Capsule Endoscopy Has a Significantly Higher Diagnostic Yield in Patients With Suspected and Established Small-Bowel Crohn's Disease: A Meta-Analysis
Bibliographic record
Abstract
OBJECTIVES: Capsule endoscopy (CE) has demonstrated superior performance compared with other modalities in its ability to detect early small-bowel (SB) Crohn's disease (CD), especially when ileoscopy is negative or unsuccessful. The aim of this study was to evaluate the diagnostic yield of CE compared with other modalities in patients with suspected and established CD using a meta-analysis. METHODS: A thorough literature search for prospective studies comparing the diagnostic yield of CE with other modalities in patients with CD was undertaken. Other modalities included push enteroscopy (PE), colonoscopy with ileoscopy (C+IL), SB radiography (SBR), computed tomography enterography (CTE), and magnetic resonance enterography (MRE). Data on diagnostic yield among various modalities were extracted, pooled, and analyzed. Data on patients with suspected and established CD were analyzed separately. Weighted incremental yield (IYW) (diagnostic yield of CE-diagnostic yield of comparative modality) and 95% confidence intervals (CIs) of CE over comparative modalities were calculated. RESULTS: A total of 12 trials (n=428) compared the yield of CE with SBR in patients with CD. Eight trials (n=236) compared CE with C+IL, four trials (n=119) compared CE with CTE, two trials (n=102) compared CE with PE, and four trials (n=123) compared CE with MRE. For the suspected CD subgroup, several comparisons met statistical significance. Yields in this subgroup were CE vs. SBR: 52 vs. 16% (IYw=32%, P<0.0001, 95% CI=16-48%), CE vs. CTE: 68 vs. 21% (IYw=47%, P<0.00001, 95% CI=31-63%), and CE vs. C+IL: 47 vs. 25% (IYw=22%, P=0.009, 95% CI=5-39%). Statistically significant yields for CE vs. an alternate diagnostic modality in established CD patients were seen in CE vs. PE: 66 vs. 9% (IYw=57%, P<0.00001, 95% CI=43-71%), CE vs. SBR: 71 vs. 36% (IYw=38%, P<0.00001, 95% CI=22-54%), and in CE vs. CTE: 71 vs. 39% (IYw=32%, P=or<0.0001, 95% CI=16-47%). CONCLUSIONS: Our meta-analysis demonstrates that CE is superior to SBR, CTE, and C+IL in the evaluation of suspected CD patients. CE is also a more effective diagnostic tool in established CD patients compared with SBR, CTE, and PE.
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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 | 0.019 | 0.044 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.042 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".