Evidence map›Paper›PMID 27541682›Full record

ArticleJournal of community genetics2017

Geographic clusters of congenital anomalies in Argentina.

Boris Groisman, Juan Gili, Lucas Giménez, Fernando Poletta, María Paz Bidondo, Pablo Barbero, Rosa Liascovich, Jorge López-Camelo

Abstract read
In one paragraph

Article in Journal of community genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

8 authors.

Boris GroismanNational Network of Congenital Anomalies of Argentina (RENAC), National Center of Medical Genetics, National Ministry of Health, Av. Las Heras 2670, 3er piso, Ciudad de Buenos Aires, 1425, Argentina. bgroisman@gmail.com.ORCID http://orcid.org/0000-0001-6263-2562
Juan GiliECLAMC (Latin American Collaborative Study of Congenital Malformations) at CEMIC (Center for Medical Education and Clinical Research), Buenos Aires, Argentina.
Lucas GiménezECLAMC (Latin American Collaborative Study of Congenital Malformations) at CEMIC (Center for Medical Education and Clinical Research), Buenos Aires, Argentina.
Fernando PolettaECLAMC (Latin American Collaborative Study of Congenital Malformations) at CEMIC (Center for Medical Education and Clinical Research), Buenos Aires, Argentina.
María Paz BidondoNational Network of Congenital Anomalies of Argentina (RENAC), National Center of Medical Genetics, National Ministry of Health, Av. Las Heras 2670, 3er piso, Ciudad de Buenos Aires, 1425, Argentina.
Pablo BarberoNational Network of Congenital Anomalies of Argentina (RENAC), National Center of Medical Genetics, National Ministry of Health, Av. Las Heras 2670, 3er piso, Ciudad de Buenos Aires, 1425, Argentina.
Rosa LiascovichNational Network of Congenital Anomalies of Argentina (RENAC), National Center of Medical Genetics, National Ministry of Health, Av. Las Heras 2670, 3er piso, Ciudad de Buenos Aires, 1425, Argentina.
Jorge López-CameloECLAMC (Latin American Collaborative Study of Congenital Malformations) at CEMIC (Center for Medical Education and Clinical Research), Buenos Aires, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Geographical clusters are defined as the occurrence of an unusual number of cases higher than expected in a given geographical area in a certain period of time. The aim of this study was to identify potential geographical clusters of specific selected congenital anomalies (CA) in Argentina. The cases were ascertained from 703,325 births, examined in 133 maternity hospitals in the 24 provinces of Argentina. We used the spatial scan statistic to determine areas of Argentina which had statistically significant elevations of prevalence. Prenatal diagnosis followed by referral of high-risk pregnancies to high complexity hospitals in a hospital-based surveillance system can create artifactual clusters. We assessed the referral bias by evaluating the prevalence heterogeneity within each cluster. Eight clusters of selected CAs with unusually high birth prevalence were identified: anencephaly, encephalocele, spina bifida, diaphragmatic hernia, talipes equinovarus, omphalocele, Cleft lip with or without cleft palate (CL/P), and Down syndrome. The clusters of Down syndrome and CL/P observed in this study match the previously reported clusters. These findings support local targeted interventions to lower the prevalence of the CAs and/or further research on the cause of each cluster. The clusters of spina bifida, anencephaly, encephalocele, omphalocele, congenital diaphragmatic hernia, and talipes equinovarus may be influenced by prenatal diagnosis and referral to high complexity hospitals.

Indexed as

Birth prevalenceCongenital anomaliesGeographic clustersNational Network of Congenital Anomalies of Argentina (RENAC)

Identifiers

PMID27541682
PMCPMC5222755

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.