Evidence map›Paper›PMID 38854854›Full record

ArticleInnovation in aging2024

Age-Specific Association Between Visit-to-Visit Blood Pressure Variability and Hearing Loss: A Population-Based Cohort Study.

Xinyue Guo, Renjian Sun, Xiaorui Cui, Yahang Liu, Yating Yang, Ruilang Lin, Hui Yang, Jingyi Wu, Jiaqin Xu, Yuwei Peng and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Innovation in aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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 synthesis or guideline pooled it.

  1. Pooled it
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

13 authors.

Xinyue GuoDepartment of Biostatistics, National Health Commission Key Laboratory of Health Technology Assessment, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0002-5712-2514
Renjian SunDepartment of Health Management, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Xiaorui CuiDepartment of Biostatistics, National Health Commission Key Laboratory of Health Technology Assessment, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China.
Yahang LiuDepartment of Biostatistics, National Health Commission Key Laboratory of Health Technology Assessment, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China.
Yating YangDepartment of Biostatistics, National Health Commission Key Laboratory of Health Technology Assessment, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China.
Ruilang LinDepartment of Biostatistics, National Health Commission Key Laboratory of Health Technology Assessment, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China.
Hui YangDepartment of Biostatistics, National Health Commission Key Laboratory of Health Technology Assessment, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China.
Jingyi WuDepartment of Biostatistics, National Health Commission Key Laboratory of Health Technology Assessment, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China.
Jiaqin XuDepartment of Biostatistics, National Health Commission Key Laboratory of Health Technology Assessment, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China.
Yuwei PengDepartment of Biostatistics, National Health Commission Key Laboratory of Health Technology Assessment, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China.
Xueying ZhengDepartment of Biostatistics, National Health Commission Key Laboratory of Health Technology Assessment, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China.
Guoyou QinDepartment of Biostatistics, National Health Commission Key Laboratory of Health Technology Assessment, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China.
Jiaohua ChenDepartment of Health Management, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Hearing loss is common and undertreated, and the impact of blood pressure variability (BPV) on the development of hearing loss remains unclear. We aimed to examine the age-specific association between visit-to-visit BPV and hearing loss. Research Design and Methods: This nationally representative cohort study included 3,939 adults over 50 years from the Health and Retirement Study in the United States. Variabilities of systolic blood pressure (SBP) and diastolic blood pressure (DBP) were assessed by standard deviation ( Results: During the follow-up up to 7.0 years, 700 participants developed hearing loss. Among people aged under 65 years, we observed a 36% increased risk of hearing loss with per- Discussion and Implications: Higher visit-to-visit variabilities of SBP were associated with an increased risk of hearing loss in middle-aged adults (50-65 years). Intervention in early BPV may help decrease hearing loss in adults aged over 50 years.

Indexed as

Blood pressureGeneralized Cox additive modelHearing healthVisit-to-visit variability

Identifiers

PMID38854854
PMCPMC11154138

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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.