Evidence map›Paper›PMID 42606916›Full record

ArticleJournal of global health2026

Mapping the landscape of congenital anomaly registries worldwide: what role do health and economic factors play?

Martina Schatz, Felicity Vidya Mehendale

Abstract read
In one paragraph

Article in Journal of global health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Martina Schatz
Felicity Vidya MehendaleCentre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Congenital anomalies (CAs) are structural or functional changes occurring during intrauterine life. The World Health Organization data indicate that about 295,000 babies die within the first four weeks of birth due to CAs every year. It has been estimated that approximately 94% of severe CAs occur in low- and middle-income and low-income countries. While the use of a national congenital anomaly registry (CAR) can help improve healthcare quality, access, and planning for families and children born with CAs, few countries report using such a system. We aimed to evaluate the correlation of health and economic indicators with the existence of national CARs. Methods: We compiled data on individual countries' reported CAR status from regional networks, the International Clearinghouse for Birth Defects Surveillance and Research, the Modell database, and a literature search. We classified countries according to the reported CAR status into those that reported having a national CAR with or without regional CAR, only a regional CAR, and no CAR data available. Using the Kruskal-Wallis test, we analysed whether a country's CAR status was correlated with health and economic data from UNICEF and the World Bank. Results: Of the 202 countries in our sample, 30 reported having a national CAR, 19 only a regional CAR, and 153 no CAR. Country income group-level analysis showed that 35.4% of high-income, 13.2% of upper middle-income, and 0% of low- and middle-income, and 0% low-income countries were reported to have national CARs. Countries lacking a national CAR tended to have a lower gross domestic product (P < 0.001), increased infant mortality rates (P < 0.001), and lower birth registration rates (P < 0.001). Conclusions: While the importance of CARs for improving global health is widely recognised, most LMICs and LICs still do not report having a national CAR. Our study suggests that countries without CARs face greater economic and health systems challenges. Collaborations to develop national CARs need to consider the impact of these wider economic and health systems challenges.

Indexed as

Congenital AbnormalitiesGlobal HealthRegistriesDeveloping CountriesHumansInfant, NewbornSocioeconomic Factorscongenital anomaly surveillanceglobal healthhealth inequalityneonatal and perinatal outcomespopulation health data

Identifiers

PMID42606916
PMCPMC13480458

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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.