Evidence map›Paper›PMID 42592473›Full record

ArticleActa ortopedica brasileira2026

EPIDEMIOLOGICAL PROFILE OF CONGENITAL FOOT ANOMALIES IN THE STATE OF BAHIA FROM 2014 TO 2022.

Jaqueline Nogueira Dos Santos, Rafael Pedrosa Braga, Adan Araújo Marques, João Pedro Ferreira Pinho Almeida, Pedro Fernando Dos Santos

Abstract read
In one paragraph

Article in Acta ortopedica brasileira, 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
–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.

Jaqueline Nogueira Dos SantosHospital Regional de Santo Antonio de Jesus (HRSAJ), Santo Antonio de Jesus, BA, Brazil.ORCID https://orcid.org/0009-0007-5060-1073
Rafael Pedrosa BragaHospital Regional de Santo Antonio de Jesus (HRSAJ), Santo Antonio de Jesus, BA, Brazil.ORCID https://orcid.org/0009-0001-0914-7813
Adan Araújo MarquesUniversidade Federal do Recôncavo da Bahia (UFRB), Santo Antonio de Jesus, BA, Brazil.ORCID https://orcid.org/0000-0001-8862-419X
João Pedro Ferreira Pinho AlmeidaUniversidade Federal do Recôncavo da Bahia (UFRB), Santo Antonio de Jesus, BA, Brazil.ORCID https://orcid.org/0000-0002-9465-8991
Pedro Fernando Dos SantosUniversidade Federal do Recôncavo da Bahia (UFRB), Santo Antonio de Jesus, BA, Brazil.ORCID https://orcid.org/0009-0006-8333-5595

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the epidemiological profile of births of children with congenital foot abnormalities and their associated factors within the Unified Health System (SUS). Methods: This study adopts a quantitative, descriptive, and cross-sectional approach, using secondary data from the Live Birth Information System (SINASC), provided by the SUS Department of Informatics (DATASUS). Data from the years 2014 to 2022, related to the State of Bahia, were analyzed. Births with congenital foot malformations were identified through specific ICD-10 codes designating the main diagnosis. Results: During the period from 2014 to 2022, Bahia recorded a total of 13,347 cases of congenital anomalies, of which 1,364 were related to congenital foot deformities, among a total of 1,765,439 births, representing a rate of 0.77 cases per 1,000 live births. Conclusion: The presented results indicate that male live births, children of mothers with less than 8 years of education, with a gestational age between 22 and 27 weeks, born by cesarean section, and with Apgar scores of less than 6 in the 1st and 5th minutes, are significantly associated with congenital foot malformations.

Indexed as

CongenitalDefectsEpidemiologyUnified Health System

Identifiers

PMID42592473
PMCPMC13464517

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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.