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 4 finding(s) in the abstract below. Please extract them. Output only the JSON array with these 4 findings. Do not include any additional text.

Abstract:
ABSTRACT.AIMS: To compare overnight closed‐loop and sensor‐augmented pump therapy in patients with type 1 diabetes by combining data collected during free‐living unsupervised randomized crossover home studies.

ABSTRACT.METHODS: A total of 40 participants with type 1 diabetes, of whom 24 were adults [mean ± standard deviation (s.d.) age 43 ± 12 years and glycated haemoglobin (HbA1c) 8.0 ± 0.9%] and 16 were adolescents (mean ± s.d. age 15.6 ± 3.6 years and HbA1c 8.1 ± 0.8%), underwent two periods of sensor‐augmented pump therapy in the home setting, in combination with or without an overnight closed‐loop insulin delivery system that uses a model predictive control algorithm to direct insulin delivery. The order of the two interventions was random; each period lasted 4 weeks in adults and 3 weeks in adolescents. The primary outcome was time during which sensor glucose readings were in the target range of 3.9–8.0 mmol/l.

ABSTRACT.RESULTS: The proportion of time when sensor glucose was in the target range (3.9–8.0 mmol/l) overnight (between 24:00 and 08:00 hours) was 18.5% greater during closed‐loop insulin delivery than during sensor‐augmented therapy (p < 0.001). Closed‐loop therapy significantly reduced mean overnight glucose levels by 0.9 mmol/l (p < 0.001), with no difference in glycaemic variability, as measured by the standard deviation of sensor glucose. Time spent above the target range was reduced (p = 0.001), as was time spent in hypoglycaemia (<3.9 mmol/l; p = 0.014) during closed‐loop therapy. Lower mean overnight glucose levels during closed‐loop therapy were brought about by increased overnight insulin delivery (p < 0.001) without changes to the total daily delivery (p = 0.84).

ABSTRACT.CONCLUSION: Overnight closed‐loop insulin therapy at home in adults and adolescents with type 1 diabetes is feasible, showing improvements in glucose control and reducing the risk of nocturnal hypoglycaemia.

Findings:
[["Closed\u2010loop insulin", "Control", "Time at target range", "significantly increased", "The proportion of time when sensor glucose was in the target range (3.9\u20138.0 mmol/l) overnight (between 24:00 and 08:00 hours) was 18.5% greater during closed\u2010loop insulin delivery than during sensor\u2010augmented therapy (p \u003c 0.001)."], ["Closed\u2010loop insulin", "Control", "Mean overnight sensor glucose", "significantly decreased", "Closed\u2010loop therapy significantly reduced mean overnight glucose levels by 0.9 mmol/l (p \u003c 0.001), with no difference in glycaemic variability, as measured by the standard deviation of sensor glucose."], ["Closed\u2010loop insulin", "Control", "Sensor hypoglycaemia ", "significantly decreased", "Closed\u2010loop therapy significantly reduced mean overnight glucose levels by 0.9 mmol/l (p \u003c 0.001), with no difference in glycaemic variability, as measured by the standard deviation of sensor glucose."], ["Closed\u2010loop insulin", "Control", "Overnight insulin delivered ", "significantly increased", "Lower mean overnight glucose levels during closed\u2010loop therapy were brought about by increased overnight insulin delivery (p \u003c 0.001) without changes to the total daily delivery (p = 0.84)."]]