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.

Example Input: Question: Is a high body mass index in esophageal cancer patients associated with adverse outcomes following esophagectomy?
Answer: A high BMI is not associated with increased overall morbidity following esophagectomy; moreover, it is associated with decreased incidence of chylothorax. The better overall survival in patients with high BMI compared with those with low BMI might be due to a relatively low pathological stage. A high BMI should therefore not be a relative contraindication for esophagectomy.
Example Output: no

Example Input: Question: Does obesity independently influence gonadal function in very long-term adult male survivors of childhood cancer?
Answer: Obesity is associated with gonadal dysfunction in male CCS, independent of the irreversible effect of previous cancer treatment. Randomized controlled trials are required to evaluate whether weight normalization could improve gonadal function, especially in obese survivors with potential other mechanisms than lifestyle causing their obesity.
Example Output: yes

Example Input: Question: Does the polymorphous light eruption-severity assessment score reliably predict the results of phototesting?
Answer: We showed that in PLE, disease severity as determined using the PLE-SAS or adjusted PLE-SAS did not reliably predict severity as assessed by phototesting. Two significant contributing questions were not discriminating enough to be used as predicting questions to assess severity. Accurate patient history proved to be a reliable method to diagnose PLE. Phototesting is useful to determine the responsible ultraviolet action spectrum and to exclude differential diagnoses like photosensitive eczema, lupus erythematosus or chronic actinic dermatitis. PLE-SAS cannot replace phototesting for determining the severity of PLE.
Example Output:
no