Evidence map›Paper›PMID 30218347›Full record

ArticleJournal of community genetics2018

Estimating the birth prevalence and pregnancy outcomes of congenital malformations worldwide.

Sowmiya Moorthie, Hannah Blencowe, Matthew W Darlison, Joy Lawn, Joan K Morris, Bernadette Modell, Congenital Disorders Expert Group, A H Bittles, H Blencowe, A Christianson and 19 more

Abstract read
In one paragraph

Article in Journal of community genetics, 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
–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

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

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  18. Congenital lung malformations.Nature reviews. Disease primers · 2023
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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

29 authors.

Sowmiya MoorthiePHG Foundation, 2 Worts Causeway, Cambridge, UK.
Hannah BlencoweCentre for Maternal, Adolescent, Reproductive, and Child Health, London School of Hygiene and Tropical Medicine, London, UK.
Matthew W DarlisonCentre for Health Informatics and Multiprofessional Education (CHIME), University College London, London, UK. m.darlison@ucl.ac.uk.
Joy LawnCentre for Maternal, Adolescent, Reproductive, and Child Health, London School of Hygiene and Tropical Medicine, London, UK.
Joan K MorrisCentre for Environmental and Preventive Medicine, Wolfson Institute of Preventive Medicine, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Bernadette ModellCentre for Health Informatics and Multiprofessional Education (CHIME), University College London, London, UK.
Congenital Disorders Expert Group
A H Bittles
H Blencowe
A Christianson
S Cousens
M W Darlison
S Gibbons
H Hamamy
B Khoshnood
C P Howson
J Lawn
P Mastroiacovo
B Modell
S Moorthie
J K Morris
P A Mossey
A J Neville
M Petrou
S Povey
J Rankin
L Schuler-Faccini
C Wren
K A Yunnis

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Congenital anomaly registries have two main surveillance aims: firstly to define baseline epidemiology of important congenital anomalies to facilitate programme, policy and resource planning, and secondly to identify clusters of cases and any other epidemiological changes that could give early warning of environmental or infectious hazards. However, setting up a sustainable registry and surveillance system is resource-intensive requiring national infrastructure for recording all cases and diagnostic facilities to identify those malformations that that are not externally visible. Consequently, not all countries have yet established robust surveillance systems. For these countries, methods are needed to generate estimates of prevalence of these disorders which can act as a starting point for assessing disease burden and service implications. Here, we describe how registry data from high-income settings can be used for generating reference rates that can be used as provisional estimates for countries with little or no observational data on non-syndromic congenital malformations.

Indexed as

Congenital malformationsEstimationPregnancy outcomesPrevalence

Identifiers

PMID30218347
PMCPMC6167261

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.