Evidence map›Paper›PMID 36970333›Full record

ArticleFrontiers in cardiovascular medicine2023

Quantitative evaluation of gastrocnemius medialis mass in patients with chronic heart failure by gray-scale ultrasound and shear wave elastography.

Qiyu Yao, Yinglun Zhang, Jun Wu, Hua Shu, Xinhua Ye, Ao Li

Open access · goldFull text read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Observational
  2. 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

6 authors at 1 institution in 1 country.

Qiyu YaoDepartment of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yinglun ZhangDepartment of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jun WuDepartment of Geriatric Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Hua ShuDepartment of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xinhua YeDepartment of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Ao LiDepartment of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To assess the usefulness of gray-scale ultrasound (US) and shear wave elastography (SWE) in assessing the condition of the skeletal muscles in patients with chronic heart failure (CHF). Methods: We prospectively compared 20 patients with clinically diagnosed CHF and a control population of 20 normal volunteers. The gastrocnemius medialis (GM) of each individual in the rest and the contraction position was assessed using gray-scale US and SWE. The quantitative US parameters including the fascicle length (FL), pinnation angle (PA), echo intensity (EI), and Young's modulus of the muscle were measured. Results: In the CHF group compared with the control group, in the rest position, there was a significant difference in EI, PA, and FL of the GM ( Conclusion: The gray-scale US and SWE can provide an objective assessment of skeletal muscle status for CHF patients and are expected to be used to guide their early rehabilitation training and improve their prognosis.

Indexed as

chronic heart failureecho intensityelastogarphymuscle massultrasound

Identifiers

PMID36970333
PMCPMC10034337
OpenAlexW4323665525

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read6
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.