Do NSAIDs, Antibiotics, Infections, or Stress Trigger Flares in IBD?
Bibliographic record
Abstract
Non-steroidal anti-inflammatory drugs (NSAIDs), antibiotics, enteric or other systemic infections, and stress have all been reported to be potential triggers of inflammatory bowel disease (IBD). Although a mechanism of triggering a flare of IBD can be hypothesized for each factor, the associations of these factors with flares of IBD remains confusing. In this review, we analyze the literature that explores these associations. There is some evidence to support an association between NSAID use and flares but little data to associate antibiotic use directly with flares. An important connection between antibiotic use and an exacerbation of symptoms is through the development of Clostridium difficile infections. However, for all enteric infections, including C. difficile, it is unclear whether these infections simply trigger symptoms in patients with IBD that resolve on resolution of the infection, or whether they truly trigger a flare of intestinal inflammation that outlasts the infection. There is a paucity of evidence that other systemic infections trigger flares of IBD. Although there is strong evidence for an association between perceived stress levels and flares, there is a weaker association between a simple accounting of stressful life events and flares. Much of the literature is limited by a lack of adequate control groups and failure to report on base rates in the population under study (i.e., NSAIDs and antibiotic use, occurrence of infections, and stress levels). More large population-based matched cohort or case crossover studies and a continued emphasis on prospective designs are needed to better explore these potential associations. Clinical implications given the current state of knowledge are discussed.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".