Evidence map›Paper›PMID 33352767›Full record

ArticleSensors (Basel, Switzerland)2020

Mapping of Back Muscle Stiffness along Spine during Standing and Lying in Young Adults: A Pilot Study on Spinal Stiffness Quantification with Ultrasound Imaging.

Christina Zong-Hao Ma, Long-Jun Ren, Connie Lok-Kan Cheng, Yong-Ping Zheng

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Observational
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Recent Advances in Imaging Sensors and Applications.Sensors (Basel, Switzerland) · 2021
    Article
  12. 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

4 authors at 1 institution in 1 country.

Christina Zong-Hao MaDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China.ORCID 0000-0001-6507-2329
Long-Jun RenDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
Connie Lok-Kan ChengDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
Yong-Ping ZhengDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
Hong Kong Polytechnic University · HK

Funding

The Hong Kong Polytechnic University G-YBFV, G-YBRN, H-ZG4W
6 · The paper itself

Abstract

Muscle stiffness in the spinal region is essential for maintaining spinal function, and might be related to multiple spinal musculoskeletal disorders. However, information on the distribution of muscle stiffness along the spine in different postures in large subject samples has been lacking, which merits further investigation. This study introduced a new protocol of measuring bilateral back muscle stiffness along the thoracic and lumbar spine (at T3, T7, T11, L1 & L4 levels) with both ultrasound shear-wave elastography (SWE) and tissue ultrasound palpation system (TUPS) in the lying and standing postures of 64 healthy adults. Good inter-/intra-reliability existed in the SWE and TUPS back muscle stiffness measurements (ICC ≥ 0.731,

Indexed as

Back MusclesElasticity Imaging TechniquesUltrasonographyFemaleHumansMaleMusclesPilot ProjectsReproducibility of ResultsYoung Adultback muscle stiffnesselasticityreliabilityshear-wave elastography (SWE)spinetissue ultrasound palpation system (TUPS)Young’s modulus

Identifiers

PMID33352767
PMCPMC7766024
OpenAlexW3114121169

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.