Evidence map›Paper›PMID 40462025›Full record

ArticleBMC musculoskeletal disorders2025

Effectiveness of incorporating the graf method into a universal neonatal ultrasound screening program for early diagnosis of developmental dysplasia of the hip in the Taiwanese population.

Jou-Hua Wang, Shu-Hsin Yao, Ting-Ming Wang, Chii-Jeng Lin, Chang-Hao Lin, Chun-Ho Chen

Abstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Observational
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4 · The record

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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

6 authors.

Jou-Hua WangDepartment of Orthopaedic Surgery, National Cheng Kung University Hospital, Tainan, Taiwan.
Shu-Hsin YaoDepartment of Orthopedics, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chia- Yi, Taiwan.
Ting-Ming WangDepartment of Orthopaedic Surgery, National Taiwan University Hospital, Taipei, Taiwan.
Chii-Jeng LinDepartment of Orthopaedic Surgery, National Cheng Kung University Hospital, Tainan, Taiwan.
Chang-Hao LinDepartment of Orthopedics, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chia- Yi, Taiwan.
Chun-Ho ChenDepartment of Biomedical Engineering, National Cheng Kung University, Tainan, Taiwan. 07342@cych.org.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study evaluated the effectiveness of integrating Graf method into the universal neonatal screening program for detecting developmental dysplasia of the hip (DDH) in Taiwanese population.

methodsA total of 4,667 neonates screened between May 2014 and November 2019 were enrolled in this study. Hip ultrasound scans were performed three days after birth, and hips were classified based on their morphology and stability. The incidence rates of early diagnosis, late diagnosis, and surgical interventions for DDH were assessed. Risk factors and treatment measures for DDH were documented.

resultsDuring the initial examination, 95.95% of hips were classified as Graf type I, while a small proportion were classified as types IIa, IIc (stable/unstable), or III. By the second examination at 4 weeks, all type IIa hips had matured to type I. A total of 35 hips (0.37%) were diagnosed with DDH and treated with a Pavlik harness before 12 weeks, resulting in an early diagnosis rate of 0.37%, with no cases of late diagnosis reported. The incidence of DDH-related surgeries was 0.04%. Multivariable logistic regression identified female sex (OR = 2.41, 95% CI: 1.05-5.52, p = 0.038) and breech presentation (OR = 6.54, 95% CI: 2.22-19.32, p < 0.001) as significant risk factors for DDH.

conclusionUniversal neonatal ultrasound screening using the Graf method is simple and beneficial in the early detection and intervention of DDH. Additionally, it significantly reduces the rates of late diagnosis and the need for surgical intervention.

Indexed as

Developmental Dysplasia of the HipHip Dislocation, CongenitalNeonatal ScreeningDelayed DiagnosisEarly DiagnosisFemaleHumansIncidenceInfant, NewbornMaleRetrospective StudiesRisk FactorsTaiwanUltrasonographyDevelopmental dysplasia of the hipHip ultrasoundNeonatal screeningUniversal screening

Identifiers

PMID40462025
PMCPMC12135215

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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.