Evidence map›Paper›PMID 22083366›Full record

ArticleEuropean journal of epidemiology2011

Individually customised fetal weight charts derived from ultrasound measurements: the Generation R Study.

Romy Gaillard, Maria A J de Ridder, Bero O Verburg, Jacqueline C M Witteman, Johan P Mackenbach, Henriëtte A Moll, Albert Hofman, Eric A P Steegers, Vincent W V Jaddoe

Abstract read
In one paragraph

Article in European journal of epidemiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Fetal-placental blood flow and neurodevelopment in childhood: population-based neuroimaging study.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2021
    Article
  9. Caries experience among children born after a complicated pregnancy.Community dentistry and oral epidemiology · 2021
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. The Generation R Study: design and cohort update 2017.European journal of epidemiology · 2016
    Article
  15. Article
  16. The Rotterdam Study: 2014 objectives and design update.European journal of epidemiology · 2013
    Article
  17. The Generation R Study: design and cohort update 2012.European journal of epidemiology · 2012
    Article
  18. Fetal and infant origins of asthma.European journal of epidemiology · 2012
    Review
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Romy GaillardThe Generation R Study Group (AE006), Erasmus Medical Center, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands.
Maria A J de Ridder
Bero O Verburg
Jacqueline C M Witteman
Johan P Mackenbach
Henriëtte A Moll
Albert Hofman
Eric A P Steegers
Vincent W V Jaddoe

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maternal and fetal characteristics are important determinants of fetal growth potential, and should ideally be taken into consideration when evaluating fetal growth variation. We developed a model for individually customised growth charts for estimated fetal weight, which takes into account physiological maternal and fetal characteristics known at the start of pregnancy. We used fetal ultrasound data of 8,162 pregnant women participating in the Generation R Study, a prospective, population-based cohort study from early pregnancy onwards. A repeated measurements regression model was constructed, using backward selection procedures for identifying relevant maternal and fetal characteristics. The final model for estimating expected fetal weight included gestational age, fetal sex, parity, ethnicity, maternal age, height and weight. Using this model, we developed individually customised growth charts, and their corresponding standard deviations, for fetal weight from 18 weeks onwards. Of the total of 495 fetuses who were classified as small size for gestational age (<10th percentile) when fetal weight was evaluated using the normal population growth chart, 80 (16%) were in the normal range when individually customised growth charts were used. 550 fetuses were classified as small size for gestational age using individually customised growth charts, and 135 of them (25%) were classified as normal if the unadjusted reference chart was used. In conclusion, this is the first study using ultrasound measurements in a large population-based study to fit a model to construct individually customised growth charts, taking into account physiological maternal and fetal characteristics. These charts might be useful for use in epidemiological studies and in clinical practice.

Indexed as

Fetal DevelopmentFetal WeightGrowth ChartsUltrasonography, PrenatalAdultBody Weights and MeasuresFemaleGestational AgeHumansMaternal AgeParityPregnancyProspective StudiesRacial GroupsSex Factors

Identifiers

PMID22083366
PMCPMC3253277

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.