Risk factors of delayed diagnosis of acute appendicitis in children: for early detection of acute appendicitis-Reference-Cited by-同舟云学术

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Risk factors of delayed diagnosis of acute appendicitis in children: for early detection of acute appendicitis

Published:2016 Issue:9 Volume:59 Page:368
ISSN:1738-1061
Container-title:Korean Journal of Pediatrics
language:en
Short-container-title:Korean J Pediatr

Author:

Choi Jea Yeon¹,Ryoo Eell²,Jo Jeong Hyun²,Hann Tchah²,Kim Seong Min³

Affiliation:

1. Department of Emergency Medicine, Gachon University Gil Medical Center, Incheon, Korea.

2. Department of Pediatrics, Gachon University Gil Medical Center, Incheon, Korea.

3. Department of General Surgery, Gachon University Gil Medical Center, Incheon, Korea.

Publisher

Korean Pediatric Society

Subject

Pediatrics,Pediatrics, Perinatology, and Child Health

Link

http://synapse.koreamed.org/pdf/10.3345/kjp.2016.59.9.368

Reference21 articles.

1. Alvarado, Eskelinen, Ohhmann and Raja Isteri Pengiran Anak Saleha Appendicitis scores for diagnosis of acute appendicitis

2. Acute appendicitis in children: Emergency department diagnosis and management

3. Clinical features of misdiagnosed appendicitis in children

4. The treatment of complicated appendicitis in children using peritoneal drainage: Results from a public hospital

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Trends and levels of the global, regional, and national burden of appendicitis between 1990 and 2021: findings from the Global Burden of Disease Study 2021;The Lancet Gastroenterology & Hepatology;2024-09

2. Laparoscopic treatment of appendiceal peritonitis without drainage in children—A prospective randomized clinical trial;Journal of Pediatric Surgery Open;2023-10

3. Predicting Complicated Appendicitis in Children: Pros and Cons of a New Score Combining Clinical Signs, Laboratory Values, and Ultrasound Images (CLU Score);Diagnostics;2023-07-05

4. Acute appendicitis in infants;Journal of Pediatric Surgery Case Reports;2023-01

5. A clinically-guided unsupervised clustering approach to recommend symptoms of disease associated with diagnostic opportunities;Diagnosis;2022-09-21

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