The 2023 Impact of Inflammatory Bowel Disease in Canada: COVID-19 and IBD
Bibliographic record
Abstract
The COVID-19 pandemic had a monumental impact on the inflammatory bowel disease (IBD) community. At the beginning of the pandemic, knowledge on the effect of SARS-CoV-2 on IBD was lacking, especially in those with medication-suppressed immune systems. Throughout the pandemic, scientific literature exponentially expanded, resulting in clinical guidance and vaccine recommendations for individuals with IBD. Crohn's and Colitis Canada established the COVID-19 and IBD Taskforce to process and communicate rapidly transforming knowledge into guidance for individuals with IBD and their caregivers, healthcare providers, and policy makers. Recommendations at the onset of the pandemic were based on conjecture from experience of prior viruses, with a precautionary principle in mind. We now know that the risk of acquiring COVID-19 in those with IBD is the same as the general population. As with healthy populations, advanced age and comorbidities increase the risk for severe COVID-19. Individuals with IBD who are actively flaring and/or who require high doses of prednisone are susceptible to severe COVID-19 outcomes. Consequently, sustaining maintenance therapies (e.g., biologics) is recommended. A three-dose mRNA COVID-19 vaccine regimen in those with IBD produces a robust antibody response with a similar adverse event profile as the general population. Breakthrough infections following vaccine have been observed, particularly as the virus continues to evolve, which supports receiving a bivalent vaccine booster. Limited data exist on the impact of IBD and its therapies on long-term outcomes following COVID-19. Ongoing research is necessary to address new concerns manifesting in those with IBD throughout the evolving pandemic.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".