P110 Iron deficiency and fatigue in inflammatory bowel disease: a systematic review
Bibliographic record
Abstract
<h3>Introduction</h3> The impact of iron deficiency without anaemia (IDWA) on fatigue in people with inflammatory bowel disease (IBD) is unclear. This systematic review examined the evidence whether iron deficiency with or without anaemia was associated with fatigue in inflammatory bowel disease to better inform the detection and treatment of iron deficiency in clinical practice. <h3>Methods</h3> The databases searched were MEDLINE, OVID, CINAHL and Web of Science. Inclusion criteria were studies measuring iron deficiency (ID) in accordance with recognised guidelines and patient-reported outcome measures (PROMs) of fatigue in patients with IBD of any level of disease activity. Assessment of bias was conducted using the Newcastle Ottawa Scale. Studies were grouped for syntheses according to if the exposure was iron deficiency without anaemia or iron deficiency regardless of haemoglobin level. <h3>Results</h3> 252 database results were identified and screened; 33 full records were reviewed from which 7 studies with a total of 1425 individuals were deemed eligible for inclusion in the results synthesis. Considerable variation in the methods and statistical analysis used to investigate the relationship between iron deficiency and fatigue prevented any quantitative synthesis. Studies varied by disease activity levels in the cohort under investigation and approaches used to define iron deficiency with different PROMs used to measure fatigue. Three studies directly compared fatigue scores in IDWA to those who were not ID, two of which showed patients with IDWA in mixed groups of people with Crohn’s disease (CD) and ulcerative colitis (UC) had significantly lower fatigue scores. The other four studies used iron deficiency irrespective of anaemia as the exposure and reported mixed results on fatigue, with only one study reporting higher prevalence of fatigue in the ID group of UC patients. <h3>Conclusions</h3> Marked heterogeneity in mixed UC and CD populations, disease activity, and approach to determining iron deficiency and fatigue precludes definitive conclusion. Two studies report greater fatigue with IDWA but do not differentiate between CD and UC. Further studies are required using standardised design and measures to better understand the role of iron deficiency in fatigue in both CD and UC.
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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 | 0.010 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.007 |
| Bibliometrics | 0.009 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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 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".