Evidence map›Paper›PMID 27028286›Full record

ArticleBritish journal of clinical pharmacology2016

EUROmediCAT signal detection: an evaluation of selected congenital anomaly-medication associations.

Joanne E Given, Maria Loane, Johannes M Luteijn, Joan K Morris, Lolkje T W de Jong van den Berg, Ester Garne, Marie-Claude Addor, Ingeborg Barisic, Hermien de Walle, Miriam Gatt and 10 more

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in British journal of clinical pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.2field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 21 citations in OpenAlex.

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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 at 16 institutions in 15 countries.

Joanne E GivenCentre for Maternal, Fetal and Infant Research, Institute of Nursing and Health Research, Ulster University, United Kingdom.
Maria LoaneCentre for Maternal, Fetal and Infant Research, Institute of Nursing and Health Research, Ulster University, United Kingdom.
Johannes M LuteijnWolfson Institute of Preventive Medicine, Queen Mary University of London, United Kingdom.
Joan K MorrisWolfson Institute of Preventive Medicine, Queen Mary University of London, United Kingdom.
Lolkje T W de Jong van den BergDepartment of Pharmacy, University of Groningen, the Netherlands.
Ester GarnePaediatric Department, Hospital Lillebaelt, Kolding, Denmark.
Marie-Claude AddorDivision of Medical Genetics, CHUV, Lausanne, Switzerland.
Ingeborg BarisicDepartment of Medical Genetics and Reproductive Health, Children's University Hospital Zagreb, Croatia.
Hermien de WalleEurocat Northern Netherlands, University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, the Netherlands.
Miriam GattDepartment of Health Information and Research, Guardamangia, Malta.
Kari KlungsoyrMedical Birth Registry of Norway, the Norwegian Institute of Public Health and Department of Global Public Health and Primary Care, University of Bergen, Norway.
Babak KhoshnoodParis Registry of Congenital Anomalies, Obstetrical, Perinatal and Pediatric Epidemiology Research Team, Center for Biostatistics and Epidemiology, INSERM U1153, Maternité de Port-Royal, PARIS, France.
Anna Latos-BielenskaPolish Registry of Congenital Malformations, Department of Medical Genetics, Poznan, Poland.
Vera NelenProvinciaal Instituut voor Hygiene (PIH), Antwerp, Belgium.
Amanda J NevilleIMER Registry (Emilia Romagna Registry of Birth Defects), Centre for Clinical and Epidemiological Research, University of Ferrara and Azienda Ospedaliero Univerisitarion di Ferrara, Italy.
Mary O'MahonyHealth Service Executive, Cork, Ireland.
Anna PieriniEpidemiology and Health Promotion Macro-Area Working Group, Unit of Environmental Epidemiology and Disease Registries, CNR Institute of Clinical Physiology, Pisa, Italy.
David TuckerCARIS - Congenital Anomaly Register and Information Service for Wales, Public Health Wales, Swansea, United Kingdom.
Awi WieselMainz Model Birth Registry, University Children's Hospital Mainz, Germany.
Helen DolkCentre for Maternal, Fetal and Infant Research, Institute of Nursing and Health Research, Ulster University, United Kingdom. h.dolk@ulster.ac.uk.
University of Ulster · GBQueen Mary University of London · GBUniversity of Groningen · NLChildren's Hospital Zagreb · HRCzech Academy of Sciences, Institute of Physiology · CZHealth Service Executive · IELillebaelt Hospital · DKMaternité Port Royal · FRMedicina · PLMinistry for Health · MTProvincial Institute for Hygiene · BEPublic Health Wales · GBUniversity Hospital of Lausanne · CHUniversity of Applied Sciences Mainz · DEUniversity of Bergen · NOUniversity of Ferrara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo evaluate congenital anomaly (CA)-medication exposure associations produced by the new EUROmediCAT signal detection system and determine which require further investigation.

methodsData from 15 EUROCAT registries (1995-2011) with medication exposures at the chemical substance (5th level of Anatomic Therapeutic Chemical classification) and chemical subgroup (4th level) were analysed using a 50% false detection rate. After excluding antiepileptics, antidiabetics, antiasthmatics and SSRIs/psycholeptics already under investigation, 27 associations were evaluated. If evidence for a signal persisted after data validation, a literature review was conducted for prior evidence of human teratogenicity.

resultsThirteen out of 27 CA-medication exposure signals, based on 389 exposed cases, passed data validation. There was some prior evidence in the literature to support six signals (gastroschisis and levonorgestrel/ethinylestradiol (OR 4.10, 95% CI 1.70-8.53; congenital heart disease/pulmonary valve stenosis and nucleoside/tide reverse transcriptase inhibitors (OR 5.01, 95% CI 1.99-14.20/OR 28.20, 95% CI 4.63-122.24); complete absence of a limb and pregnen (4) derivatives (OR 6.60, 95% CI 1.70-22.93); hypospadias and pregnadien derivatives (OR 1.40, 95% CI 1.10-1.76); hypospadias and synthetic ovulation stimulants (OR 1.89, 95% CI 1.28-2.70). Antipropulsives produced a signal for syndactyly while the literature revealed a signal for hypospadias. There was no prior evidence to support the remaining six signals involving the ordinary salt combinations, propulsives, bulk-forming laxatives, hydrazinophthalazine derivatives, gonadotropin releasing hormone analogues and selective serotonin agonists.

conclusionSignals which strengthened prior evidence should be prioritized for further investigation, and independent evidence sought to confirm the remaining signals. Some chance associations are expected and confounding by indication is possible.

Indexed as

RegistriesAbnormalities, Drug-InducedAdverse Drug Reaction Reporting SystemsCongenital AbnormalitiesEuropeFemaleHumansInfant, NewbornPregnancycongenital anomaliesdrug-induced anomaliespharmacoepidemiologypharmacovigilancepregnancysignal evaluation

Identifiers

PMID27028286
PMCPMC5137835
OpenAlexW2410271193

What OpenQuestion holds

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Registered trials

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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.