Evidence map›Paper›PMID 36143267›Full record

ArticleJournal of personalized medicine2022

Factors That May Impact the Noninvasive Measurement of Central Blood Pressure Compared to Invasive Measurement: The MATCHY Study.

Chen Chi, Yi Lu, Yiwu Zhou, Jiaxin Li, Yawei Xu, Yi Zhang

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
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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.

Chen ChiDepartment of Cardiology, Tongji University School of Medicine, Shanghai Tenth People's Hospital, Shanghai 200072, China.ORCID 0000-0003-3924-9535
Yi LuDepartment of Cardiology, The Sixth People's Hospital of Nantong, Nantong 226001, China.
Yiwu ZhouDepartment of Cardiology, Tongji University School of Medicine, Shanghai Tenth People's Hospital, Shanghai 200072, China.
Jiaxin LiDepartment of Cardiology, Tongji University School of Medicine, Shanghai Tenth People's Hospital, Shanghai 200072, China.
Yawei XuDepartment of Cardiology, Tongji University School of Medicine, Shanghai Tenth People's Hospital, Shanghai 200072, China.
Yi ZhangDepartment of Cardiology, Tongji University School of Medicine, Shanghai Tenth People's Hospital, Shanghai 200072, China.ORCID 0000-0001-8693-3554

Funding

Cardiac rehabilitation fund by the International Medical Exchange Foundation Z-2019-42-1908-3Clinical Research Plan of SHDC SHDC2020CR1040B, SHDC2020CR5009, SHDC2020CR5015-002National Natural Science Foundation of China 82170388Shanghai Technology Research Leader Program 21XD1434700
6 · The paper itself

Abstract

Calibration affects central blood pressure (BP) estimation accuracy. Factors influencing the accuracy of noninvasive central BP measurement, type of calibration method implemented (systolic/diastolic BP or mean/diastolic BP), and type of BP measurement device used (devices using the transfer function method, directly measurement from the carotid artery, and the transfer function-like method), were investigated. Fifty participants (aged 62.4 ± 8.9 years) without overt heart diseases were recruited. Invasive aortic and radial BP was measured. Simultaneously, noninvasive central BP was measured using three types of devices. The mean invasive aortic BP was 127 ± 19/95 ± 14 mmHg. Noninvasive central BP tended to be slightly lower than invasive BP, though without statistical significance. The type of calibration method did not significantly influence the noninvasive cSBP measurements (

Indexed as

blood pressure measurementcalibration methodscentral blood pressureinvasive blood pressure

Identifiers

PMID36143267
PMCPMC9505856

What OpenQuestion holds

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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.