Evidence map›Paper›PMID 35620204›Full record

Trial reportComputational and mathematical methods in medicine2022

Artificial Intelligence Technology Combined with Ultrasound-Guided Needle Knife Interventional Treatment of PF: Improvement of Pain, Fascia Thickness, and Ankle-Foot Function in Patients.

Silai Zhu, Yuli Niu, Jing Wang, Dan Xu, Yong Li

RetractedOpen access · hybridAbstract readRandomized Controlled TrialRetracted Publication
In one paragraph

Trial report in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Moving towards the use of artificial intelligence in pain management.European journal of pain (London, England) · 2025
    Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Silai ZhuDepartment of Ultrasound Imaging, Wuhan Ninth Hospital, China.
Yuli NiuDepartment of Ultrasound Imaging, Wuhan Ninth Hospital, China.
Jing WangDepartment of Ultrasound Imaging, Wuhan Ninth Hospital, China.
Dan XuDepartment of Ultrasound Imaging, Wuhan Ninth Hospital, China.
Yong LiDepartment of Ultrasound Imaging, Wuhan Ninth Hospital, China.ORCID https://orcid.org/0000-0002-9570-3950
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the effect of artificial intelligence (AI) technology combined with ultrasound-guided needle knife intervention in the treatment of plantar fasciitis (PF) on pain, fascia thickness, and ankle and foot function. Methods: A total of 130 patients with PF treated in our hospital from January 2019 to April 2021 were enrolled. The patients were randomly assigned into the control group and the study group. The control group received ultrasound-guided needle knife interventional therapy, and the study group received AI technology combined with ultrasound-guided needle knife interventional therapy. The curative effect, VAS score, plantar fascia thickness, plantar fascia elasticity score, plantar fascia blood flow index, and AOFAS score were investigated. Results: The total effective rate of the study group was higher compared to that of the control ( Conclusion: Patients with PF receive AI technology combined with ultrasound-guided needle knife interventional therapy, which can effectively relieve pain and improve fascia thickness and ankle-foot function. Thus, AI technology combined with ultrasound-guided needle knife interventional therapy has the advantages of convenient operation, safety, and effectiveness, which is worthy of clinical application.

Indexed as

Fasciitis, PlantarAnkleArtificial IntelligenceFasciaHumansPainTechnologyUltrasonography, Interventional

Identifiers

PMID35620204
PMCPMC9129964
OpenAlexW4280544459

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.