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. 2019 May 23;2019(5):CD009613. doi: 10.1002/14651858.CD009613.pub4

Summary of findings 5. Automated telemedicine monitoring compared to conventional for women with pre‐existing diabetes.

Automated telemedicine monitoring compared to conventional for women with pre‐existing diabetes
Patient or population: women with pre‐existing diabetes
 Setting: 2 studies in antenatal diabetic clinics in Italy, 1 study in gastroenterology and metabolic diseases clinic in Poland
 Intervention: automated telemedicine monitoring
 Comparison: conventional monitoring
Outcomes Anticipated absolute effects* (95% CI) Relative effect
 (95% CI) № of participants
 (studies) Quality of the evidence
 (GRADE) Comments
Risk with conventional monitoring Risk with automated telemedicine monitoring
Hypertensive disorders of pregnancy (including pre‐eclampsia, pregnancy‐induced hypertension, eclampsia) Study population   (0 studies)   The included studies did not report this composite outcome.
   
Caesarean section Study population RR 0.96
 (0.62 to 1.48) 32
 (1 RCT) ⊕⊝⊝⊝
 VERY LOW 1 2  
733 per 1000 704 per 1000
 (455 to 1000)
Large‐for‐gestational age Study population   (0 studies)   The included studies did not report this outcome.
   
Perinatal mortality (stillbirth and neonatal mortality) Study population   (0 studies)   The included studies did not report this outcome.
   
*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
 
 CI: Confidence interval; RCT: randomised controlled trial; RR: Risk ratio
GRADE Working Group grades of evidenceHigh quality: We are very confident that the true effect lies close to that of the estimate of the effect
 Moderate quality: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
 Low quality: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect
 Very low quality: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect

1 We downgraded (2) levels for very serious design limitations due to high risk for randomisation, allocation concealment, attrition and other bias

2 We downgraded (2) levels for very serious imprecision due to wide CI crossing the line of no effect, few events and small sample size