Evidence map›Paper›PMID 35935640›Full record

ArticleFrontiers in cardiovascular medicine2022

Accuracy Evaluation of Carotid-Femoral Pulse Wave Velocity Estimated by Smart Terminal Watch.

Ningling Sun, Luyan Wang, Yang Xi, Hongyi Wang, Fan Yang, Yuanyuan Chen, Jing Liu, Yuxian Cui, Zhechun Zeng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Ningling SunDepartment of Hypertension, Peking University People's Hospital, Beijing, China.
Luyan WangDepartment of Hypertension, Peking University People's Hospital, Beijing, China.
Yang XiDepartment of Hypertension, Peking University People's Hospital, Beijing, China.
Hongyi WangDepartment of Hypertension, Peking University People's Hospital, Beijing, China.
Fan YangDepartment of Hypertension, Peking University People's Hospital, Beijing, China.
Yuanyuan ChenDepartment of Hypertension, Peking University People's Hospital, Beijing, China.
Jing LiuDepartment of Hypertension, Peking University People's Hospital, Beijing, China.
Yuxian CuiDepartment of Hypertension, Peking University People's Hospital, Beijing, China.
Zhechun ZengBeijing Institute of Heart Lung and Blood Vessel Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To evaluate the accuracy of the smartwatch in estimating carotid-femoral pulse wave velocity (cfPWV). A cohort of gender-matched volunteers aged 18-80 years were recruited. At the sitting and supine positions, cfPWV was measured alternately by smartwatch and CompliorAnalyse, for each participant, and nine sets of data were collected from each participant with a 60 s interval between measurements. The accuracy of cfPWV measurement for smartwatches was assessed using mean error (ME) and mean absolute error (MAE), while the consistency of the two methods was assessed using the Bland-Altman analysis and concordance class correlation. A total of 347 participants were enrolled. The mean cfPWV was 9.01 ± 2.29 m/s measured by CompliorAnalyse and 9.06 ± 1.94 m/s by smartwatch. The consistency correlation coefficient (CCC) was 0.9045 (95% CI 0.8853-0.9206), the ME was 0.046 ± 0.92, and the MAE was 0.66 (95% CI 0.59-0.73). Bland-Altman analysis showed that the error of 95% samples was in the range between -1.77 m/s and 1.86 m/s. The Kappa value of cfPWV greater than 10 m/s was 0.79, the area under the ROC curve was 0.97 (

Indexed as

accuracyarterial stiffnesscervical-femoral pulse wave velocityComplior arteriosclerosis analyzersmartwatch

Identifiers

PMID35935640
PMCPMC9353553

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