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 2 finding(s) in the abstract below. Please extract them. Output only the JSON array with these 2 findings. Do not include any additional text.

Abstract:
ABSTRACT.AIMS: To test the efficacy of (i) computer-generated tailored letters and (ii) practitioner-delivered brief advice for smoking cessation against an assessment-only condition; and to compare both interventions directly.

ABSTRACT.DESIGN: Quasi-randomized controlled trial.

ABSTRACT.SETTING: A total of 34 randomly selected general practices from a German region (participation rate 87%).

ABSTRACT.PARTICIPANTS: A total of 1499 consecutive patients aged 18–70 years with daily cigarette smoking (participation rate 80%).

ABSTRACT.INTERVENTIONS: The tailored letters intervention group received up to three individualized personal letters. Brief advice was delivered during routine consultation by the practitioner after an onsite training session. Both interventions were based on the Transtheoretical Model of behaviour change.

ABSTRACT.MEASUREMENTS: Self-reported point prevalence and prolonged abstinence at 6-, 12-, 18- and 24-month follow-ups.

ABSTRACT.FINDINGS: Among participants completing the last follow-up, 6-month prolonged abstinence was 18.3% in the tailored letters intervention group, 14.8% in the brief advice intervention group and 10.5% in the assessment-only control group. Assuming those lost to follow-up to be smokers, the rates were 10.2%, 9.7% and 6.7%, respectively. Analyses including all follow-ups confirmed statistically significant effects of both interventions compared to assessment only. Using complete case analysis, the tailored letters intervention was significantly more effective than brief advice for 24-hour [odds ratio (OR) = 1.4; P = 0.047] but not for 7-day point prevalence abstinence (OR = 1.4; P = 0.068) for prolonged abstinence, or for alternative assumptions about participants lost to follow-up.

ABSTRACT.CONCLUSIONS: The study demonstrated long-term efficacy of low-cost interventions for smoking cessation in general practice. The interventions are suitable to reach entire populations of general practices and smoking patients. Computer-generated letters are a promising option to overcome barriers to provide smoking cessation counselling routinely.

Findings:
[["Tailored letters", "Practitioner-delivered brief advice", "7-day point prevalence abstinence", "no significant difference", "the tailored letters intervention was significantly more effective than brief advice for 24-hour [odds ratio (OR) = 1.4; P = 0.047] but not for 7-day point prevalence abstinence (OR = 1.4; P = 0.068) for prolonged abstinence, or for alternative assumptions about participants lost to follow-up."], ["Tailored letters", "Practitioner-delivered brief advice", "24-hour point prevalence abstinence", "significantly increased", "the tailored letters intervention was significantly more effective than brief advice for 24-hour [odds ratio (OR) = 1.4; P = 0.047] but not for 7-day point prevalence abstinence (OR = 1.4; P = 0.068) for prolonged abstinence, or for alternative assumptions about participants lost to follow-up."]]