ArticleInternational journal of general medicine2024
Predictive Value of MHR and NLR for Ulcerative Colitis Disease Activity.
Article in International journal of general medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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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.
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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
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The predictive role of peripheral serum inflammatory markers NLR, PLR, and LMR in ulcerative colitis and Crohn's disease: a systematic review and meta-analysis.Frontiers in immunology · 2025Pooled it
- Monocyte-to-HDL ratio predicts 30-day mortality in middle-aged and elderly patients with HBV-related decompensated cirrhosis.BMC infectious diseases · 2026Article
- A comparative study on the clinical differences in traditional Chinese medicine pattern in ulcerative colitis utilizing multidimensional data.Frontiers in medicine · 2026Article
- Role of serological biomarkers in evaluating and predicting endoscopic activity in inflammatory bowel disease.World journal of gastroenterology · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Numerous non-invasive serologic tests are available to diagnose and monitor ulcerative colitis (UC), but their accuracy levels are limited. Thus, there is a pressing need for a serologic biomarker with higher precision for clinical practice. This study aims to evaluate the predictive capacity of monocyte/HDL ratio (MHR) and neutrophil/lymphocyte ratio (NLR) for UC disease activity. Patients and Methods: We conducted a retrospective analysis of 81 UC patients and 77 age- and sex-matched healthy controls. UC patients were categorized into active and inactive groups based on the Mayo score. The Mayo endoscopic subscore classified them into mild-to-moderate and severe UC groups. Results: The optimal cut-off values for diagnosing UC were 0.34 for MHR (85.7% sensitivity, 76.0% specificity, 88.9% positive predictive value, 70.4% negative predictive value) and 2.49 for NLR (66.1% sensitivity, 88.0% specificity, 92.5% positive predictive value, 53.7% negative predictive value). The optimal MHR and NLR cut-off values to differentiate between mild-to-moderate UC and severe UC were 0.38 (92.9% sensitivity, 56.6% specificity, 53.1% positive predictive value, 93.7% negative predictive value) and 3.46 (71.4% sensitivity, 88.7% specificity, 76.9% positive predictive value, 85.5% negative predictive value), respectively. Conclusion: NLR and MHR are simple yet effective biological predictors of disease activity in UC patients.
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