Is Iron Deficiency in the Absence of Anemia Associated With Fatigue in Inflammatory Bowel Disease?
Bibliographic record
Abstract
OBJECTIVES: We explored whether iron deficiency in the absence of anemia is associated with fatigue in inflammatory bowel disease (IBD). METHODS: We assessed iron deficiency and anemia in 280 participants from the population-based Manitoba IBD Cohort Study. RESULTS: Iron deficiency was identified in 20% with Crohn's disease and 27% with ulcerative colitis. Anemia was identified overall in 50 (18%), with 230 who were nonanemic. In the nonanemic subgroup, there were no significant differences between iron-deficient and -sufficient groups in mean fatigue levels or proportions with problematic fatigue. There was no unique contribution of iron deficiency to problematic fatigue after adjustment for active disease and anemia. CONCLUSIONS: There was no evidence of an association between iron deficiency and fatigue in the absence of anemia, suggesting that iron deficiency is not a clinically relevant contributor to fatigue in IBD.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".