Evidence map›Paper›PMID 29325223›Full record

SynthesisClinical endocrinology2018

Maternal thyroid hormone insufficiency during pregnancy and risk of neurodevelopmental disorders in offspring: A systematic review and meta-analysis.

William Thompson, Ginny Russell, Genevieve Baragwanath, Justin Matthews, Bijay Vaidya, Jo Thompson-Coon

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Clinical endocrinology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 11 pooled it
10.7field-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

67 citing papers in PubMed, 11 syntheses or guidelines pooled it, 167 citations in OpenAlex.

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  5. Risk Factors for Thyroid Dysfunction in Pregnancy: An Individual Participant Data Meta-Analysis.Thyroid : official journal of the American Thyroid Association · 2024
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7 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

6 authors at 2 institutions in 1 country.

William ThompsonNIHR Collaboration for Leadership in Applied Health Research and Care South West Peninsula (PenCLAHRC), University of Exeter Medical School, University of Exeter, Exeter, UK.
Ginny RussellCentre for Study of the Life Sciences, University of Exeter Medical School, University of Exeter, Exeter, UK.
Genevieve BaragwanathDepartment of Endocrinology, Royal Devon & Exeter Hospital NHS Trust, Exeter, UK.
Justin MatthewsNIHR Collaboration for Leadership in Applied Health Research and Care South West Peninsula (PenCLAHRC), University of Exeter Medical School, University of Exeter, Exeter, UK.
Bijay VaidyaDepartment of Endocrinology, Royal Devon & Exeter Hospital NHS Trust, Exeter, UK.ORCID 0000-0002-2223-0494
Jo Thompson-CoonNIHR Collaboration for Leadership in Applied Health Research and Care South West Peninsula (PenCLAHRC), University of Exeter Medical School, University of Exeter, Exeter, UK.
University of Exeter · GBRoyal Devon & Exeter NHS Foundation Trust · GB

Funding

Department of HealthWellcome TrustWellcome Trust 108676/Z/1
6 · The paper itself

Abstract

backgroundIn the last 2 decades, several studies have examined the association between maternal thyroid hormone insufficiency during pregnancy and neurodevelopmental disorders in children and shown conflicting results.

aimThis systematic review aimed to assess the evidence for an association between maternal thyroid hormone insufficiency during pregnancy and neurodevelopmental disorders in children. We also sought to assess whether levothyroxine treatment for maternal thyroid hormone insufficiency improves child neurodevelopment outcomes.

methodsWe performed systematic literature searches in MEDLINE, EMBASE, PSYCinfo, CINAHL, AMED, BNI, Cochrane, Scopus, Web of Science, GreyLit, Grey Source and Open Grey (latest search: March 2017). We also conducted targeted web searching and performed forwards and backwards citation chasing. Meta-analyses of eligible studies were carried out using the random-effects model.

resultsWe identified 39 eligible articles (37 observational studies and 2 randomized controlled trials [RCT]). Meta-analysis showed that maternal subclinical hypothyroidism and hypothyroxinaemia are associated with indicators of intellectual disability in offspring (odds ratio [OR] 2.14, 95% confidence interval [CI] 1.20 to 3.83, P = .01, and OR 1.63, 95% CI 1.03 to 2.56, P = .04, respectively). Maternal subclinical hypothyroidism and hypothyroxinaemia were not associated with attention deficit hyperactivity disorder, and their effect on the risk of autism in offspring was unclear. Meta-analysis of RCTs showed no evidence that levothyroxine treatment for maternal hypothyroxinaemia or subclinical hypothyroidism reduces the incidence of low intelligence quotient in offspring. LIMITATIONS: Although studies were generally of good quality, there was evidence of heterogeneity between the included observational studies (I

conclusionMaternal hypothyroxinaemia and subclinical hypothyroidism may be associated with intellectual disability in offspring. Currently, there is no evidence that levothyroxine treatment, when initiated 8- to 20-week gestation (mostly between 12 and 17 weeks), for mild maternal thyroid hormone insufficiency during pregnancy reduces intellectual disability in offspring.

Indexed as

HypothyroidismPregnancy ComplicationsPrenatal Exposure Delayed EffectsFemaleHumansNeurodevelopmental DisordersPregnancyThyroxineThyroxineautismhypothyroxinaemiaintelligent quotientpregnancysubclinical hypothyroidismthyroid

Identifiers

PMID29325223
PMCPMC5888183
OpenAlexW2784256256

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.