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: Efficacy of paclitaxel , carboplatin , and bevacizumab for cervical cancer : A protocol for systematic review and meta-analysis . Cervical cancer (CC) is a very common and malignant tumor in female population. Although a variety of single medications are reported to treat this condition, they all have limited efficacy. Previous studies have reported the combination of paclitaxel, carboplatin, and bevacizumab (PCB) can be used for the treatment of patients with CC effectively. However, no systematic review has explored its efficacy and safety. This study will address its efficacy and safety systematically and comprehensively. ### methods The following electronic databases will be retrieved from their inceptions to the January 1, 2020 to identify all potential associated studies: MEDLINE, EMBASE, Cochrane Library, Scopus, Web of Science, CINAHL, Google scholar, and Chinese Biomedical Literature Database. We will include randomized controlled trials (RCTs) of adult women (≥18 years) with CC globally. Eligible interventions will target any forms of PCB. The study methodological quality of all included studies will be appraised using Cochrane risk of bias tool. Statistical analysis will be undertaken using RevMan 5.3 software. In addition, we will perform a narrative synthesis to describe quality and content of the evidence. ### results This study will summarize recent evidence and provide quality evidence for the efficacy and safety of PCB on CC. ### conclusion The findings of this study will seek to identify the efficacy and safety of PCB and suggest future directions for research efforts targeting CC among this population. ### Systematic Review Registration INPLASY202040195.

sentence: Efficacy of paclitaxel , carboplatin , and bevacizumab for cervical cancer : A protocol for systematic review and meta-analysis .
[]