- Design
- retrospective cohort study at a tertiary referral centre with modified Poisson regression, clinicians unblinded to ultrasound findings
- Population
- 21,743 singleton pregnancies undergoing routine 35-37 week ultrasound; screen-positive defined as estimated fetal weight at or above the 90th centile
- Primary outcome
- diagnostic accuracy for large-for-gestational-age and macrosomia, mode of delivery, and composite adverse maternal and neonatal outcomes
- Effect
- sensitivity 34.9% (33.2-36.6) LGA and 35.6% (33.5-37.9) macrosomia; screen-positive intrapartum caesarean aRR 1.47 (1.30-1.67); false positive vs true negative maternal composite aRR 1.28 (1.11-1.48), neonatal aRR 1.35 (0.72-2.53)
This retrospective cohort followed 21,743 singleton pregnancies through routine 35-37 week ultrasound at a tertiary centre, with clinicians unblinded to the results — as they are in practice. Sensitivity for large-for-gestational-age was 34.9% (95% CI 33.2 to 36.6) and for macrosomia 35.6% (33.5 to 37.9); specificity was 97.4% and 95.6%. So the scan misses about two-thirds of large babies while rarely calling a normal-sized one large.
What happened next is the point. Screen-positive pregnancies were less likely to attempt labour (adjusted RR 0.87, 95% CI 0.84 to 0.90) and more likely to end in intrapartum caesarean (aRR 1.47, 95% CI 1.30 to 1.67), with more composite adverse maternal (aRR 1.43, 95% CI 1.32 to 1.55) and neonatal outcomes (aRR 2.37, 95% CI 1.85 to 3.05).
The comparisons that isolate the label from the baby are the ones that matter. False positives — normal-sized babies called large — had more operative vaginal delivery (aRR 1.29, 95% CI 1.07 to 1.57) and more maternal morbidity (aRR 1.28, 95% CI 1.11 to 1.48) than true negatives, with no difference in neonatal outcomes (aRR 1.35, 95% CI 0.72 to 2.53). False negatives — genuinely large babies not identified — had less induction and less caesarean than true positives, and no excess neonatal harm (aRR 0.77, 95% CI 0.56 to 1.06). Being labelled large caused intervention; not being labelled did not cost the baby anything measurable.
This is observational, from one tertiary centre, and confounding by indication cannot be excluded — but the false-positive and false-negative comparisons are specifically designed to test the label rather than the size, and they are hard to explain away. It supports moving from universal term growth scanning to a risk-based approach, and where a scan is done, treating a raised estimate as weak evidence rather than as a diagnosis.
- Question universal third-trimester growth scanning at term in low-risk women; consider a risk-based approach
- Where a scan is done, weight the estimate as poor evidence — it misses about two-thirds of large babies
- Do not let a screen-positive result by itself steer a woman away from attempting labour
- Audit your own unit's caesarean rate among screen-positive but normally grown babies
- This is observational from a single tertiary centre; the false-positive comparison, not the headline, is what carries it
The statistics, in plain English
Sensitivity of 34.9% means the test misses roughly two out of three large babies; the high specificity means it rarely mislabels a normal baby, but with large babies uncommon, a positive result is still frequently wrong. The neonatal composite in screen-positives (aRR 2.37) is not evidence of harm from screening, because those pregnancies genuinely include more large and complicated babies — that is why the false-positive comparison matters, and there the neonatal interval (0.72 to 2.53) shows no difference while the maternal one (1.11 to 1.48) does. Adjusted relative risks from a retrospective cohort where clinicians acted on the test cannot fully separate the label from the reasons it was assigned.
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