98%
921
2 minutes
20
Autoantibodies against tumour-associated antigens (TAA) are promising biomarkers for cancer diagnosis. This systematic review aims to evaluate the diagnostic values of tumour-associated autoantibodies (TAAbs) in patients with pancreatic cancer. A search was conducted in the PubMed, Web of Science, and Embase databases to collect eligible studies. The primary outcomes included sensitivity, specificity, and accuracy of the test. We used QUADAS-2 to evaluate the risk of bias in the included studies. Meta-analysis was performed using MetaDisc 1.4 and STATA 14.0 software to calculate the combined sensitivity and specificity. A total of 49 articles were included in the final analysis that reported over 100 different TAAbs that were studied for the detection of pancreatic cancer. p53, Ezrin, CLDN17, KCNN3, SLAMF7, SLC22A11 and OR51F2 were the most frequently investigated autoantibodies in these studies. Ezrin exhibited better diagnostic performance with the pooled sensitivity, specificity and summary area under the receiver operating characteristic (SROC) curves being 56%, 88% and 0.90, respectively. Moreover, certain autoantibody combinations achieved substantially higher sensitivity at reasonably high levels of specificity. For example, the combination of Ezrin and ENOA1.2 autoantibodies with CA19.9 yielded sensitivity, specificity and area under the SROC curve of 100%, 92% and 0.96, respectively. TAAb is a promising diagnostic biomarker for early detection of PC, especially when combining TAAb with other markers. The promising candidate markers identified in this review deserve further validation in a broad screening population.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1111/sji.70012 | DOI Listing |
JMIR Med Inform
September 2025
Departments of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, Guangdong, 510630, China, 86 18922109279, 86 20852523108.
Background: Despite the Coronary Artery Reporting and Data System (CAD-RADS) providing a standardized approach, radiologists continue to favor free-text reports. This preference creates significant challenges for data extraction and analysis in longitudinal studies, potentially limiting large-scale research and quality assessment initiatives.
Objective: To evaluate the ability of the generative pre-trained transformer (GPT)-4o model to convert real-world coronary computed tomography angiography (CCTA) free-text reports into structured data and automatically identify CAD-RADS categories and P categories.
JMIR Res Protoc
September 2025
Department of Urology, Faculty of Medicine, Universitas Indonesia - Cipto Mangunkusumo Hospital, Jakarta, Indonesia.
Background: Circumcision is a widely practiced procedure with cultural and medical significance. However, certain penile abnormalities-such as hypospadias or webbed penis-may contraindicate the procedure and require specialized care. In low-resource settings, limited access to pediatric urologists often leads to missed or delayed diagnoses.
View Article and Find Full Text PDFJ Cataract Refract Surg
July 2025
Department of Ophthalmology, West China Hospital of Sichuan University, Chengdu City, Sichuan Province, China.
Purpose: To develop and validate a multimodal deep-learning model for predicting postoperative vault height and selecting implantable collamer lens (ICL) sizes using Anterior Segment Optical Coherence Tomography (AS-OCT) and Ultrasound Biomicroscope (UBM) images combined with clinical features.
Setting: West China Hospital of Sichuan University, China.
Design: Deep-learning study.
JMIR AI
September 2025
Faculty of Medicine, Universidade Federal de Alagoas, Av. Lourival Melo Mota, S/n - Tabuleiro do Martins, Maceió, 57072-900, Brazil, 558232141461.
Background: Artificial intelligence (AI) has the potential to transform global health care, with extensive application in Brazil, particularly for diagnosis and screening.
Objective: This study aimed to conduct a systematic review to understand AI applications in Brazilian health care, especially focusing on the resource-constrained environments.
Methods: A systematic review was performed.
Pol Merkur Lekarski
September 2025
FACULTY OF NURSING, UNIVERSITY OF KUFA, KUFA, IRAQ.
Objective: Aim: To evaluate clinical applicability of immune mediator's interleukin-16, immunoglobulin E along with eosinophil count in diagnosing COVID-19 and determining its severity.
Patients And Methods: Materials and Methods: Cross-sectional case-control study was conducted at Al-Najaf General Hospital, Najaf, Iraq between March and August 2024. 120 participants: 60 confirmed COVID-19 cases and 60 healthy controls which matched cases in terms of age and sex.