Evidence map›Paper›PMID 25260961›Full record

ReviewEarly human development2014

Approaches for drawing causal inferences from epidemiological birth cohorts: a review.

Rebecca C Richmond, Aleef Al-Amin, George Davey Smith, Caroline L Relton

Abstract readReview
In one paragraph

Review in Early human development, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 9 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

79 citing papers in PubMed, 9 syntheses or guidelines pooled it.

  1. Pooled it
  2. Research Review: Developmental origins of depression - a systematic review and meta-analysis.Journal of child psychology and psychiatry, and allied disciplines · 2021
    Pooled it
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  5. Maternal obesity in pregnancy impacts offspring cardiometabolic health: Systematic review and meta-analysis of animal studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2019
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19 more citing papers are in PubMed but not listed here.

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

4 authors.

Rebecca C RichmondIntegrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, UK. Electronic address: rebecca.richmond@bristol.ac.uk.
Aleef Al-AminUniversity of Bristol Medical School, University of Bristol, Bristol, UK. Electronic address: aleefalamin@gmail.com.
George Davey SmithIntegrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, UK. Electronic address: kz.davey-smith@bristol.ac.uk.
Caroline L ReltonIntegrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, UK; Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK. Electronic address: caroline.relton@bristol.ac.uk.

Funding

Medical Research Council G0600705Medical Research Council MC_UU_12013Medical Research Council MC_UU_12013/1Medical Research Council MC_UU_12013/2Medical Research Council MC_UU_12013/3Wellcome Trust 097097Wellcome Trust WT083431MF
6 · The paper itself

Abstract

Large-scale population-based birth cohorts, which recruit women during pregnancy or at birth and follow up their offspring through infancy and into childhood and adolescence, provide the opportunity to monitor and model early life exposures in relation to developmental characteristics and later life outcomes. However, due to confounding and other limitations, identification of causal risk factors has proved challenging and published findings are often not reproducible. A suite of methods has been developed in recent years to minimise problems afflicting observational epidemiology, to strengthen causal inference and to provide greater insights into modifiable intra-uterine and early life risk factors. The aim of this review is to describe these causal inference methods and to suggest how they may be applied in the context of birth cohorts and extended along with the development of birth cohort consortia and expansion of "omic" technologies.

Indexed as

Cohort StudiesRandomized Controlled Trials as TopicBirth RateCausalityEpigenomicsMetabolomicsBirth cohortCausal inferenceConsortiaDOHaDEpidemiologyEpigeneticsLife courseMetabolomicsOmics

Identifiers

PMID25260961
PMCPMC5154380

What OpenQuestion holds

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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.