Pseudoachalasia: a systematic review of the literature.
Dimitrios SchizasNikoletta A TheochariIoannis KatsarosKonstantinos S MylonasTania TriantafyllouAdamantios MichalinosDimitrios KamberoglouAndrianos TsekrekosIoannis RouvelasPublished in: Esophagus : official journal of the Japan Esophageal Society (2020)
Pseudoachalasia, also known as secondary achalasia, is a clinical condition mimicking idiopathic achalasia but most commonly caused by malignant tumors of gastroesophageal junction (GEJ). Our aim was to systematically review and present all available data on demographics, clinical features, and diagnostic modalities involved in patients with pseudoachalasia. A systematic search of literature published during the period 1978-2019 was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (end-of-search date: June 25th, 2019). Two independent reviewers extracted data with regards of study design, interventions, participants, and outcomes. Thirty-five studies met our inclusion criteria and were selected in the present review. Overall, 140 patients with pseudoachalasia were identified, of whom 83 were males. Mean patient age was 60.13 years and the mean weight loss was 13.91 kg. A total of 33 (23.6%) patients were wrongly 'treated' at first for achalasia. The most common presenting symptoms were dysphagia, food regurgitation, and weight loss. The median time from symptoms' onset to hospital admission was 5 months. Most common etiology was gastric cancer (19%). Diagnostic modalities included manometry, barium esophagram, endoscopy, and computed tomography (CT). Pseudoachalasia is a serious medical condition that is difficult to be distinguished from primary achalasia. Clinical feature assessment along with the correct interpretation of diagnostic tests is nowadays essential steps to differentiate pseudoachalasia from idiopathic achalasia.
Keyphrases
- meta analyses
- weight loss
- systematic review
- computed tomography
- end stage renal disease
- bariatric surgery
- newly diagnosed
- electronic health record
- healthcare
- chronic kidney disease
- randomized controlled trial
- ejection fraction
- roux en y gastric bypass
- case report
- big data
- positron emission tomography
- magnetic resonance imaging
- dual energy
- emergency department
- image quality
- type diabetes
- machine learning
- prognostic factors
- contrast enhanced
- heart failure
- glycemic control
- sleep quality
- gastric bypass
- aortic valve
- tyrosine kinase
- insulin resistance
- aortic stenosis
- body mass index
- artificial intelligence
- neural network
- clinical practice
- case control
- coronary artery disease