You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["HealthCareActivity", "InjuryOrPoisoning", "BodySubstance", "IntellectualProduct", "AnatomicalStructure", "SpatialConcept", "Chemical", "Bacterium", "MedicalDevice", "Organization", "BiomedicalOccupationOrDiscipline", "Finding", "BiologicFunction", "Virus", "ResearchActivity", "ClinicalAttribute", "PopulationGroup", "Eukaryote", "BodySystem", "Food", "ProfessionalOrOccupationalGroup"].

Please return the output as a JSON object of the format: {"Virus": ["HIV", ...], "Bacterium": ["MRSA", ...], "AnatomicalStructure": ["Lung", ...], "BodySystem": ["CNS", ...], "BodySubstance": ["Serum", ...], "Finding": ["Headache", ...], "InjuryOrPoisoning": ["Fracture", ...], "BiologicFunction": ["Death", ...], "HealthCareActivity": ["Biopsy", ...], "ResearchActivity": ["Clinical trial", ...], "MedicalDevice": ["Lenses", ...], "SpatialConcept": ["Camps", ...], "BiomedicalOccupationOrDiscipline": ["Forensic medicine", ...], "Organization": ["WHO", ...], "ProfessionalOrOccupationalGroup": ["Provider", ...], "PopulationGroup": ["Swimmers", ...], "Chemical": ["Gold", ...], "Food": ["Rice", ...], "IntellectualProduct": ["RPAM", ...], "ClinicalAttribute": ["Biomarker", ...], "Eukaryote": ["Dogs", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

A standardized approach for the assessment and treatment of internationally adopted children with a previously repaired anorectal malformation (ARM) A significant number of internationally adopted children have congenital birth defects. As a specialist center for colorectal diagnoses, we evaluate such children with an anorectal malformation (ARM) and have found that a significant number need a reoperation. Knowledge of the common complications following ARM surgery has led us to develop treatment algorithms for patients with unknown past medical and surgical history, a situation typically encountered in the adopted population. The results of investigations, indications, and rate of reoperation were assessed for adopted children with an ARM evaluated between 2014 and 2016. 56 patients (28 males) were identified. 76.8% required reoperative surgery. Mislocation of the anus outside the sphincter complex was seen in 50% of males and 39.3% of females. Anal stricture, rectal prolapse, retained vaginal septum, and a strictured vaginal introitus were also common. The reoperative surgery rate in the internationally adopted child with an ARM is high. Complete, systematic evaluation of these children is required to identify complications following initial repair. Development of mechanisms to improve the primary surgical care these children receive is needed.
{"AnatomicalStructure": ["vaginal septum", "ARM", "congenital birth defects", "Anal stricture", "sphincter", "anus", "anorectal malformation"], "Bacterium": [], "BiologicFunction": ["rectal prolapse", "complications", "strictured"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": [], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["past medical", "adopted"], "Food": [], "HealthCareActivity": ["investigations", "repair", "reoperation", "assessment", "surgery", "reoperative surgery", "diagnoses", "treatment", "surgical care"], "InjuryOrPoisoning": [], "IntellectualProduct": ["algorithms"], "MedicalDevice": [], "Organization": [], "PopulationGroup": ["population"], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": [], "SpatialConcept": ["colorectal", "outside", "vaginal introitus"], "Virus": []}