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期刊名:Journal of pediatric surgery

缩写:J PEDIATR SURG

ISSN:0022-3468

e-ISSN:1531-5037

IF/分区:2.5/Q1

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共收录本刊相关文章索引12651
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Wu Yurui,Cao Zhenhua,Chen Meng et al. Wu Yurui et al.
Objective: To investigate the clinical features, diagnosis, and treatment of Congenital Pulmonary Airway Malformation (CPAM) or Pulmonary Sequestration (PS) combined with ipsilateral Foregut Cyst (FC), and to analyze its ...
Guantong Li,Dingding Wang,Dayan Sun et al. Guantong Li et al.
Background: Early diagnosis is the most critical determinant of native liver survival in infants with biliary atresia (BA). Accurate differentiation of BA from other neonatal cholestatic disorders remains particularly cha...
Andrew J Murphy,Yan Chen,Danielle B Cameron et al. Andrew J Murphy et al.
Objective: Evaluate late effects in survivors of childhood pelvic sarcoma by disease origin (bony vs. soft-tissue) and local control modality (bone surgery, pelvic organ resection, radiotherapy). ...
Toru Futami,Yudai Goto,Miki Toma et al. Toru Futami et al.
Background: Objective criteria for predicting successful conservative management of pediatric non-perforated appendicitis (NPA) remain elusive. We examined whether ultrasonographic (US) grading can predict treatment outco...
Tamás Lukács,Ákos Kiss,Nikoletta Kosztopulosz et al. Tamás Lukács et al.
Background/purpose: Pectus excavatum (PE) is the most common chest wall deformity in youth. Although often considered cosmetic, studies report cardiopulmonary consequences (e.g., right-ventricular compression, conduction ...
Camille Duchesne,Arnaud Bonnard,Frederic Hameury et al. Camille Duchesne et al.
Aim: Long-gap esophageal atresia (LGEA) represents a surgical challenge. Despite the increasing use of thoracoscopy over the past decades, its application in LGEAs remains limited. This study aimed to evaluate the morbidi...
Craig D Newgard,Sean Babcock,Amber Lin et al. Craig D Newgard et al.
Objective: We used machine learning (ML) to develop firearm risk prediction models for injured children and adolescents admitted to U.S. trauma centers, including prediction of death after discharge among survivors of fir...