Evidence map›Paper›PMID 24027478›Full record

ArticleThe Iowa orthopaedic journal2013

Descriptive epidemiology of clubfoot in Peru: a clinic-based study.

Melissa Palma, Thomas Cook, Julio Segura, Augustin Pecho, Jose A Morcuende

Abstract read
In one paragraph

Article in The Iowa orthopaedic journal, 2013. 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
–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

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

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Melissa PalmaDepartment of Orthopaedic Surgery and Rehabilitation Carver College of Medicine University of Iowa.
Thomas Cook
Julio Segura
Augustin Pecho
Jose A Morcuende

Funding

University of Iowa MHIRT ProgramT37MD001453 · NIMHD · UNIVERSITY OF IOWA · PI AFIFI, RIMA · 2005 to 2018
$3.0M
NIMHD NIH HHS T37MD001453
6 · The paper itself

Abstract

congenital clubfoot is the most common birth defect of the musculoskeletal system and affects 1 in every 1000 live births each year.(1) Although there have been numerous studies of investigation, the etiology and pathogenesis of clubfoot remains unknown. To date, no epidemiological studies have been conducted in Peru to assess possible genetic and environmental risk factors associated with this deformity. The purpose of this study was to evaluate specific environmental and socioeconomic factors that may increase the risk of clubfoot. A descriptive clinic-based study was conducted using structured questionnaires given to biological mothers of clinically confirmed clubfoot patients (n=72) and biological mothers of children between ages 0-18 with no first or second degree family history of clubfoot as controls (n=103). Phenotypic data from clubfoot subjects were also collected. We found that males were twice as likely to have clubfoot as females, and half of all clubfoot patients had bilateral clubfoot. There was no significant difference in the rate of left vs. right clubfoot. Infant birth in the winter months correlated with an increased risk of clubfoot (p=0.01476). Maternal characteristics found to be significantly associated with increased risk of clubfoot were young maternal age at conception (p=0.04369) and low maternal education (p=0.003245). Young paternal age also had a correlation with increased risk of clubfoot in the child (p=0.0371). Both paternal smoking (p=0.00001) and the presence of any household smoking (p=0.00003) were strongly associated with an increased risk of clubfoot.

Indexed as

ChildChild, PreschoolClubfootFemaleHumansInfantMalePeruPrevalenceRisk FactorsSex FactorsSmokingSurveys and Questionnaires

Identifiers

PMID24027478
PMCPMC3748874

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.