Evidence map›Paper›PMID 35035312›Full record

Trial reportContrast media & molecular imaging2021

Artificial Intelligence Algorithm-Based Lumbar and Spinal MRI for Evaluation of Efficacy of Chinkuei Shin Chewan Decoction on Lumbar Spinal Stenosis.

Yuefeng Zhu, Tao Wu, Wenhao Wang, Chengchen Cai, Bin Zhu, Weilong Lin, Hao Xu, Qianqian Liang, Yongjun Wang

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Contrast media & molecular imaging, 2021. 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. Modulation of the gut microbiota by traditional Chinese medicine to attenuate chemotherapy-induced toxicity in gastric cancer: a review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    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

9 authors.

Yuefeng ZhuLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.ORCID 0000-0002-2746-1005
Tao WuTraumatology and Orthopedics of Traditional Chinese Medicine, Huadong Hospital, Fudan University, Shanghai 200040, China.ORCID 0000-0001-5297-442X
Wenhao WangTraumatology and Orthopedics of Traditional Chinese Medicine, Huadong Hospital, Fudan University, Shanghai 200040, China.ORCID 0000-0002-8496-5648
Chengchen CaiTraumatology and Orthopedics of Traditional Chinese Medicine, Huadong Hospital, Fudan University, Shanghai 200040, China.ORCID 0000-0001-8954-5450
Bin ZhuTraumatology and Orthopedics of Traditional Chinese Medicine, Huadong Hospital, Fudan University, Shanghai 200040, China.ORCID 0000-0001-9115-888X
Weilong LinDepartment of Orthopedics, Huadong Hospital, Fudan University, Shanghai 200040, China.ORCID 0000-0003-2713-5987
Hao XuLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.ORCID 0000-0003-2598-4010
Qianqian LiangLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.ORCID 0000-0003-4052-5357
Yongjun WangLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.ORCID 0000-0002-3971-249X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study aimed to explore the application value of lumbar Magnetic Resonance Imaging (MRI) images processed by artificial intelligence algorithms in evaluating the efficacy of chinkuei shin chewan decoction (a traditional Chinese medicine to nourish the kidney) in the treatment of lumbar spinal stenosis (LSS). Specifically, 110 LSS patients admitted to the hospital were selected as the research subjects. They were randomly divided into the control group (

Indexed as

Spinal StenosisAlgorithmsArtificial IntelligenceHumansLumbar VertebraeMagnetic Resonance ImagingTreatment Outcome

Identifiers

PMID35035312
PMCPMC8731294

What OpenQuestion holds

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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.