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:

Ocular hypotensive effect of the novel EP3 / FP agonist ONO-9054 versus Xalatan: results of a 28- day, double-masked, randomised study ONO-9054 is being developed for the reduction of intraocular pressure (IOP) in patients with ocular hypertension (OHT) and open-angle glaucoma (OAG). This study compared the novel dual EP3 / FP agonist ONO-9054 with the FP agonist Xalatan. Adults (n=123) with bilateral mild/moderate OAG or OHT, with unmedicated IOP of ≥24 mm Hg at 8:00 hours, ≥21 mm Hg at 10:00 hours and ≤36 mm Hg, were randomised 1:1 to receive ONO-9054 (0.003%, 30 μg/mL) or Xalatan (0.005%, 50 μg/mL) once daily for 28 days. Day 29 mean diurnal IOP was -7.2 mm Hg for ONO-9054 vs -6.6 mm Hg for Xalatan. At 08:00 hours, the IOPs were comparable, and at all later time points the decrease in IOP was greater for ONO-9054. On day 29, the odds of a mean IOP reduction of ≤-25%, ≤-30% and ≤-35% for ONO-9054 were 2.39, 2.37 and 4.85 times more, respectively, than the odds for Xalatan (p<0.05, post hoc analyses). The percentage of subjects achieving target IOPs on day 29 (≤17, ≤16 and ≤15 mm Hg) was greater for ONO-9054 than for Xalatan; the odds of achieving an IOP ≤15 mm Hg for ONO-9054 were 2.4 times more than the odds for Xalatan (p<0.01, post hoc analysis). Subjects randomised to receive ONO-9054 were more likely to achieve a greater per cent reduction in IOP and were more likely to achieve target IOPs than those receiving Xalatan. The effects of ONO-9054 in reducing IOP appear to persist longer than those of Xalatan. NCT02083289, Results.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["OAG", "IOPs", "Ocular hypotensive", "open-angle glaucoma", "IOP", "intraocular pressure", "ocular hypertension", "OHT"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": ["Xalatan", "FP", "ONO-9054", "agonist", "EP3"], "ClinicalAttribute": [], "Eukaryote": [], "Finding": [], "Food": [], "HealthCareActivity": [], "InjuryOrPoisoning": [], "IntellectualProduct": [], "MedicalDevice": [], "Organization": [], "PopulationGroup": [], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["double-masked", "study", "post hoc analyses", "post hoc analysis"], "SpatialConcept": [], "Virus": []}