Evidence map›Paper›PMID 36416007›Full record

ArticlePediatrics2022

Weight Status of Children Participating in the National Spina Bifida Patient Registry.

Michele Polfuss, Tiebin Liu, Kathryn Smith, Pamela S Murphy, Elisabeth Ward, Judy Thibadeau, Nienke P Dosa, Yinding Wang, Kathleen J Sawin

Open access · greenAbstract read
In one paragraph

Article in Pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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

9 authors at 6 institutions in 1 country.

Michele PolfussUniversity of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.
Tiebin LiuRare Disorders and Health Outcomes Team, Birth Defects Monitoring and Research Branch, Division of Birth Defects and Infant Disorders, National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Kathryn SmithDepartment of Pediatrics, Children's Hospital Los Angeles, USC Keck School of Medicine, Los Angeles, California, USA.
Pamela S MurphyDistrict Medical Group Children's Rehabilitative Services, Phoenix, Arizona, USA.
Elisabeth WardCarter Consulting, Inc, Consultant to Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Judy ThibadeauSpina Bifida Association, Arlington, Virginia, USA.
Nienke P DosaDepartment of Pediatrics, SUNY Upstate Medical University, Syracuse, New York, USA.
Yinding WangMcKing Consulting Corporation, Consultant to Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Kathleen J SawinUniversity of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.
Centers for Disease Control and Prevention · USUniversity of Wisconsin–Milwaukee · USChildren's Hospital of Los Angeles · USMcKing Consulting (United States) · USSpina Bifida Association · USSUNY Upstate Medical University · US

Funding

Research Approaches to Improving the Care and Outcomes of People Living with Spina Bifida in Wisconsin: The NSBPRU01DD001240 · DD · CHILDREN'S HOSPITAL OF WISCONSIN · PI SHERBURNE, EILEEN · 2019 to 2023
$456k
Intramural CDC HHS CC999999NCBDD CDC HHS U01 DD000736NCBDD CDC HHS U01 DD000738NCBDD CDC HHS U01 DD000740NCBDD CDC HHS U01 DD000743NCBDD CDC HHS U01 DD000766NCBDD CDC HHS U01 DD000774NCBDD CDC HHS U01 DD001057NCBDD CDC HHS U01 DD001062NCBDD CDC HHS U01 DD001063NCBDD CDC HHS U01 DD001065NCBDD CDC HHS U01 DD001069NCBDD CDC HHS U01 DD001071NCBDD CDC HHS U01 DD001072NCBDD CDC HHS U01 DD001073NCBDD CDC HHS U01 DD001074NCBDD CDC HHS U01 DD001078NCBDD CDC HHS U01 DD001080NCBDD CDC HHS U01 DD001082NCBDD CDC HHS U01 DD001091NCBDD CDC HHS U01 DD001093NCBDD CDC HHS U01 DD001240
6 · The paper itself

Abstract

objectivesDescribe the distribution of weight status categories and determine factors associated with overweight and obesity (OW/OB) in children and adolescents with spina bifida (SB) using the National Spina Bifida Patient Registry.

methodsDemographic, anthropometric, and clinical data collected from 2009 through 2018 was used to describe the prevalence of OW/OB. The generalized estimating equation model (GEE) identified factors associated with OW/OB among individuals with SB.

resultsParticipants (n = 7215) were aged 2 to 19 years (mean = 11.1; standard error, 0.06) and 51.4% female. The majority were non-Hispanic white (57.2%) followed by Hispanic or Latino (25.1%) and non-Hispanic Black (7.5%). The myelomeningocele (MMC) subgroup accounted for 76.3%. Most (60.2%) were community ambulators. The overall percentage of OW/OB was 45.2%, with 49.2% of MMC and 32.0% of nonmyelomeningocele OW/OB. Following the Centers for Disease Control Obesity Severity Classification System, 19.7% of MMC were in class 1, 6.6% in class 2, and 3.5% in class 3. Univariate analysis of MMC participants demonstrated demographic (age, sex, race/ethnicity, and clinic region) and clinical variables (functional level of lesion, ambulation, and number of shunt surgeries) were associated with OW/OB. The GEE model showed that OW/OB was independently, and significantly, associated with age, sex, race/ethnicity, lesion levels, and geographic location of the clinics.

conclusionsThe demographic and clinical factors associated with OW/OB in children and adolescents with SB further our understanding of factors contributing to the higher prevalence of OW/OB in this population and may inform OW/OB prevention and treatment strategies.

Indexed as

MeningomyeloceleSpinal DysraphismAdolescentChildFemaleHumansMaleObesityOverweightRegistries

Identifiers

PMID36416007
PMCPMC11037268
OpenAlexW4309721274

What OpenQuestion holds

Textmetadata
LicenceTDM
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.