ArticleIntestinal research2023
Proposal of novel staging system CNM (Crohn's primary site, nodes, mesentery) to predict postoperative recurrence of Crohn's disease.
Article in Intestinal research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
- Emerging role of intestinal ultrasound in detecting postoperative recurrence in Crohn's disease.Gastroenterology report · 2026Review
- Managing Crohn's Disease Postoperative Recurrence Beyond Prophylaxis: A Comprehensive Review with Meta-Analysis.Biomedicines · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
After oncologic resection, histological grading and staging of the tumor give important prognostic information about the future risk of recurrence and hence influence the subsequent management plan. Several studies and their meta-analysis have shown that various histological features (e.g., microscopic positive resection margins, plexitis, granuloma, mesenteric inflammatory activity) can predict postoperative clinical/endoscopic/surgical recurrence after resection in Crohn's disease (CD). Inclusion of mesentery in surgical resection specimens has been shown to reduce surgical recurrence after ileocolonic resection in CD. However, there is no uniform histopathological staging system for risk stratification in postoperative CD to systematically predict postoperative recurrence. This is because the prediction to date is based on clinical characteristics (smoking status, disease phenotype, surgical history). Histopathological predictors are still not adopted in routine clinical practice due to the lack of a uniform staging system, heterogeneity of published studies and lack of standardized definition of histological features. In this article, we attempted to incorporate all such histological features in a single histological staging system CNM (Crohn's primary site [resection margin positivity, plexitis, granuloma, depth of infiltration], nodes [presence of granuloma], mesentery [involved or not]) in surgical resection specimen in CD. The proposed CNM classification would help to enable systematic reporting, design future clinical trials, stratify postoperative recurrence risk and choose appropriate postoperative prophylaxis.
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