Evidence map›Paper›PMID 29983833›Full record

ArticleClinical epigenetics2018

Epigenetic gestational age acceleration: a prospective cohort study investigating associations with familial, sociodemographic and birth characteristics.

Jasmine N Khouja, Andrew J Simpkin, Linda M O'Keeffe, Kaitlin H Wade, Lotte C Houtepen, Caroline L Relton, Matthew Suderman, Laura D Howe

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
14.9field-weighted citation impact, top 1% of its field
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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 76 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors at 1 institution in 1 country.

Jasmine N Khouja1MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, England.ORCID 0000-0002-7944-2981
Andrew J Simpkin1MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, England.
Linda M O'Keeffe1MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, England.
Kaitlin H Wade1MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, England.
Lotte C Houtepen1MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, England.
Caroline L Relton1MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, England.
Matthew Suderman1MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, England.
Laura D Howe1MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, England.
University of Bristol · GB

Funding

Biotechnology and Biological Sciences Research Council BB/I025263/1Biotechnology and Biological Sciences Research Council BBI025751/1Medical Research Council MC_UU_00011/7Medical Research Council MC_UU_12013/2Medical Research Council MC_UU_12013/3Medical Research Council MC_UU_12013/4Medical Research Council MC_UU_12013/6Medical Research Council MC_UU_12013/8Medical Research Council MC_UU_12013/9Medical Research Council MR/M020894/1Wellcome TrustWellcome Trust 102215/2/13/2
6 · The paper itself

Abstract

Background: Gestational age at delivery is associated with health and social outcomes. Recently, cord blood DNA methylation data has been used to predict gestational age. The discrepancy between gestational age predicted from DNA methylation and determined by ultrasound or last menstrual period is known as gestational age acceleration. This study investigated associations of sex, socioeconomic status, parental behaviours and characteristics and birth outcomes with gestational age acceleration. Results: Using data from the Avon Longitudinal Study of Parents and Children ( Conclusions: The associations of higher maternal body mass index and larger birth size with greater gestational age acceleration may imply that maternal overweight and obesity is associated with more rapid development of the fetus in utero. The implications of gestational age acceleration for postnatal health warrant further investigation.

Indexed as

Birth WeightBody Mass IndexDNA MethylationEpigenesis, GeneticGestational AgeAdultCesarean SectionFemaleHumansInfant, NewbornLongitudinal StudiesMaleObesityPregnancySocial ClassAge accelerationALSPACARIESDNA methylationEpigeneticsGestational

Identifiers

PMID29983833
PMCPMC6020346
OpenAlexW2810893199

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.