98%
921
2 minutes
20
Background: Severe acute pancreatitis (SAP) is a life-threatening condition requiring early diagnosis for timely intervention. Interleukin-6 (IL-6) is a pro-inflammatory cytokine that rises earlier in response to inflammation. C-reactive protein (CRP) is commonly used but has limited early diagnostic accuracy. This meta-analysis aims to head-to-head compare the diagnostic accuracy of IL-6 and CRP for early SAP diagnosis.
Methods: We systematically searched PubMed, Cochrane Library, and Google Scholar databases for relevant studies published until June 2024. We included those observational studies that reported the sensitivity and specificity of IL-6 and CRP for early SAP diagnosis. We compared the predictive accuracy of IL-6 versus CRP using pooled sensitivity, specificity, diagnostic odds ratio (DOR), and summary receiver operating characteristics area under the curve (SROC AUC). Heterogeneity was assessed using I statistic. Subgroup and meta-regression analyses were performed to address significant heterogeneity. Deeks' funnel plot was used to evaluate publication bias.
Results: Meta-analysis included 17 studies with 1517 patients diagnosed with AP, of which 496 had SAP. The pooled sensitivity, specificity, DOR, and SROC AUC of IL-6 were 86%, 81%, 25, and 0.90, respectively, while for CRP, they were 75%, 75%, 9, and 0.81, respectively. The comparative predictive accuracy of IL-6 versus CRP showed a significant difference in pooled sensitivity ( = 0.041) and SROC AUC ( < 0.001) but comparable specificity ( = 0.286) and DOR ( = 0.102).
Conclusion: IL-6 shows greater diagnostic accuracy than CRP for early SAP diagnosis. IL-6 can be considered both an early diagnostic and follow-up biomarker for AP.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12349824 | PMC |
http://dx.doi.org/10.4103/jfmpc.jfmpc_1750_24 | DOI Listing |
J Histotechnol
September 2025
Department of Pathology, Peking University Third Hospital, Beijing, China.
Amyloidosis encompasses a spectrum of rare disorders characterized by extracellular amyloid deposition. Achieving an accurate early diagnosis of systemic amyloidosis necessitates biopsy-specific pathological evaluation. Formalin-fixed, paraffin-embedded liver biopsy specimens were examined using Congo red staining, electron microscopy, immunohistochemistry (IHC), immunofluorescence, and Congo red-assisted laser microdissection with mass spectrometry (LMD/MS).
View Article and Find Full Text PDFClin Anat
September 2025
Division in Anatomy and Developmental Biology, Department of Oral Biology, Human Identification Research Institute, BK21 FOUR Project, Yonsei University College of Dentistry, Seoul, South Korea.
Plantar melanomas present unique diagnostic and surgical challenges owing to substantial regional variations in skin thickness. Although the Breslow thickness remains the primary criterion for staging and surgical excision, its application on plantar melanoma is complicated by the inherent thickness of the glabrous plantar epidermis, which may lead to tumor depth overestimation. Accurate assessment of plantar skin thickness is essential for optimizing staging accuracy and refining surgical margins.
View Article and Find Full Text PDFDan Med J
August 2025
Department of Hepatology and Gastroenterology, Aarhus University Hospital.
Introduction: A no-biopsy approach has been suggested for diagnosing coeliac disease (CD) in adult patients. This approach is already well established in diagnosing children with CD. This study aimed to evaluate the accuracy of IgA anti-tissue transglutaminase (IgA anti-tTG) in predicting duodenal mucosal lesions diagnostic of CD in adult patients.
View Article and Find Full Text PDFComput Methods Biomech Biomed Engin
September 2025
Institute of Radio Physics and Electronics, University of Calcutta, Kolkata, India.
Parkinson's disease (PD) is a neurodegenerative condition that impairs motor functions. Accurate and early diagnosis is essential for enhancing well-being and ensuring effective treatment. This study proposes a deep learning-based approach for PD detection using EEG signals.
View Article and Find Full Text PDFFront Digit Health
August 2025
Department of Ophthalmology, Stanford University, Palo Alto, CA, United States.
Introduction: Vision language models (VLMs) combine image analysis capabilities with large language models (LLMs). Because of their multimodal capabilities, VLMs offer a clinical advantage over image classification models for the diagnosis of optic disc swelling by allowing a consideration of clinical context. In this study, we compare the performance of non-specialty-trained VLMs with different prompts in the classification of optic disc swelling on fundus photographs.
View Article and Find Full Text PDF