Evidence map›Paper›PMID 40564420›Full record

ArticleBioengineering (Basel, Switzerland)2025

Deep-Learning-Based Computer-Aided Grading of Cervical Spinal Stenosis from MR Images: Accuracy and Clinical Alignment.

Zhiling Wang, Xinquan Chen, Bin Liu, Jinjin Hai, Kai Qiao, Zhen Yuan, Lianjun Yang, Bin Yan, Zhihai Su, Hai Lu

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

10 authors.

Zhiling WangFifth Affiliated Hospital of Sun Yat-sen University, Department of Spinal Surgery, 52 East Meihua Rd, Xiangzhou, Zhuhai 519000, China.ORCID 0000-0002-4746-4924
Xinquan ChenFifth Affiliated Hospital of Sun Yat-sen University, Department of Spinal Surgery, 52 East Meihua Rd, Xiangzhou, Zhuhai 519000, China.
Bin LiuFifth Affiliated Hospital of Sun Yat-sen University, Department of Spinal Surgery, 52 East Meihua Rd, Xiangzhou, Zhuhai 519000, China.
Jinjin HaiHenan Key Laboratory of Imaging and Intelligence Processing, Information Engineering University, Zhengzhou 450001, China.
Kai QiaoHenan Key Laboratory of Imaging and Intelligence Processing, Information Engineering University, Zhengzhou 450001, China.
Zhen YuanFaculty of Health Sciences, University of Macau, Taipa, Macau 999078, China.ORCID 0000-0003-3061-6263
Lianjun YangFifth Affiliated Hospital of Sun Yat-sen University, Department of Spinal Surgery, 52 East Meihua Rd, Xiangzhou, Zhuhai 519000, China.
Bin YanHenan Key Laboratory of Imaging and Intelligence Processing, Information Engineering University, Zhengzhou 450001, China.
Zhihai SuFifth Affiliated Hospital of Sun Yat-sen University, Department of Spinal Surgery, 52 East Meihua Rd, Xiangzhou, Zhuhai 519000, China.ORCID 0000-0002-0355-1129
Hai LuFifth Affiliated Hospital of Sun Yat-sen University, Department of Spinal Surgery, 52 East Meihua Rd, Xiangzhou, Zhuhai 519000, China.ORCID 0000-0002-4212-3282

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

automatic measurementcervical spinal stenosisclassificationdeep learningtarget detection

Identifiers

PMID40564420
PMCPMC12189467

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.