The Diagnostic Accuracy of Fecal Calprotectin During the Investigation of Suspected Pediatric Inflammatory Bowel Disease
Bibliographic record
Abstract
OBJECTIVES: Fecal calprotectin (FC) is elevated in patients with inflammatory bowel disease (IBD). Studies evaluating FC during the initial investigation of children with suspected IBD have been limited, especially with regard to their small patient groups. We aimed to evaluate the diagnostic accuracy of FC in a large regional cohort of children undergoing full upper and lower endoscopy for suspected IBD, comparing FC with six common blood parameters. METHODS: Using a retrospective case-control design all FC measurements carried out between 2005 and 2010 in children <18 years old were obtained. All IBD and non-IBD patients who had a FC measurement available before full endoscopic evaluation for suspected bowel inflammation were examined. FC was measured using the PhiCal Test. Multivariate analyzes and receiver operating characteristic curve generation were used to derive significance. RESULTS: A total of 190 patients (91 IBD and 99 non-IBD controls) met the inclusion criteria. Median FC at diagnosis for the IBD group was 1,265 μg/g (interquartile range (IQR) 734-2,024 μg/g), compared with 65 μg/g (IQR 20-235 μg/g) in controls (P<0.001). FC levels did not vary significantly between patients with Crohn's disease, ulcerative colitis, and IBD unclassified and were not influenced by age or disease location. FC was found to be far superior to commonly utilized blood parameters such as C-reactive protein and white cell count (both P<0.01), with an area under the curve of 0.93 (95% confidence interval 0.89-0.97). CONCLUSIONS: This study demonstrates that FC is an invaluable tool in determining those children who may require endoscopy for suspected IBD, and elevated values should prompt further investigation.
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 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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".