Aim: The study aimed to analyse the currently available national and international guidelines for areas of consensus and contrasting recommendations in the treatment of diverticulitis and thereby to design questions for future research.
Method: MEDLINE, EMBASE and PubMed were systematically searched for guidelines on diverticular disease and diverticulitis. Inclusion was confined to papers in English and those < 10 years old. The included topics were classified as consensus or controversy between guidelines, and the highest level of evidence was scored as sufficient (Oxford Centre of Evidence-Based Medicine Level of Evidence of 3a or higher) or insufficient.
Results: Six guidelines were included and all topics with recommendations were compared. Overall, in 13 topics consensus was reached and 10 topics were regarded as controversial. In five topics, consensus was reached without sufficient evidence and in three topics there was no evidence and no consensus. Clinical staging, the need for intraluminal imaging, dietary restriction, duration of antibiotic treatment, the protocol for abscess treatment, the need for elective surgery in subgroups of patients, the need for surgery after abscess treatment and the level of the proximal resection margin all lack consensus or evidence.
Conclusion: Evidence on the diagnosis and treatment of diverticular disease and diverticulitis ranged from nonexistent to strong, regardless of consensus. The most relevant research questions were identified and proposed as topics for future research.
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http://dx.doi.org/10.1111/codi.12659 | DOI Listing |
Medicine (Baltimore)
January 2025
Department of Gastroenterology, The Affiliated People's Hospital of Ningbo University, Ningbo, China.
Rationale: Gastric antral vascular ectasia (GAVE) is a rare acquired lesion characterized by vascular dilation in the gastric antrum, frequently results in occult or overt gastrointestinal bleeding. Endoscopic intervention remains the cornerstone of therapy. Argon plasma coagulation was previously considered a first treatment option.
View Article and Find Full Text PDFMedicine (Baltimore)
January 2025
Department of Otolaryngology, Hangzhou Red Cross Hospital (Zhejiang Hospital of Integrated Traditional Chinese and Western Medicine), Hangzhou, Zhejiang, China.
T-helper 17 (Th17) cells significantly influence the onset and advancement of malignancies. This study endeavor focused on delineating molecular classifications and developing a prognostic signature grounded in Th17 cell differentiation-related genes (TCDRGs) using machine learning algorithms in head and neck squamous cell carcinoma (HNSCC). A consensus clustering approach was applied to The Cancer Genome Atlas-HNSCC cohort based on TCDRGs, followed by an examination of differential gene expression using the limma package.
View Article and Find Full Text PDFKidney360
January 2025
University of Manitoba, Winnipeg, MB, Canada.
Background: Cognition is a research priority for people living with chronic kidney disease (CKD), but identification of critical research questions is lacking. This study aimed to determine which cognition-related research questions are most important to CKD stakeholders.
Methods: A modified Delphi technique with 3 survey rounds was used.
Sci Adv
January 2025
Institute of Zoology, University of Cologne, Cologne, Germany.
Some unique asexual species persist over time and contradict the consensus that sex is a prerequisite for long-term evolutionary survival. How they escape the dead-end fate remains enigmatic. Here, we generated a haplotype-resolved genome assembly on the basis of a single individual and collected genomic data from worldwide populations of the parthenogenetic diploid oribatid mite to identify signatures of persistence without sex.
View Article and Find Full Text PDFPLoS One
January 2025
Robotics and Internet-of-Things Laboratory, Prince Sultan University, Riyadh, Saudi Arabia.
The performance of drones, especially for time-sensitive tasks, is critical in various applications. Fog nodes strategically placed near IoT devices serve as computational resources for drones, ensuring quick service responses for deadline-driven tasks. However, the limited battery capacity of drones poses a challenge, necessitating energy-efficient Internet of Drones (IoD) systems.
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