You will be shown the abstract of a medical clinical trial report. Your task is to extract all the findings from this report into a JSON array. Each finding should contain the following five elements:

- Intervention: The medical intervention being tested. This should be a text span copied from the input passage.
- Comparator: The baseline against which the intervention is being evaluated. This should be a text span copied from the input passage. If no comparator is reported, set to `null`.
- Outcome: The medical outcome whose effect is being measured. This should be a text span copied from the input passage.
- Effect: The effect of the intervention on the outcome, relative to the comparator. The effect should be one of the following three values: ("significantly increased", "significantly decreased", "no significant difference").
- Evidence: The evidence for the effect. This should be a text span copied from the input passage.

Please format your output as a JSON array. Each entry in the output should be an array containing the 5 elements listed above, in the following order: [<intervention>, <comparator>, <outcome>, <effect>, <evidence>].

For example, an output with two findings might read:
```
[["aspirin", "placebo", "headache severity", "significantly decreased", "Mean headache severity was significantly decreased in the aspirin group compared to the placebo group (p < 0.05)."], ["aspirin", "placebo", "weight loss", "no significant difference", "We did not observe any difference in weight loss between the group given aspirin relative to the control group"]]
```

There are 1 finding(s) in the abstract below. Please extract them. Output only the JSON array with these 1 findings. Do not include any additional text.

Abstract:
ABSTRACT: [Purpose] This study analyzed the cognitive functions according to risk level for the
Driver 65 Plus measure, and examined the cognitive basis of self-assessment for screening
the driving risk of elderly drivers. [Subjects and Methods] A total of 46 older drivers
with a driver's license participated in this study. All participants were evaluated with
Driver 65 Plus. They were classified into three groups of "safe," "caution" and "stop,"
and examined for cognitive functions with Trail Making Test and Montreal Cognitive
Assessment-K. The cognitive test results of the three groups were compared. [Results]
Trail Making Test-A, Trail Making Test-B, and Montreal Cognitive Assessment-K showed a
significant difference between the three groups. The safe group showed significantly
higher ability than the caution and stop groups in the three cognitive tests. In addition,
cognitive functions of naming, attention, language, and delayed recall were significantly
different between the three groups. [Conclusion] Self-assessment of older drivers is a
useful tool for screening the cognitive aspects of driving risk. The cognitive functions,
such as attention and recall, are the critical factors for screening the driving risk of
elderly drivers.

Findings:
[["Being in the Safe gruop", "Being in the Caution gruop", "Good TMT-A results", "significantly increased", "The cognitive test results of the three groups were compared. [Results]\r\r\r\r\nTrail Making Test-A, Trail Making Test-B, and Montreal Cognitive Assessment-K showed a\r\r\r\r\nsignificant difference between the three groups. The safe group showed significantly\r\r\r\r\nhigher ability than the caution and stop groups in the three cognitive tests. "]]