Meta-analysis of 90,000 pregnancies quantifies cervical length as predictor of spontaneous preterm birth in asymptomatic women
By
Kelly Hughes ,
If you only eat one bagel today, this is the bagel.
Summary
This individual participant data meta-analysis examines the prognostic value of mid-trimester cervical length for predicting spontaneous preterm birth in asymptomatic women with singleton pregnancies. Analyzing data from over 90,000 pregnancies across multiple studies, the research quantifies how cervical length measurements correlate with preterm birth risk and assesses additional factors that may modify this association. The study provides evidence-based insights for clinical risk assessment and management of preterm birth prevention.
Key quotes
· 3 pulledUsing data on >90,000 singleton pregnancies, Kelly Hughes and colleagues quantify the prognostic value of mid-trimester cervical length for spontaneous preterm birth in asymptomatic women with singleton pregnancy.
The study assesses other factors which may modify this association between cervical length and preterm birth risk.
This individual participant data meta-analysis provides evidence on the prognostic value of cervical length for spontaneous preterm birth.
You might also wanna read
Examining the Effectiveness and Risks of Full-Body MRI Scans for Cancer Detection
The article examines the growing trend of full-body MRI scans for preventive health screening, exploring both the potential benefits and sig

Objective vs. Subjective Sleep Traits: A Phenome-wide Analysis of Disease Associations in 88,461 Adults
The study investigates the associations between accelerometer-derived objective sleep traits and various diseases in 88,461 UK Biobank adult
Menstrual tracking app data is gold mine for advertisers that risks women safety
Longevity Is Now a Factor When Picking an Embryo for IVF
Critique of heritability estimates: How redefining the concept inflates life span heritability figures
This article critically examines the concept of heritability in human life span, arguing that the commonly cited figure of 50% heritability
Period tracking apps share intimate cycle data with Meta, investigation reveals
This article investigates how period tracking apps share sensitive reproductive health data with third parties like Meta (Facebook). The aut
