Your goal is to extract structured information from the user's input that matches the form described below. When extracting information please make sure it matches the type information exactly. Do not add any attributes that do not appear in the schema shown below.

```TypeScript

 { // Information on the clinical trial characteristics from the abstract
 conditions: string // The condition or disease being treated in the clinical trial
 drug_or_intervention: string // The drug or intervention used in the clinical trial
}
```


Please output the extracted information in JSON format. Do not output anything except for the extracted information. Do not add any clarifying information. Do not add any fields that are not in the schema. If the text contains attributes that do not appear in the schema, please ignore them. All output must be in JSON format and follow the schema specified above. Wrap the JSON in <json> tags.



Input:Benefit of supplementary fat plus protein counting as compared with conventional carbohydrate counting for insulin bolus calculation in children with pump therapy.  To investigate carbohydrate (CARB) and supplementary fat/protein (CFP) counting using normal and dual-wave bolus in pump therapy of children and young people with type 1 diabetes (T1D). A randomized clinical trial was conducted in 42 patients (age 6-21 yr) with T1D for at least 1 yr (5.2 ± 3.1 yr, mean ± SD) and pump therapy for at least 3 months (3.3 ± 1.8 yr). Standardized test meals (pizza-salami; 50% carbohydrate, 34% fat, 16% protein; corresponding to 33% of age-adjusted daily energy requirement) were given at lunch time on four different days with normal and dual-wave bolus using CARB and CFP counting in a randomized sequence. Sensor-augmented pumps were used for continuous glucose monitoring of 6-h postprandial glucose profiles. Intra-individual comparisons of glucose parameters [area under the curve (AUC) mg/dL × 6 h; average glucose, AV mg/dL] were performed. Using CFP counting, 6-h postprandial glucose AUC (805 ± 261) and AV (137.8 ± 46.2) were significantly lower than AUC (926 ± 285) and AV (160.5 ± 51.9) by CARB counting (p < 0.001, each). CFP counting led to significantly lower postprandial glucose parameters independently from the kind of bolus (normal bolus: ΔAUC 169, p < 0.001; ΔAV 30.6, p < 0.001/dual-wave bolus: ΔAUC 73, p = 0.045, ΔAV 14.8, p = 0.033). Postprandial hypoglycemia episodes (<70 mg/dL) occurred more frequently in CFP than in CARB counting (35.7% vs. 9.5%, p < 0.001). No severe hypoglycemia was reported. In patients with long-term T1D, meal-related insulin dosing based on carbohydrate plus fat/protein counting reduces the postprandial glucose levels (ClinicalTrials.gov NCT01400659). Output:
{'conditions': 'Type 1 Diabetes Mellitus', 'interventions': 'Procedure: CFP algorithm'}