Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.

Ex Input:
Question: Does prospective international cohort study demonstrate inability of interim PET to predict treatment failure in diffuse large B-cell lymphoma?
Answer: This large international cohort delivers 3 novel findings: treatment response assessed by I-PET is comparable across disparate healthcare systems, secondly a negative I-PET findings together with good clinical status identifies a group with an EFS of 98%, and thirdly a single I-PET scan does not differentiate chemoresistant lymphoma from complete response and cannot be used to guide risk-adapted therapy.

Ex Output:
yes


Ex Input:
Question: Does successful AV fistula creation lead to higher catheter use : the experience by the Northwest Renal Network 16 Vascular Access Quality Improvement Program . Four years follow-up?
Answer: The success of Network 16's AVF interventions demonstrates the effectiveness of Network education promoting multidisciplinary teamwork, and innovative strategies to increase dramatically AVF use without substantial increase in catheter use.

Ex Output:
no


Ex Input:
Question: Does preoperative weight gain predict failure of weight loss or co-morbidity resolution of laparoscopic Roux-en-Y gastric bypass for morbid obesity?
Answer: The results of our study have shown that weight loss before laparoscopic Roux-en-Y gastric bypass is not mandatory and might deter patients from considering weight loss surgery. Laparoscopic Roux-en-Y gastric bypass can be performed safely with equivalent co-morbidity resolution and %EWL regardless of PWG or PWL.

Ex Output:

no