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The Establishment and Analysis of the Clinical Prediction Model of Acupuncture and Moxibustion for Stroke Recovery

T

The Third Affiliated hospital of Zhejiang Chinese Medical University

Status

Unknown

Conditions

Stroke

Treatments

Procedure: Acupuncture

Study type

Observational

Funder types

Other

Identifiers

NCT03946566
MRJ-HT-1001

Details and patient eligibility

About

Electronic health records of stroke convalescent patients will be selected from the third affiliated hospital of Zhejiang Chinese Medical University from January 2012 to December 2019. Relevant clinical data will be extracted according to case data, and model-based decision tree analysis will be conducted to establish and evaluate the clinical prediction Model.

Full description

Cases will be screened according to inclusion and exclusion criteria.Patients' basic information, risk factors, types of stroke, TCM diagnosis, all treatment during hospitalization, neurological impairment evaluation, imaging examination results and other contents will be recorded.Finally, statistical processing will be carried out to establish the prediction model, draw ROC curve and evaluate the model.

Enrollment

1,500 estimated patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Clinical diagnosis of stroke
  • The incidence is between 30 days and 180 days
  • Age ≥ 18 years old
  • The first onset

Exclusion criteria

  • Subarachnoid hemorrhage
  • transient ischemic attack
  • other intracranial lesions
  • Non-atherosclerotic thrombotic cerebral infarction
  • Surgery, trauma, congenital disability leading to limb dysfunction

Trial design

1,500 participants in 2 patient groups

Acupuncture group
Description:
Using acupuncture, electric acupuncture, moxibustion and acupoint injection treatment.
Treatment:
Procedure: Acupuncture
Basic treatment group
Description:
Use basic treatments, such as western medicine.
Treatment:
Procedure: Acupuncture

Trial contacts and locations

1

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Central trial contact

Huiting Yang, Bachelor

Data sourced from clinicaltrials.gov

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