Evidence map›Paper›PMID 37982140›Full record

ArticleHuman vaccines & immunotherapeutics2023

Acceptance of COVID-19 boosters among hypertensive patients in China: A multicenter cross-sectional study.

Ying Yan, Qingyuan Chen, Abudulimutailipu Nuermaimaiti, Yingzi Xiao, Le Chang, Huimin Ji, Huizhen Sun, Qinggang Song, Yuanfeng Gao, Junjie Xu and 1 more

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

Article in Human vaccines & immunotherapeutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 31% 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, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  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

11 authors at 8 institutions in 2 countries.

Ying YanNational Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing,P.R. China.
Qingyuan ChenThe First Clinical Medical College, Capital Medical University, Beijing, P.R. China.
Abudulimutailipu NuermaimaitiNational Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing,P.R. China.
Yingzi XiaoNational Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing,P.R. China.
Le ChangNational Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing,P.R. China.
Huimin JiNational Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing,P.R. China.
Huizhen SunNational Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing,P.R. China.
Qinggang SongDepartment of Cardiology, Xi'an No.1 hospital, Xi'an, Shaanxi,P.R. China.
Yuanfeng GaoHeart Center & Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing, P.R. China.
Junjie XuClinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong, P.R. China.
Lunan WangNational Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing,P.R. China.
Beijing Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNNational Center for Clinical Laboratories · CNCapital Medical University · CNCapital University · USPeking Union Medical College Hospital · CNPeking University Shenzhen Hospital · CNWuhan No.1 Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension, a prevalent chronic disease, has been associated with increased COVID-19 severity. To promote the COVID-19 booster vaccination of hypertensive patients, this study investigated the willingness to receive boosters and the related influencing factors based on the health belief model (HBM model). Between June and October 2022, 453 valid questionnaires were collected across three Chinese cities. The willingness to receive a booster vaccination was 72.2%. The main factors that influenced the willingness of patients with hypertension to receive a booster shot were male (χ

Indexed as

COVID-19HypertensionChinaChronic DiseaseCross-Sectional StudiesFemaleHumansMaleVaccinationCOVID-19 boosterhealth belief modelHypertensionwillingnesswillingness to pay

Identifiers

PMID37982140
PMCPMC10760352
OpenAlexW4388829974

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.