Evidence map›Paper›PMID 36750610›Full record

ArticleHypertension research : official journal of the Japanese Society of Hypertension2023

Trends in blood pressure and hypertension among older adults and oldest-old individuals in China between 2008-2018.

Siyue Tan, Dong Liu, Yuyi Zhang, Shengnan Li, Ke Zhang, Hui Zuo

Abstract read
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In one paragraph

Article in Hypertension research : official journal of the Japanese Society of Hypertension, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

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  8. Effect of exposures to multiple metals on blood pressure and hypertension in the elderly: a community-based study.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2024
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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

6 authors at 1 institution in 1 country.

Siyue TanSchool of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.
Dong LiuSchool of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.
Yuyi ZhangSchool of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.
Shengnan LiSchool of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.
Ke ZhangSchool of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.
Hui ZuoSchool of Public Health, Suzhou Medical College of Soochow University, Suzhou, China. zuohui@suda.edu.cn.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to assess the trends in blood pressure (BP) levels and the corresponding prevalence of hypertension among elderly individuals in China from 2008 to 2018. This serial cross-sectional analysis was based on data from the last four waves of the Chinese Longitudinal Healthy Longevity Survey (N = 38086). Linear regression analyses were performed to assess linear trends in mean systolic blood pressure (SBP), diastolic blood pressure (DBP), and pulse pressure (PP). Logistic regression was used to examine trends in the prevalence of hypertension across the four waves. An ordinal regression model was used to assess risk factors for BP status. From 2008 to 2018, an increase of 0.8-3.3% in BP and at least an 8.2% increase in the prevalence of hypertension were observed among older adults and oldest-old adults (aged 65-79 years and ≥ 80 years) (all P

Indexed as

HypertensionAgedAged, 80 and overBlood PressureBlood Pressure DeterminationChinaCross-Sectional StudiesFemaleHumansMaleBlood pressureChina.ElderlyHypertensionTrend

Identifiers

PMID36750610
OpenAlexW4319438858

What OpenQuestion holds

Textmetadata
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.