Evidence map›Paper›PMID 37212037›Full record

ReviewBiomolecules & biomedicine2023

Exploring the latest advancements in physical therapy techniques for treating cervical spondylosis patients: A narrative review.

Quanzheng Chen, Zhenshan Wang, Shuna Zhang

Open access · diamondAbstract readReview
In one paragraph

Review in Biomolecules & biomedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Clinical applied anatomical study between the uncinate process of the cervical spine and the vertebral artery.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2025
    Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. 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

3 authors at 1 institution in 1 country.

Quanzheng ChenDepartment of Physical Education and Health, Guangxi Normal University, Guilin, China.
Zhenshan WangDepartment of Physical Education and Health, Guangxi Normal University, Guilin, China.
Shuna ZhangDepartment of Physical Education and Health, Guangxi Normal University, Guilin, China.
Guangxi Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical spondylosis is a widespread medical condition that significantly impacts patients' quality of life. Treatment options include surgical and conservative approaches, with conservative treatment often being the preferred choice. Rehabilitation therapy is an essential component of conservative treatment, and advancements in technology have the way to the development of new physiotherapy techniques. The effectiveness of treatment largely hinges on the patient's ability to improve their dysfunction. This study aims to provide valuable insights into the use of new physical therapy techniques, such as Sling Exercises Training (SET), fascia manipulation, muscle energy technique (MET), and proprioceptive neuromuscular facilitation (PNF), that aid the rehabilitation of cervical spondylosis. By scrutinizing the current research status of these techniques, this study aims to present innovative ideas enhancing the rehabilitation process and outcomes for patients suffering from cervical spondylosis.

Indexed as

Muscle Stretching ExercisesSpondylosisDecompression, SurgicalHumansPhysical Therapy ModalitiesQuality of Life

Identifiers

PMID37212037
PMCPMC10494843
OpenAlexW4377191438

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.