Evidence map›Paper›PMID 29027084›Full record

SynthesisEuropean journal of epidemiology2017

Association of light-to-moderate alcohol drinking in pregnancy with preterm birth and birth weight: elucidating bias by pooling data from nine European cohorts.

Katrine Strandberg-Larsen, Gry Poulsen, Bodil Hammer Bech, Leda Chatzi, Sylvaine Cordier, Maria Teresa Grønning Dale, Marieta Fernandez, Tine Brink Henriksen, Vincent Wv Jaddoe, Manolis Kogevinas and 10 more

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in European journal of epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Pregnancy complications, substance abuse, and prenatal care predict birthweight in adolescent mothers.Archives of public health = Archives belges de sante publique · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
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

20 authors.

Katrine Strandberg-LarsenSection for Social Medicine, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, Postbox 2099, 1014, Copenhagen K, Denmark. ksla@sund.ku.dk.ORCID 0000-0001-7061-3767
Gry PoulsenSection for Social Medicine, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, Postbox 2099, 1014, Copenhagen K, Denmark.
Bodil Hammer BechDepartment of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark.
Leda ChatziDepartment of Social Medicine, Faculty of Medicine, University of Crete, Rethimno, Greece.
Sylvaine CordierNational Institute of Health and Medical Research (INSERM), U1085-IRSET, University of Rennes, Rennes, France.
Maria Teresa Grønning DaleNorwegian Institute of Public Health, Oslo, Norway.
Marieta FernandezUniversity of Granada, Granada, Spain.
Tine Brink HenriksenDepartment of Pediatrics, Perinatal Epidemiology Research Unit, Aarhus University Hospital, Aarhus, Denmark.
Vincent Wv JaddoeThe Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Manolis KogevinasISGlobal Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.
Claudia J KruithofThe Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Morten Søndergaard LindhardDepartment of Pediatrics, Perinatal Epidemiology Research Unit, Aarhus University Hospital, Aarhus, Denmark.
Per MagnusNorwegian Institute of Public Health, Oslo, Norway.
Ellen Aagaard NohrResearch Unit for Gynaecology and Obstetrics, Institute of Clinical Research, University of Southern Denmark, Odense M, Denmark.
Lorenzo RichiardiCancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO-Piemonte, Turin, Italy.
Clara L Rodriguez-BernalFISABIO-Universitat Jaume I-Universitat de València Joint Research Unit of Epidemiology and Environmental Health, València, Spain.
Florence RougetNational Institute of Health and Medical Research (INSERM), U1085-IRSET, University of Rennes, Rennes, France.
Franca RusconiUnit of Epidemiology, Meyer Children's University Hospital, Florence, Italy.
Martine VrijheidISGlobal Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.
Anne-Marie Nybo AndersenSection for Social Medicine, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, Postbox 2099, 1014, Copenhagen K, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Women who drink light-to-moderately during pregnancy have been observed to have lower risk of unfavourable pregnancy outcomes than abstainers. This has been suggested to be a result of bias. In a pooled sample, including 193 747 live-born singletons from nine European cohorts, we examined the associations between light-to-moderate drinking and preterm birth, birth weight, and small-for-gestational age in term born children (term SGA). To address potential sources of bias, we compared the associations from the total sample with a sub-sample restricted to first-time pregnant women who conceived within six months of trying, and examined whether the associations varied across calendar time. In the total sample, drinking up to around six drinks per week as compared to abstaining was associated with lower risk of preterm birth, whereas no significant associations were found for birth weight or term SGA. Drinking six or more drinks per week was associated with lower birth weight and higher risk of term SGA, but no increased risk of preterm birth. The analyses restricted to women without reproductive experience revealed similar results. Before 2000 approximately half of pregnant women drank alcohol. This decreased to 39% in 2000-2004, and 14% in 2005-2011. Before 2000, every additional drink was associated with reduced mean birth weight, whereas in 2005-2011, the mean birth weight increased with increasing intake. The period-specific associations between low-to-moderate drinking and birth weight, which also were observed for term SGA, are indicative of bias. It is impossible to distinguish if the bias is attributable to unmeasured confounding, which change over time or cohort heterogeneity.

Indexed as

Birth WeightInfant, Low Birth WeightAdultAlcohol DrinkingBiasCohort StudiesDose-Response Relationship, DrugEuropeFemaleHumansInfant, NewbornInfant, PrematureInfant, Small for Gestational AgeMalePopulation SurveillancePregnancyAlcoholBirth weightCohort studyConfoundingPreterm birthSmall for gestational age

Identifiers

What OpenQuestion holds

Textmetadata
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.