Evidence map›Paper›PMID 36939804›Full record

ArticlePhenomics (Cham, Switzerland)2022

Low Concordance Between Blood Pressures Measured in Periodic Health Examinations and in a Workplace-Based Hypertension Management Program.

Jun-Xiang Chen, Yan-Feng Zhou, Tingting Geng, Simiao Chen, Shuohua Chen, Guodong Wang, Yan-Bo Zhang, Yi Wang, Zhou-Zheng Tu, Gang Liu and 2 more

Open access · greenAbstract read
In one paragraph

Article in Phenomics (Cham, Switzerland), 2022. 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
0.5field-weighted citation impact, top 34% 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, 3 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

12 authors at 2 institutions in 2 countries.

Jun-Xiang Chen *Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030 Hubei China.
Yan-Feng Zhou *Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030 Hubei China.
Tingting GengDepartment of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030 Hubei China.
Simiao ChenHeidelberg Institute of Global Health, Faculty of Medicine and University Hospital, Heidelberg University, 44883 Heidelberg, Germany.
Shuohua ChenDepartment of Cardiology, Kailuan General Hospital, North China University of Science and Technology, 57 Xinhua East Road, Tangshan, 063000 Hebei China.
Guodong WangDepartment of Cardiology, Kailuan General Hospital, North China University of Science and Technology, 57 Xinhua East Road, Tangshan, 063000 Hebei China.
Yan-Bo ZhangDepartment of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030 Hubei China.
Yi WangDepartment of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030 Hubei China.
Zhou-Zheng TuDepartment of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030 Hubei China.
Gang LiuDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430040 Hubei China.
Shouling WuDepartment of Cardiology, Kailuan General Hospital, North China University of Science and Technology, 57 Xinhua East Road, Tangshan, 063000 Hebei China.
An PanDepartment of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030 Hubei China.ORCID 0000-0002-1089-7945
Huazhong University of Science and Technology · CNNorth China University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poor adherence to standard protocols of blood pressure (BP) measurement in routine clinical practice leads to higher readings than "research-quality" measurements. Whether this phenomenon exists in periodic health examinations was unknown. We aimed to explore the concordance between BP measurements in periodic health examinations and those measured following a standard measurement protocol. We used data from the Kailuan Study, an ongoing longitudinal cohort study in China, of which participants received biennial health examinations in health management centers. In addition, BPs were measured following standard protocols in a workplace-based hypertension management program nested in the Kailuan Study. We compared BP readings of the same person between the two settings using generalized linear mixed-effects models. A total of 3988 men (the mean age was 44.9 years) had at least two BP measurements both in health examinations and management program with a time interval between the two settings that less than 90 days. The mean systolic blood pressures (SBP) and diastolic blood pressures (DBP) in health examinations were 4.2 (95% CI 3.9-4.5) mm Hg and 3.3 (95% CI 3.1-3.5) mm Hg higher than those in the management program, respectively. Bland-Altman analyses showed the wide agreement intervals ranging from - 27.7- to 36.5-mm Hg for SBP and - 18.3- to 24.7-mm Hg for DBP. In conclusion, BP measurements in periodic health examinations were generally higher than BPs measured following a standard protocol. Our findings highlight the importance of standard BP measurement to avoid overestimation of hypertension prevalence and treatment initiation. Supplementary Information: The online version contains supplementary material available at 10.1007/s43657-022-00067-w.

Indexed as

Blood pressure determinationGuideline adherenceHypertensionPhysical examination

Identifiers

PMID36939804
PMCPMC9712859
OpenAlexW4293828922

What Socratic 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 Socratic graph.