Evidence map›Paper›PMID 40948293›Full record

ArticleSpine2026

Improving the Effectiveness of Adolescent Idiopathic Scoliosis (AIS) Screening: A Prospective Study.

Zifang Huang, Wang Xiaohong, Lingling Zheng, Fuyun Liu, Weiming Hu, Dongling Yang, Wenjuan Qi, Xiaoling Xuan, Zhijun Fei, Jingfan Yang and 1 more

Abstract read
In one paragraph

Article in Spine, 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

11 authors.

Zifang HuangDepartment of Spine Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
Wang XiaohongDepartment of Radiology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
Lingling ZhengXinmiao Scoliosis Prevention Center, Guangzhou, Guangdong, China.
Fuyun LiuDepartment of Orthopedics, The Third Affiliated Hospital of Zhengzhou University.
Weiming HuDepartment of Orthopedics, The Third Affiliated Hospital of Zhengzhou University.
Dongling YangShanghai Municipal Center for Disease Control and Prevention, Institute of Child and Adolescent Health.
Wenjuan QiShanghai Municipal Center for Disease Control and Prevention, Institute of Child and Adolescent Health.
Xiaoling XuanXinmiao Scoliosis Prevention Center, Guangzhou, Guangdong, China.
Zhijun FeiXinmiao Scoliosis Prevention Center, Guangzhou, Guangdong, China.
Jingfan YangSpine Surgery Center, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Junlin YangDepartment of Spine Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

designDiagnostic accuracy study.

objectiveTo evaluate the diagnostic performance of a combined screening method for adolescent idiopathic scoliosis (AIS), integrating scoliometer-based Angle of Trunk Rotation (ATR) measurement with physical examination findings, and to determine optimal screening thresholds. SUMMARY OF BACKGROUND DATA: The scoliometer and Adam Forward Bending Test (FBT) are widely used in AIS screening, but the optimal ATR cutoff and the additive value of clinical signs remain debated. Accurate and efficient school-based screening is essential for early detection and timely intervention.

methodsThis study included 595 participants (458 with AIS and 137 without scoliosis). Screening involved visual inspection, Adam Forward Bending Test (FBT), and Angle of Trunk Rotation (ATR) measurement. Diagnostic confirmation was performed using a standing whole spine x-ray or spine ultrasound. Receiver operating characteristic (ROC) analysis and logistic regression were used to identify the best predictive combination of ATR thresholds and clinical signs.

resultsAmong the 595 participants, the mean Cobb angle was 21.0˚±8.1˚ for AIS patients and 4.0˚±4.0˚ for non-AIS individuals. An ATR cutoff of 5.5 degrees yielded an AUC of 0.72, with a sensitivity of 73.1% and specificity of 70.8%. Combining ATR ≥5.5 degrees with at least 3 clinical signs (head tilt, shoulder unlevel, waistline asymmetry, and pelvic prominence) improved sensitivity to 84.1% (AUC=0.694). For clinical implementation, a simplified threshold of 5 degrees combined with/or ≥ 3 clinical signs further increased sensitivity to 91.5%, with acceptable specificity (47.4%). Among patients with Cobb angles ≥20 degrees, 10.3% had an ATR <6 degrees, emphasizing the role of clinical signs in identifying severe cases. In sex-specific analyses, girls showed higher sensitivity (89.7%) at an ATR cutoff of 4.5 degrees, compared with boy who had a cutoff of 5.5 degrees, while boys exhibited sensitivity improved when clinical signs were added. A unified threshold of ATR ≥6 degrees combined with/or ≥ 4 clinical signs achieved a sensitivity above 90% for both sexes in detecting severe scoliosis, supporting its practical value for school-based screening.

conclusionCombining ATR with clinical signs substantially enhances AIS screening performance. A practical strategy of ATR ≥5 degrees combine with/or ≥ 3 clinical signs offers balanced sensitivity and specificity for general screening. For detecting severe scoliosis, ATR ≥6 degrees combine with/or ≥ 4 clinical signs is recommended. This structured protocol supports more accurate, sex-adapted and severity-adapted school-based AIS screening.

Indexed as

Mass ScreeningScoliosisAdolescentChildFemaleHumansMalePhysical ExaminationProspective StudiesSpineadam's forward bending testadolescent idiopathic scoliosisangle of trunk rotation measurementscreen

Identifiers

PMID40948293
PMCPMC13277722

What OpenQuestion 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 OpenQuestion graph.