You will be shown a paragraph from a biomedical research article. Your task is to extract all drug combinations appearing in a specific sentence within in the paragraph. Each drug combination should be assigned to one of the following three categories:

- POS: Indicates a positive interaction between the drugs in the combination; for instance, drugs that have an additive or synergistic effect.
- NEG: Indicates a negative interaction between the drugs in the combination; for instance, combining these drugs might result in adverse side effects, or might reduce their efficacy.
- COMB: Indicates that the drugs are given in combination, but the type of interaction between the drugs cannot be determined based on the provided context.

Please format your answer as a json array. Each entry in the array should itself be an array formatted as [<drug_1>, <drug_2>, ..., <drug_n>, <category>] where <category> is one of the three categories listed above and <drug_1>, ..., <drug_n> are drug names copied verbatim from the input sentence. Different combinations may involve different numbers of drugs; in other words, the `n` in <drug_n> may vary.

As an example, the following output describes two extracted drug combinations; one between two drugs, and one between three drugs:

[["artesunate", "artemether", "COMB"], ["Nifedipine", "Labetalol", "Prazosin", "POS"]]

The paragraph and specific sentence are below. You should only extract relationships expressed in the specific sentence; the paragraph is provided for context.

In your output, return only the json array and no other text. If no drug combinations appear, return an empty array `[]`.

paragraph: Effect of nivolumab on health-related quality of life in patients with treatment-naïve advanced melanoma: results from the phase III CheckMate 066 study. nivolumab has shown significant survival benefit and a favorable safety profile compared with dacarbazine chemotherapy among treatment-naïve patients with metastatic melanoma in the CheckMate 066 phase III study. Results from the health-related quality of life (HRQoL) analyses from CheckMate 066 are presented. ### Patients And Methods HRQoL was evaluated at baseline and every 6 weeks while on treatment using the European Organisation for Research and Treatment of Care (EORTC) Core Quality of Life Questionnaire (QLQ-C30) and the EuroQoL Five Dimensions Questionnaire (EQ-5D). Via a multi-step statistical plan, data were analyzed descriptively, cross-sectionally, and longitudinally, adjusting for baseline covariates, in patients having baseline plus ≥1 post-baseline assessment. ### results Baseline-adjusted completion rates for all HRQoL questionnaires across treatment arms were 65% and 70% for dacarbazine and nivolumab, respectively, and remained similar throughout treatment. The mean baseline HRQoL scores were similar for patients treated with nivolumab and dacarbazine. Baseline HRQoL levels with nivolumab were maintained over time. This exploratory analysis showed a between-arm difference in favor of nivolumab on the EQ-5D utility index and clinically meaningful EQ-5D improvements from baseline at several time points for patients receiving nivolumab. Patients treated with nivolumab did not show increased symptom burden as assessed by the EORTC QLQ-C30. No HRQoL change was noted with dacarbazine patients up to week 43, although the high attrition rate after week 13 did not allow any meaningful analyses. Patients receiving nivolumab deteriorated significantly later than those receiving dacarbazine on several EORTC QLQ-C30 scales and the EQ-5D utility index. ### conclusions In addition to prolonged survival , these exploratory HRQoL results show that nivolumab maintains baseline HRQoL levels to provide long-term quality of survival benefit , compared with dacarbazine in patients with advanced melanoma .

sentence: In addition to prolonged survival , these exploratory HRQoL results show that nivolumab maintains baseline HRQoL levels to provide long-term quality of survival benefit , compared with dacarbazine in patients with advanced melanoma .
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