Evidence map›Paper›PMID 30940928›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2019

Large-for-gestational-age fetuses have an increased risk for spontaneous preterm birth.

Maud D van Zijl, Martijn A Oudijk, Anita C J Ravelli, Ben W J Mol, Eva Pajkrt, Brenda M Kazemier

Abstract read
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In one paragraph

Article in Journal of perinatology : official journal of the California Perinatal Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Maud D van ZijlDepartment of Obstetrics and Gynecology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands. m.d.vanzijl@amsterdamumc.nl.ORCID http://orcid.org/0000-0003-2317-5834
Martijn A OudijkDepartment of Obstetrics and Gynecology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Anita C J RavelliDepartment of Obstetrics and Gynecology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Ben W J MolDepartment of Obstetrics and Gynecology, School of Medicine, Monash University, Melbourne, VIC, Australia.
Eva PajkrtDepartment of Obstetrics and Gynecology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Brenda M KazemierDepartment of Obstetrics and Gynecology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOur aim was to investigate the association between large-for-gestational-age and the risk of spontaneous preterm birth. STUDY

designWe studied nulliparous women with a singleton gestation using data from the Dutch perinatal registry from 1999 to 2010. Neonates were categorized according to the Hadlock fetal weight standard, into 10th to 90th percentile, 90th to 97th percentile, or above 97th percentile. Outcomes were preterm birth <37

resultsWe included 547,418 women. The number of spontaneous preterm births <37 weeks was significantly increased in the large-for-gestational-age group ( > p97) compared with fetuses with a normal growth (p10-p90) (11.3% vs. 7.3%, odds ratio (OR) 1.8; 95% CI 1.7-1.9). The same results were found when limiting analyses to women with certain pregnancy duration (after in vitro fertilization).

conclusionLarge-for-gestational-age increases the risk of spontaneous preterm delivery from 25 weeks of gestation onwards.

Indexed as

Fetal MacrosomiaPremature BirthAdultBirth WeightFemaleFetal WeightGestational AgeHumansInfant, NewbornOdds RatioPregnancyRegistriesRisk

Identifiers

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Textmetadata
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Registered trials

None linked

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.