Evidence map›Paper›PMID 31900752›Full record

ArticleJournal of community genetics2020

Prenatal detection of congenital anomalies and related factors in Argentina.

Maria Paz Bidondo, Boris Groisman, Santiago Duarte, Agostina Tardivo, Rosa Liascovich, Pablo Barbero

Open access · greenAbstract read
In one paragraph

Article in Journal of community genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Prenatal ultrasound screening and congenital anomalies at birth by region: Pattern and distribution in Latvia.European journal of obstetrics & gynecology and reproductive biology: X · 2023
    Review
  6. Provision of rehabilitation for congenital conditions.Bulletin of the World Health Organization · 2022
    Article
  7. Article
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.

Maria Paz BidondoNational Network of Congenital Anomalies of Argentina (RENAC), National Center of Medical Genetics (CNGM), National Administration of Laboratories and Health Institutes (ANLIS), National Ministry of Health and Social Development, Av. Las Heras 2670, C1425ASP, Buenos Aires, Argentina. mariapazbidondo@gmail.com.ORCID https://orcid.org/0000-0002-4792-4775
Boris GroismanNational Network of Congenital Anomalies of Argentina (RENAC), National Center of Medical Genetics (CNGM), National Administration of Laboratories and Health Institutes (ANLIS), National Ministry of Health and Social Development, Av. Las Heras 2670, C1425ASP, Buenos Aires, Argentina.
Santiago DuarteNational Network of Congenital Anomalies of Argentina (RENAC), National Center of Medical Genetics (CNGM), National Administration of Laboratories and Health Institutes (ANLIS), National Ministry of Health and Social Development, Av. Las Heras 2670, C1425ASP, Buenos Aires, Argentina.
Agostina TardivoNational Network of Congenital Anomalies of Argentina (RENAC), National Center of Medical Genetics (CNGM), National Administration of Laboratories and Health Institutes (ANLIS), National Ministry of Health and Social Development, Av. Las Heras 2670, C1425ASP, Buenos Aires, Argentina.
Rosa LiascovichNational Network of Congenital Anomalies of Argentina (RENAC), National Center of Medical Genetics (CNGM), National Administration of Laboratories and Health Institutes (ANLIS), National Ministry of Health and Social Development, Av. Las Heras 2670, C1425ASP, Buenos Aires, Argentina.
Pablo BarberoNational Network of Congenital Anomalies of Argentina (RENAC), National Center of Medical Genetics (CNGM), National Administration of Laboratories and Health Institutes (ANLIS), National Ministry of Health and Social Development, Av. Las Heras 2670, C1425ASP, Buenos Aires, Argentina.
Centro Científico Tecnológico - San Juan · ARUniversidad de Buenos Aires · AR

Funding

Agencia Nacional de Promoción Científica y Tecnológica 00Ministerio de Salud de la Nación Abraam Soonis
6 · The paper itself

Abstract

Congenital anomalies (CAs) are a leading cause of neonatal death. Many CAs can be diagnosed prenatally. To estimate the prenatal detection rate (PDR) of CA in hospitals participating in the RENAC (National Network of Congenital Anomalies of Argentina) and to analyze the PDR according to different factors. Sources were reports of RENAC from the 2013-2016 period. Congenital anomalies included were those detectable by ultrasound or by a prenatal karyotype. PDR was calculated by region, health subsector, clinical presentation, maternal age, sex, and twining. Using multiple logistic regression analysis, we evaluated predictors of prenatal detection. In total, 9976 cases were defined as prenatal detectable; 5021 were detected (PDR = 50.3%). Multiple presentation increased the chances of prenatal detection (Adj. OR = 1.6; 95%CI 1.4-1.9). Prenatal detection was lower in the public subsector (Adj. OR = 0.8; 95%CI 0.7-0.9) and in the northern regions of the country. PDR was higher than 75% in isolated cases of urinary malformation, anencephaly, and gastroschisis. Prenatal detection increased the chance of birth in higher complexity-level hospitals (Adj. OR = 2.5; 95%CI 2.3-2.8). PDR was within the range previously reported. Heterogeneity between regions and health subsector suggests the need for training to achieve equity in detection.

Indexed as

Birth defectCongenital anomaliesPrenatal detection ratePrenatal ultrasoundPublic health surveillance

Identifiers

PMID31900752
PMCPMC7295886
OpenAlexW2997057570

What OpenQuestion holds

Textmetadata
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.