Evidence map›Paper›PMID 36359575›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Comparison of Concordance between Chuna Manual Therapy Diagnostic Methods (Palpation, X-ray, Artificial Intelligence Program) in Lumbar Spine: An Exploratory, Cross-Sectional Clinical Study.

Jin-Hyun Lee, Hyeonjun Woo, Jun-Su Jang, Joong Il Kim, Young Cheol Na, Kwang-Ryeol Kim, Eunbyul Cho, Jung-Han Lee, Tae-Yong Park

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 39% 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

7 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 3 institutions in 1 country.

Jin-Hyun LeeInstitute for Integrative Medicine, Catholic Kwandong University International St. Mary's Hospital, 25 Simgok-ro 100 beon-gil, Seo-gu, Incheon 22711, Korea.ORCID 0000-0001-8387-2485
Hyeonjun WooDepartment of Korean Medicine Rehabilitation, College of Korean Medicine, Wonkwang University, 460 Iksan-daero, Iksan-si 54538, Korea.ORCID 0000-0003-1614-2145
Jun-Su JangDigital Health Research Division, Korea Institute of Oriental Medicine, 1672 Yuseong-daero, Yuseong-gu, Daejeon 34054, Korea.ORCID 0000-0002-7639-5884
Joong Il KimDigital Health Research Division, Korea Institute of Oriental Medicine, 1672 Yuseong-daero, Yuseong-gu, Daejeon 34054, Korea.ORCID 0000-0001-5538-6674
Young Cheol NaDepartment of Neurosurgery, Catholic Kwandong University International St. Mary's Hospital, Catholic Kwandong University College of Medicine, 25 Simgok-ro 100 beon-gil, Seo-gu, Incheon 22711, Korea.
Kwang-Ryeol KimDepartment of Neurosurgery, Catholic Kwandong University International St. Mary's Hospital, Catholic Kwandong University College of Medicine, 25 Simgok-ro 100 beon-gil, Seo-gu, Incheon 22711, Korea.
Eunbyul ChoDepartment of Acupuncture and Moxibustion Medicine, College of Korean Medicine, Wonkwang University, 460 Iksan-daero, Iksan-si 54538, Korea.ORCID 0000-0003-3431-1109
Jung-Han LeeDepartment of Korean Medicine Rehabilitation, College of Korean Medicine, Wonkwang University, 460 Iksan-daero, Iksan-si 54538, Korea.
Tae-Yong ParkInstitute for Integrative Medicine, Catholic Kwandong University International St. Mary's Hospital, 25 Simgok-ro 100 beon-gil, Seo-gu, Incheon 22711, Korea.ORCID 0000-0002-6803-5483
Catholic Kwandong University International St. Mary's Hospital · KRKorea Institute of Oriental Medicine · KRWonkwang University · KR

Funding

Ministry of Health and Welfare HF20C0070
6 · The paper itself

Abstract

Before Chuna manual therapy (CMT), a manual therapy applied in Korean medicine, CMT spinal diagnosis using palpation or X-ray is performed. However, studies on the inter-rater concordance of CMT diagnostic methods, concordance among diagnostic methods, and standard CMT diagnostic methods are scarce. Moreover, no clinical studies have used artificial intelligence (AI) programs for X-ray image-based CMT diagnosis. Therefore, this study sought a feasible and standard CMT spinal diagnostic method and explored the clinical applicability of the CMT-AI program. One hundred participants were recruited, and the concordance within and among different diagnostic modalities was analyzed by dividing them into manual diagnosis (MD), X-ray image-based diagnosis (XRD) by experts and non-experts, and XRD using a CMT-AI program by non-experts. Regarding intra-group concordance, XRD by experts showed the highest concordance (used as a gold standard when comparing inter-group concordance), followed by XRD using the AI program, XRD by non-experts, and then MD. Comparing diagnostic results between the groups, concordance with the gold standard was the highest for XRD using the AI program, followed by XRD by non-experts, and MD. Therefore, XRD is a more reasonable CMT diagnostic method than MD. Furthermore, the clinical applicability of the CMT-AI program is high.

Indexed as

artificial intelligenceChuna manual therapydiagnosismanual medicineradiography

Identifiers

PMID36359575
PMCPMC9689192
OpenAlexW4308522607

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.