Iwanaga, Tatsuya Nagano, Yuji Tohda, Mona Al‐Ahmad, Désirée Larenas‐Linnemann, Bernt Bøgvald Aarli, Piotr Kuna, Cláudia Chaves Loureiro, Riyad Al‐Lehebi, Adeeb A. Bulkhi, Wenjia Chen, Yah Ru Juang, Mariko Siyue Koh, Anqi Liu, Chin Kook Rhee, Borja G. Cosío, Luis Pérez de Llano, Diahn‐Warng Perng, Chau‐Chyun Sheu, Hao‐Chien Wang, Bassam Mahboub, Laila Salameh, David J. Jackson, Pujan H. Patel, Paul Pfeffer, Njira Lugogo, Roy A. Pleasants, Aaron Beastall, Lakmini Bulathsinhala, Victoria Carter, Nevaashni Eleangovan, Kirsty Fletton, John Townend, Ruth Murray, David Price

Bibliographic record

VenueAmerican Journal of Respiratory and Critical Care Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsUniversity of TorontoUniversité LavalUniversity of AlbertaVancouver General HospitalUniversité de SherbrookeVancouver Hospital and Health Sciences CentreUniversity of British Columbia
FundersNational Research Foundation SingaporeOptimum Patient CareNovartis Pharmaceuticals CanadaTrinity College DublinGlaxoSmithKlineTeva Canada Innovation
KeywordsMedicineAsthmaAdverse effectHazard ratioInternal medicineCohortProportional hazards modelPediatricsConfidence interval

Abstract

fetched live from OpenAlex

Abstract Rationale Although clinical trials have documented the oral corticosteroid (OCS)-sparing effect of biologics in patients with severe asthma, little is known about whether this translates to a reduction of new-onset OCS-related adverse outcomes. Objectives To compare the risk of developing new-onset OCS-related adverse outcomes between biologic initiators and noninitiators. Methods This was a longitudinal cohort study using pooled data from the International Severe Asthma Registry (ISAR; 16 countries) and the Optimum Patient Care Research database (OPCRD; United Kingdom). For biologic initiators, the index date was the date of biologic initiation. For noninitiators, it was the date of enrollment (for ISAR) or a random medical appointment date (for OPCRD). Inverse probability of treatment weighting was used to improve comparability between groups, and weighted Cox proportional hazard models were used to estimate the hazard ratios (HRs) of developing OCS-related adverse outcomes for up to 5 years from the index date. Measurements and Main Results A total of 42,908 patients were included. Overall, 27.3% and 4.7% of biologic initiators and noninitiators were long-term OCS users (daily intake ⩾90 consecutive days in year before the index date), with a mean prednisolone-equivalent daily dose of 10.2 mg and 6.2 mg, respectively. Compared with noninitiators, biologic initiators had decreased rate of developing any OCS-related adverse outcome (HR [95% confidence interval (CI)]: 0.82 [0.72–0.93]; P = 0.002), primarily driven by reduced rate of developing diabetes (0.62 [0.45–0.87]; P = 0.006), major cardiovascular events (0.65 [0.44–0.97]; P = 0.034), and anxiety and/or depression (0.68 [0.55–0.85]; P = 0.001). There were no significant differences in the rates of new-onset cataract (HR, 0.77 [95% CI, 0.47–1.25]), sleep apnea (HR, 0.82 [95% CI, 0.78–1.41]), or other OCS-related adverse outcomes assessed (e.g., osteoporosis). The results were consistent across both datasets. Conclusions Our findings highlight the role for biologics in preventing new-onset OCS-related adverse outcomes in patients with severe asthma.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.277
Teacher spread0.268 · 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 designObservational
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

Citations17
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueAmerican Journal of Respiratory and Critical Care Medicine→Same topicAsthma and respiratory diseases→French-language works237,207→