Evidence map›Paper›PMID 34692838›Full record

ArticleBioMed research international2021

Assessment of Low Bone Mineral Density in Untreated Patients with Takayasu's Arteritis.

Lingfei Mo, Jing Wang, BoMiao Ju, Yanhua Wang, Jing Luo, Juan Tian, Lan He

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2021. 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 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  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

7 authors at 1 institution in 1 country.

Lingfei MoDepartment of Rheumatology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China.ORCID https://orcid.org/0000-0002-1335-7522
Jing WangDepartment of Rheumatology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China.ORCID https://orcid.org/0000-0001-6351-6758
BoMiao JuDepartment of Rheumatology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China.
Yanhua WangDepartment of Rheumatology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China.
Jing LuoDepartment of Rheumatology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China.
Juan TianDepartment of Rheumatology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China.
Lan HeDepartment of Rheumatology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China.ORCID https://orcid.org/0000-0001-7464-3250
First Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic inflammation affects bone metabolism and accelerates bone loss. This study is aimed at analyzing the prevalence of low bone mineral density (LBMD) in patients with untreated Takayasu's arteritis (TA) and risk factors. Forty untreated TA patients were enrolled, including 38 premenopausal women and 2 men before 50 years old. The control group included 60 age- and gender-matched healthy persons. Bone mineral density (BMD) of lumbar vertebrae and hip in patients with TA and the control group was measured by the dual-energy X-ray method. Serum 25OHD and

Indexed as

AdultBone Diseases, MetabolicCase-Control StudiesCholesterol, HDLCholesterol, LDLFemaleHumansInflammationLipid MetabolismLumbar VertebraeMaleTakayasu ArteritisVitamin D25-hydroxyvitamin DCholesterol, HDLCholesterol, LDLVitamin D

Identifiers

PMID34692838
PMCPMC8528581
OpenAlexW3206577413

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.