You will be shown inclusion or exclusion criteria for a clinical trial. Given these criteria, your task is to extract all unique entities of the following types: ["Observation", "Condition", "Procedure", "Drug", "Temporal", "Multiplier", "Qualifier", "Negation", "ReferencePoint", "Scope", "Value", "Mood", "Device", "Visit", "Measurement", "Person"].

Please return the output as a JSON object of the format: {"Condition" : ["breast cancer", ...], "Device" : ["ports", ...], "Drug" : ["Atenolol", ...], "Measurement" : ["blood pressure", ...], "Mood" : ["suspected", ...], "Multiplier" : ["more than two", ...], "Negation" : ["no", ...], "Observation" : ["history", ...], "Person" : ["male", ...], "Procedure" : ["surgery", ...], "Qualifier" : ["severe", ...], "ReferencePoint" : ["enrollment", ...], "Scope" : ["infection", ...], "Temporal" : ["one day", ...], "Value" : ["50%", ...], "Visit" : ["ICU", ...]}. 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:

>18 to < 90 years old
Both sexes
Mild to moderate tear film dysfunction clinical diagnose
TBUT > 5 sec. and < 10 sec.
Schirmer: > 4 mm and < 14 mm
OSDI < 30 points
Corneal staining < grade III on the Oxford scale
Availability to go to each revision when indicated.
{"Condition": ["Corneal staining", "tear film dysfunction"], "Device": [], "Drug": [], "Measurement": ["TBUT", "OSDI", "Schirmer"], "Mood": [], "Multiplier": [], "Negation": [], "Observation": [], "Person": ["Both sexes", "old"], "Procedure": [], "Qualifier": ["Oxford scale", "Mild", "moderate", "\u003c grade III"], "ReferencePoint": [], "Scope": ["Mild to moderate"], "Temporal": [], "Value": ["\u003e18 to \u003c 90 years", "\u003e 4 mm and \u003c 14 mm", "\u003e 5 sec. and \u003c 10 sec", "\u003c 30 points"], "Visit": []}