Evidence map›Paper›PMID 40851737›Full record

ArticleCureus2025

Prevalence of Congenital Malformations in the Oriental Region of Morocco.

Islam Erraoui, Mohammed Ech-Chebab, Anass Ayyad, Sahar Messaoudi, Rim Amrani

Abstract read
In one paragraph

Article in Cureus, 2025. 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
–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

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

5 authors.

Islam ErraouiDepartment of Pediatrics, University Hospital Center of Mohammed VI, Faculty of Medicine and Pharmacy, Mohammed Premier University, Oujda, MAR.
Mohammed Ech-ChebabDepartment of Neonatology and Neonatal Intensive Care, University Hospital Center of Mohammed VI, Faculty of Medicine and Pharmacy, Mohammed Premier University, Oujda, MAR.
Anass AyyadDepartment of Neonatology and Neonatal Resuscitation, University Hospital Center of Mohammed VI, Faculty of Medicine and Pharmacy, Mohammed Premier University, Oujda, MAR.
Sahar MessaoudiDepartment of Neonatology, University Hospital Center of Mohammed VI, Faculty of Medicine and Pharmacy, Mohammed Premier University, Oujda, MAR.
Rim AmraniDepartment of Neonatology, University Hospital Center of Mohammed VI, Faculty of Medicine and Pharmacy, Mohammed Premier University, Oujda, MAR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This retrospective study conducted at the Mohammed VI University Hospital Center in Oujda analyzed clinically visible congenital malformations among neonates admitted over a one-year period. The maternal age profile predominantly included young adults, with a significant proportion of cases linked to consanguinity, highlighting a potential genetic contribution to the occurrence of these anomalies. Most malformations were diagnosed after birth, with congenital heart defects representing the most frequent anomaly, followed by major digestive malformations such as anal atresia and omphalocele. Cases involving multiple malformations were also documented. The neonatal outcomes revealed a concerning mortality rate, reflecting the severity of these congenital conditions. These findings emphasize the urgent need to strengthen prenatal screening programs, implement a national registry for congenital malformations, and enhance public health interventions focused on prevention and early diagnosis to improve neonatal prognosis and reduce morbidity and mortality in this region.

Indexed as

birth defectsconsanguinityneonatal morbidityneonatal mortalityprenatal diagnosis

Identifiers

PMID40851737
PMCPMC12368948

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.