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Eclinicalmedicine

EClinicalMedicine is a peer-reviewed open-access journal that publishes high-quality research and clinical studies in all areas of medicine. It aims to provide a platform for disseminating innovative research, promoting evidence-based practice, and advancing healthcare globally. With a focus on digital health, telemedicine, and personalized medicine, the journal strives to bridge the gap between research and clinical practice, fostering collaboration and improving patient outcomes.
Details
Abbr. EClinicalMedicine
Start 2018
End Continuing
e-ISSN 2589-5370
Country United Kingdom
Language English
Specialty General Medicine
Metrics
h-index / Ranks: 4372 80
SJR / Ranks: 455 3522
CiteScore / Ranks: 540 16.00
Recent Articles
21.
Development and validation of an ultrasound-based interpretable machine learning model for the classification of ≤3 cm hepatocellular carcinoma: a multicentre retrospective diagnostic study
Du Z, Fan F, Ma J, Liu J, Yan X, Chen X, et al.
EClinicalMedicine . 2025 Mar; 81:103098. PMID: 40034568
Background: Our study aimed to develop a machine learning (ML) model utilizing grayscale ultrasound (US) to distinguish ≤3 cm small hepatocellular carcinoma (sHCC) from non-HCC lesions. Methods: A total of...
22.
Measuring the WHO Global Breast Cancer Initiative Pillars' key performance indicators in Sub-Saharan Africa: experience in the African Breast Cancer-Disparities in Outcomes hospital-based cohort study
Boucheron P, Zietsman A, Anele A, Offiah A, Galukande M, Parham G, et al.
EClinicalMedicine . 2025 Mar; 81:103104. PMID: 40034567
Background: The World Health Organization Global Breast Cancer Initiative aims to reduce breast cancer (BC) mortality through three pillars, whose key performance indicators (KPIs) and benchmarks are: (KPI-1) ≥60% BC...
23.
Investigating the presence and detectability of structural peripheral arterial changes in children with well-regulated type 1 diabetes versus healthy controls using ultra-high frequency ultrasound: a single-centre cross-sectional and case-control...
Bergdahl E, Forsander G, Sundberg F, Milkovic L, Dangardt F
EClinicalMedicine . 2025 Mar; 81:103097. PMID: 40034566
Background: Children with type 1 diabetes have an increased risk of macrovascular complications. This study used ultra-high frequency ultrasound (UHFUS), enabling differentiation of intima thickness (IT), and media thickness (MT)...
24.
Adjuvant endocrine treatment strategies for non-metastatic breast cancer: a network meta-analysis
Papakonstantinou A, Villacampa G, Navarro V, Oliveira M, Valachis A, Pascual T, et al.
EClinicalMedicine . 2025 Mar; 81:103116. PMID: 40034565
Background: Multiple trials have evaluated escalation strategies of endocrine therapy for early breast cancer, including ovarian function suppression (OFS) and aromatase inhibitors (AI) in premenopausal patients and extended endocrine therapy....
25.
Multicenter validation of a machine learning model to predict intensive care unit readmission within 48 hours after discharge
Lim L, Kim M, Cho K, Yoo D, Sim D, Ryu H, et al.
EClinicalMedicine . 2025 Mar; 81:103112. PMID: 40034564
Background: Intensive care unit (ICU) readmission is a crucial indicator of patient safety. However, discharge decisions often rely on subjective assessment due to a lack of standardized guidelines. We aimed...
26.
Quantitative vascular feature-based multimodality prediction model for multi-origin malignant cervical lymphadenopathy
Li C, Li R, Ou J, Li F, Deng T, Yan C, et al.
EClinicalMedicine . 2025 Mar; 81:103085. PMID: 40026834
Background: The precise prediction of multi-origin malignant cervical lymphadenopathy is limited by the low inter-reader reproducibility of imaging interpretation, and a quantitative method to improve this aspect is lacking. This...
27.
Weight gain among children under five with severe malnutrition in therapeutic feeding programmes: a systematic review and meta-analysis
ODonovan G, Allen D, Nkosi-Gondwe T, Anujuo K, Abera M, Kirolos A, et al.
EClinicalMedicine . 2025 Mar; 81:103083. PMID: 40026833
Background: Globally, some 45 million children under five years of age are wasted (low weight-for-height). Although 2023 World Health Organisation guidelines on their care did not aim to identify optimal...
28.
Real-time artificial intelligence-assisted detection and segmentation of nasopharyngeal carcinoma using multimodal endoscopic data: a multi-center, prospective study
He R, Jie P, Hou W, Long Y, Zhou G, Wu S, et al.
EClinicalMedicine . 2025 Mar; 81:103120. PMID: 40026832
Background: Nasopharyngeal carcinoma (NPC) is a common malignancy in southern China, and often underdiagnosed due to reliance on physician expertise. Artificial intelligence (AI) can enhance diagnostic accuracy and efficiency using...
29.
The prognostic value of peritoneal metastases in patients with gastric cancer: a nationwide population-based study
Guchelaar N, de Neijs M, Noordman B, Graaf H, van Hellemond I, van der Sluis P, et al.
EClinicalMedicine . 2025 Mar; 81:103109. PMID: 40026831
Background: The peritoneum is a common metastatic site in gastric cancer. The prognosis of synchronous peritoneal metastases compared to other metastatic sites in gastric cancer remains understudied. This study aims...
30.
Cerebral blood flow and cognitive functioning in patients undergoing transcatheter aortic valve implantation
van Nieuwkerk A, Hemelrijk K, Aarts H, Leeuwis A, Majoie C, Daemen M, et al.
EClinicalMedicine . 2025 Mar; 81:103092. PMID: 40026830
Background: Approximately one-third of patients with symptomatic severe aortic valve stenosis scheduled for transcatheter aortic valve implantation (TAVI) have some degree of cognitive impairment. The effect of TAVI on cardiac...