Evidence map›Paper›PMID 34860174›Full record

ArticleEndocrine connections2022

Association of fasting plasma glucose change trajectory and risk of hypertension: a cohort study in China.

Yanmei Lou, Yanyan Zhang, Ping Zhao, Pei Qin, Changyi Wang, Jianping Ma, Xiaolin Peng, Hongen Chen, Dan Zhao, Shan Xu and 4 more

Open access · goldAbstract read
In one paragraph

Article in Endocrine connections, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

14 authors at 3 institutions in 1 country.

Yanmei LouDepartment of Health Management, Beijing Xiaotangshan Hospital, Beijing, People's Republic of China.
Yanyan ZhangDepartment of Epidemiology and Health Statistics, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.
Ping ZhaoDepartment of Health Management, Beijing Xiaotangshan Hospital, Beijing, People's Republic of China.
Pei QinDepartment of Epidemiology and Health Statistics, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.
Changyi WangDepartment of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, Guangdong, People's Republic of China.
Jianping MaDepartment of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, Guangdong, People's Republic of China.
Xiaolin PengDepartment of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, Guangdong, People's Republic of China.
Hongen ChenDepartment of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, Guangdong, People's Republic of China.
Dan ZhaoDepartment of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, Guangdong, People's Republic of China.
Shan XuDepartment of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, Guangdong, People's Republic of China.
Li WangDepartment of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, Guangdong, People's Republic of China.
Ming ZhangDepartment of Epidemiology and Health Statistics, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.
Dongsheng HuDepartment of Epidemiology and Health Statistics, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.
Fulan HuDepartment of Epidemiology and Health Statistics, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.
Shenzhen Nanshan Center for Chronic Disease Control · CNShenzhen University Health Science Center · CNTang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to assess the association between fasting plasma glucose (FPG) change trajectory and incident hypertension among Chinese population. This cohort study included 11,791 adults aged 18-80 years without hypertension at first entry and who completed at least four follow-ups between 2009 and 2016. Logistic regression was used to estimate odds ratios (ORs) and 95% CIs for the association between FPG change trajectory and probability of hypertension. During a median follow-up of 5.10 years (total person-years 61,887.76), hypertension developed in 2177 participants. After adjusting for baseline potential confounders, the probability of hypertension increased with the increasing FPG change trajectory (adjusted OR (aOR) 1.22, 95% CI 1.07-1.40), bell-shape trajectory (aOR 1.15, 95% CI 1.02-1.30) and other-shape trajectory (aOR 1.13, 95% CI 1.02-1.25) which showed a higher variability of FPG compared to the decreasing group. In addition, the increasing FPG change trajectory was associated with a higher probability of hypertension compared with the decreasing group regardless of age and BMI but was only significant in males and in those with normal FPG at baseline. Our study indicates that the increasing FPG change trajectory determines the highest risk of hypertension, demonstrating the importance of maintaining low and stable levels of FPG, especially in males and in those with normal FPG.

Indexed as

change trajectoryChinesefasting plasma glucosehypertension

Identifiers

PMID34860174
PMCPMC8789013
OpenAlexW3216468371

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.