Evidence map›Paper›PMID 35813654›Full record

ArticleFrontiers in endocrinology2022

The Optimal Axial Anatomical Site for a Single-Slice Area to Quantify the Total Volume of Visceral Adipose Tissue in Quantitative CT.

Sihui Chen, Duoshan Ma, Danyang Su, Yali Li, Xi Yu, Yaojun Jiang, Jianbo Gao, Yan Wu

Erratum issuedOpen access · goldAbstract read
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. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Sihui ChenDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Duoshan MaDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Danyang SuDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yali LiDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xi YuDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yaojun JiangDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jianbo GaoDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yan WuDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Determine the association between cross-sectional visceral adipose tissue (VAT) area of different anatomic locations and total abdominopelvic VAT volume; identify the optimal measurement site in a single-slice to quantify the total VAT volume. Method: Participants who underwent non-contrast abdominal scan by quantitative CT (QCT) were enrolled from May 2021 to October 2021. The VAT area (cm Results: Total of 311 Chinese participants including 179 men [age, 55.1 ± 14.9 years; body mass index (BMI), 24.2 ± 3.2 kg/m Conclusions: Measurement of cross-sectional areas at the hilum of the kidney in both genders showed a strongest relation to TVAT volume. Our results may provide an identifiable and valuable axial landmark for measuring visceral adipose tissue in clinical practice.

Indexed as

Adipose TissueIntra-Abdominal FatAdultAgedBody Mass IndexFemaleHumansMaleMiddle AgedTomography, X-Ray ComputedWaist Circumferenceoptimal anatomical axial siteQCTtotal VATvisceral adipose tissuevolume prediction equation

Identifiers

PMID35813654
PMCPMC9259943
OpenAlexW4283330885

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.