Evidence map›Paper›PMID 42403061›Full record

ArticleGlobal spine journal2026

Radiation-free Assessment of Scoliosis: A Reliability and Validity Study for Ultrasound Angles.

Shuaiqi Zhu, Yingying Qiu, Chenfei Zhang, Jinying Zhang, Yongping Zheng, Haiying Liu, Shuai Xu

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PubMed Full text at PMC Publisher
In one paragraph

Article in Global spine journal, 2026. 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. Article
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

7 authors.

Shuaiqi ZhuDepartment of Spinal Surgery, Peking University People's Hospital, Peking University, Beijing, P.R. China.ORCID 0009-0006-2706-9675
Yingying QiuRehabilitation therapy center, Beijing Xicheng District Zhanlanlu Hospital, Beijing, P.R. China.
Chenfei ZhangDepartment of Spinal Surgery, Peking University People's Hospital, Peking University, Beijing, P.R. China.
Jinying ZhangSchool of Optoelectronics, Beijing Institute of Technology, Beijing, P.R. China.
Yongping ZhengInterdisciplinary Division of Biomedical Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong.
Haiying LiuDepartment of Spinal Surgery, Peking University People's Hospital, Peking University, Beijing, P.R. China.
Shuai XuDepartment of Spinal Surgery, Peking University People's Hospital, Peking University, Beijing, P.R. China.ORCID 0000-0002-3702-4714

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Study designA prospective study.ObjectivesThis study aimed to evaluate the reliability and validity of ultrasound angles, and to explore the impact of body mass index (BMI) and scoliosis status on the accuracy of ultrasound measurements.MethodsA total of 94 subjects were enrolled in this study and subsequently underwent both X-ray and ultrasound examinations. Two orthopedic surgeons independently measured the radiographic Cobb angle and the ultrasound angle to evaluate the intra- and interobserver reliability of ultrasound angles. Based on apical vertebra location, BMI, and scoliosis status, subjects were stratified into clinically relevant subgroups. Linear regression analyses and Bland-Altman plots were employed to assess the accuracy of the ultrasound measurements.ResultsUltrasound angles demonstrated excellent intra- and interobserver reliability (intraclass correlation coefficients, ICCs ranging from 0.939 to 0.99), and manual ultrasound angle showed better correlation with the radiographic Cobb angle than the automatic ultrasound angle. The lowest R

Indexed as

automaticbody mass indexmanualreliabilityscoliosisultrasound anglevalidity

Identifiers

PMID42403061
PMCPMC13337557

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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.