2019
DOI: 10.1111/1471-0528.15944
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Authors’ reply re: Effect of QUiPP prediction algorithm on treatment decisions in women with a previous preterm birth: a prospective cohort study

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“…For the A-STIPP cohort, the prevalence (0.18) was derived from the QUIPP study. [26][27][28] The standard level of variance (0.15) was used to calculate the sample size.…”
Section: Power Analysismentioning
confidence: 99%
“…For the A-STIPP cohort, the prevalence (0.18) was derived from the QUIPP study. [26][27][28] The standard level of variance (0.15) was used to calculate the sample size.…”
Section: Power Analysismentioning
confidence: 99%
“…Similarly, the QUiPP app v.2 algorithms developed and validated for the prediction of PTB in women with symptoms of threatened PTL demonstrated good accuracy, with AUCs of 0.96 for PTB < 30 weeks, 0.85 for PTB < 34 weeks, 0.77 for PTB < 37 weeks, 0.91 for PTB < 1 week from testing and 0.92 for PTB < 2 weeks from testing 183 . Of note, there has been some discussion about risk thresholds for spontaneous PTB to be used for individualized risk assessment/shared decision-making in women with a previous PTB and the applicability of the QUiPP app for small samples from tertiary centers [184][185][186] , which should stimulate further studies addressing this tool's performance. The 'Evaluation of the QUiPP app for Triage and Transfer' (EQUIPTT) multicenter cluster RCT studied the use of the QUiPP app to triage women with symptoms of PTL vs the unit's conventional management 187 .…”
Section: Recent Advances and New Perspectivesmentioning
confidence: 99%