Evidence mapPaperPMID 40599335Full record

ReviewJournal of the Endocrine Society2025

Treating Childhood Obesity: Building and Evaluating Evidence-Based Models of Integrated Care.

Zina C McSweeney, Richard C Antonelli, Cara B Ebbeling

Abstract readReview
In one paragraph

Review in Journal of the Endocrine Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Zina C McSweeneyNew Balance Foundation Obesity Prevention Center, Division of Endocrinology, Boston Children's Hospital, Boston, MA 02115, USA.
Richard C AntonelliDepartment of Pediatrics, Harvard Medical School, Boston, MA 02115, USA.
Cara B EbbelingNew Balance Foundation Obesity Prevention Center, Division of Endocrinology, Boston Children's Hospital, Boston, MA 02115, USA.ORCID https://orcid.org/0000-0002-7088-9859

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Childhood obesity is a complex chronic condition, such that effective management requires intensive programming and sustained access to treatment. Integrated care models are useful for designing and delivering services to treat children with overweight or obesity. For this narrative mini-review, we searched PubMed (January 1, 2010, to December 31, 2024) using broad terms in 3 categories-care models, condition of interest (obesity), and population of interest (children/youth). This resulted in identification of 2 foundational models, the Chronic Care Model (CCM) and the Patient/Family-Centered Medical Home (PFCMH), which distinguish key elements of integrated care for childhood obesity (treatment with self-management support, team-based care, child/family activation and engagement, collaborative community linkages, and care coordination) and considerations for implementing such models (accessibility to care, virtual care, interprofessional education, and information systems and clinical decision support). Drawing upon the CCM and PFCMH, we designed an integrated care model with the child/family at the center and coordinated wraparound services pertaining to sectors influencing child health (health care, community, and family home). We concluded by noting the need to further study, adapt, scale, and fund strategies for implementing integrated care models and underscoring the importance of relevant outcome measures to drive ongoing quality improvement and sustainability.

Indexed as

care modelsintegrated health careobesitypediatricsprimary carespecialty care

Identifiers

PMID40599335
PMCPMC12210235

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.