Peripheral Blood Inflammatory Markers and Crohn’s Disease: Lymphocytes Counts Could Predict Stricture Lesions 
Bibliographic record
Abstract
Abstract Background: Intestinal stricture is a complication of Crohn’s disease (CD) due to fibrosis, but there are no biomarkers for predicting intestinal strictures before clinical obstruction. It is reported that several types of lymphocytes (LC) are involved in the pathogenesis of intestinal fibrosis. However, few studies have focused on the peripheral blood LC in patients with CD associated stricture.Aim：To analyze the relationships between peripheral blood inflammatory markers especially LC and CD to provide evidence for CD diagnosis and therapy. Methods: A total of 158 CD patients who underwent single-balloon enteroscopy from January 2016 to June 2019 in Jinling Hospital were retrospectively enrolled. The Montreal classification, maintenance medicines, CD activity index (CDAI), simple endoscopic score for CD (SES-CD), full blood count and C-reactive protein (CRP) level were recorded. The relationships among peripheral blood inflammatory markers, disease activity and intestinal strictures were analyzed using SPSS 22.0. Results: After excluding 8 patients treated with azathioprine, which severely affects blood counts, 150 patients were divided into two groups: a stricture group (n=82) and non-stricture group (n=68). LC and the proportion of lymphocytes (LC%) were significantly lower in the stricture group than in the non-stricture group, p was 0.000 and 0.018, respectively, and LC was an independent risk factor of stricture lesion. In the subgroup analysis, 30 strictures without obstruction were classified as mild strictures, and 52 cases of obstruction were in the severe stricture group. LC notably decreased following stricture aggravation, p=0.000. The area under the curve (AUC) of LC predicting strictures was 0.711 with sensitivity of 73.5% and a specificity of 63.4% (cutoff: 1.245). Conclusion: LC gradually decreases as intestinal strictures aggravated and could be a new marker for predicting intestinal strictures in CD patients.
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 | 0.000 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".