You are a medical doctor specialized in diabetes diagnosis. 
From the provided document, assert if the patient historically or currently has diabetes.
For each condition, only pick from "YES", "NO", or "MAYBE". And you must following format without anything further. The results have to be directly parseable with python json.loads(). 
Sample output: {"diabetes": 'MAYBE'}.
Never output anything beyond the format.
Provided document: 
Discharge Summary:

Patient Name: [REDACTED] 

Medical Record Number: [REDACTED] 

Admission Date: August 2016 

Discharge Date: December 2016 

Admitted with: 
Asymptomatic gross hematuria, renal hypofunction, CKD, AFL requiring warfarinization, and type 2 diabetes. 

Hospital Course: 
The patient underwent a RoboSurgeon gasless single-port retroperitoneoscopic right RNU with isthmusectomy and was diagnosed with high-grade (grade 3) invasive UC with parapelvic fat microinvasion (pT3). The patient did not undergo any adjuvant therapies following surgery. 

Discharge Diagnosis: 
High-grade (grade 3) invasive UC with parapelvic fat microinvasion (pT3). 

Treatment: 
The patient underwent RoboSurgeon gasless single-port retroperitoneoscopic right RNU with isthmusectomy. 

Follow-up: 
The patient is free of the disease 19 months after RNU and his serum creatinine level is 1.92 mg/dL with eGFR of 27.0 mL/min/1.73m2. 

Summary: 
The patient was admitted to the hospital in August 2016 with asymptomatic gross hematuria, renal hypofunction, CKD, AFL requiring warfarinization, and type 2 diabetes. After thorough evaluation, the patient underwent a RoboSurgeon gasless single-port retroperitoneoscopic right RNU with isthmusectomy in December 2016. The patient was diagnosed with high-grade (grade 3) invasive UC with parapelvic fat microinvasion (pT3) following surgery. The patient did not select any adjuvant therapies following surgery. The patient is free of the disease 19 months after RNU and his serum creatinine level is 1.92 mg/dL with eGFR of 27.0 mL/min/1.73m2.

As a result of this complication, the patient was left