Evidence map›Paper›PMID 34513942›Full record

ArticleFrontiers in cardiovascular medicine2021

Using Latent Class Analysis to Identify Different Risk Patterns for Patients With Masked Hypertension.

Ming Fu, Xiangming Hu, Shixin Yi, Shuo Sun, Ying Zhang, Yingqing Feng, Qingshan Geng, Yingling Zhou, Haojian Dong

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

Article in Frontiers in cardiovascular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 82% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

9 authors at 3 institutions in 1 country.

Ming FuDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, The First Affiliated Hospital of South China University of Technology, Guangzhou, China.
Xiangming HuDepartment of Cardiology, The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
Shixin YiDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, The First Affiliated Hospital of South China University of Technology, Guangzhou, China.
Shuo SunDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, The First Affiliated Hospital of South China University of Technology, Guangzhou, China.
Ying ZhangDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, The First Affiliated Hospital of South China University of Technology, Guangzhou, China.
Yingqing FengDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, The First Affiliated Hospital of South China University of Technology, Guangzhou, China.
Qingshan GengDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, The First Affiliated Hospital of South China University of Technology, Guangzhou, China.
Yingling ZhouDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, The First Affiliated Hospital of South China University of Technology, Guangzhou, China.
Haojian DongDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, The First Affiliated Hospital of South China University of Technology, Guangzhou, China.
Guangdong Academy of Medical Sciences · CNSouth China University of Technology · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

community-based studylatent class analysismasked hypertensionmetabolic risk factorrisk patterns

Identifiers

PMID34513942
PMCPMC8424076
OpenAlexW3195774087

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.