Evidence map›Paper›PMID 35928896›Full record

ArticleFrontiers in endocrinology2022

Correlation Between Bioelectrical Impedance Analysis and Chest CT-Measured Erector Spinae Muscle Area: A Cross-Sectional Study.

Jie Cao, Didi Zuo, Tingting Han, Hongxia Liu, Wenwen Liu, Jia Zhang, Yurong Weng, Xian Jin, Zengai Chen, Yaomin Hu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Observational
  8. Muscle and Fat Composition in OSA: A CT-Based Study.Journal of clinical medicine · 2025
    Article
  9. Review
  10. Review
  11. Unveiling the Knowledge Frontier: A Scientometric Analysis of COPD with Sarcopenia.International journal of chronic obstructive pulmonary disease · 2024
    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

10 authors at 2 institutions in 1 country.

Jie CaoDepartment of Geriatrics, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Didi ZuoDepartment of Geriatrics, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Tingting HanDepartment of Geriatrics, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Hongxia LiuDepartment of Geriatrics, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Wenwen LiuDepartment of Geriatrics, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Jia ZhangDepartment of Geriatrics, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Yurong WengDepartment of Geriatrics, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Xian JinDepartment of Geriatrics, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Zengai ChenDepartment of Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yaomin HuDepartment of Geriatrics, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Renji Hospital · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Skeletal muscle mass (SMM) plays an important part in diverse health and disease states. Bioelectrical impedance analysis (BIA) and computed tomography (CT) are available for its assessment. However, muscle mass assessed by BIA may be influenced by multiple factors. The erector spinae muscle area (ESA) on chest CT is recently presumed to be representative of SMM. This study aimed to derive BIA from the ESA and evaluate the magnitude of association (between ESA measured from chest CT) and BIA. Methods: Subjects hospitalized for health checkups between December 2020 and December 2021, having undergone both BIA (50 kHz, 0.8 mA) and chest CT, were included. ESA was quantified at the level of the 12th thoracic vertebra (T12-ESA) by a standardized semi-automated segmentation algorithm. Low SMM was defined using the Asian Working Group for Sarcopenia criteria. The association between T12-ESA and BIA was then evaluated. Stratified analyses by sex and BMI were also performed. Results: Among 606 included subjects (59.7 ± 16.6 years, 63.5% male), 110 (18.2%) had low SMM. BMI in low and normal SMM groups was 20.1 and 24.7 kg/m Conclusions: CT-based assessment of ESA at the T12 level is feasible and correlated well with BIA, especially in male subjects and obese subjects.

Indexed as

Body CompositionTomography, X-Ray ComputedCross-Sectional StudiesElectric ImpedanceFemaleHumansMaleMuscle, SkeletalObesitybioelectrical impedance analysiscomputed tomographyL3 skeletal muscle mass areaskeletal muscle massT12 erector spinae muscle area

Identifiers

PMID35928896
PMCPMC9343984
OpenAlexW4285798079

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.