Evidence map›Paper›PMID 35700163›Full record

ArticlePloS one2022

Hemodynamic differences between women and men with elevated blood pressure in China: A non-invasive assessment of 45,082 adults using impedance cardiography.

César Caraballo, Shiwani Mahajan, Jianlei Gu, Yuan Lu, Erica S Spatz, Rachel P Dreyer, MaoZhen Zhang, NingLing Sun, Yihong Ren, Xin Zheng and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

14 authors at 6 institutions in 2 countries.

César CaraballoCenter for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut, United States of America.ORCID 0000-0002-4557-9437
Shiwani MahajanCenter for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut, United States of America.ORCID 0000-0002-5617-489X
Jianlei GuSJTU-Yale Joint Center for Biostatistics, School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Yuan LuCenter for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut, United States of America.
Erica S SpatzCenter for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut, United States of America.
Rachel P DreyerDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States of America.
MaoZhen ZhangiKang Healthcare Group, Inc., Shanghai, China.
NingLing SunDepartment of Hypertension at Heart Center, Peking University People's Hospital, Beijing, China.
Yihong RenThe First Medical Center of Chinese PLA General Hospital, Beijing, China.
Xin ZhengNational Clinical Research Center of Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Hongyu ZhaoSJTU-Yale Joint Center for Biostatistics, School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Hui LuSJTU-Yale Joint Center for Biostatistics, School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Zheng J MaSJTU-Yale Joint Center for Biostatistics, School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Harlan M KrumholzCenter for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut, United States of America.
Shanghai Jiao Tong University · CNYale New Haven Hospital · USChinese Academy of Medical Sciences & Peking Union Medical College · CNChinese PLA General Hospital · CNPeking University · CNYale University · US

Funding

Yale Transdisciplinary Collaborative Center for Health Disparities Research (YALE-TCC)U54MD010711 · NIMHD · YALE UNIVERSITY · PI NUNEZ-SMITH, MARCELLA · 2016 to 2021
$14.4M
Yale Scholars in Implementation Science (YSIS)K12HL138037 · NHLBI · YALE UNIVERSITY · PI SHARIFI, MAHNOOSH · 2017 to 2021
$3.0M
SCH: INT: A Context-aware Cuff-less Wearable Ambulatory Blood Pressure Monitor using a Bio-Impedance Sensor ArrayR01EB028106 · NIBIB · TEXAS ENGINEERING EXPERIMENT STATION · PI JAFARI, ROOZBEH · 2018 to 2021
$1.2M
NHLBI NIH HHS K12 HL138037NIBIB NIH HHS R01 EB028106NIMHD NIH HHS U54 MD010711
6 · The paper itself

Abstract

backgroundWhether there are sex differences in hemodynamic profiles among people with elevated blood pressure is not well understood and could guide personalization of treatment. METHODS AND

resultsWe described the clinical and hemodynamic characteristics of adults with elevated blood pressure in China using impedance cardiography. We included 45,082 individuals with elevated blood pressure (defined as systolic blood pressure of ≥130 mmHg or a diastolic blood pressure of ≥80 mmHg), of which 35.2% were women. Overall, women had a higher mean systolic blood pressure than men (139.0 [±15.7] mmHg vs 136.8 [±13.8] mmHg, P<0.001), but a lower mean diastolic blood pressure (82.6 [±9.0] mmHg vs 85.6 [±8.9] mmHg, P<0.001). After adjusting for age, region, and body mass index, women <50 years old had lower systemic vascular resistance index (beta-coefficient [β] -31.7; 95% CI: -51.2, -12.2) and higher cardiac index (β 0.07; 95% CI: 0.04, 0.09) than men of their same age group, whereas among those ≥50 years old women had higher systemic vascular resistance index (β 120.4; 95% CI: 102.4, 138.5) but lower cardiac index (β -0.15; 95% CI: -0.16, -0.13). Results were consistent with a propensity score matching sensitivity analysis, although the magnitude of the SVRI difference was lower and non-significant. However, there was substantial overlap between women and men in the distribution plots of these variables, with overlapping areas ranging from 78% to 88%.

conclusionsOur findings indicate that there are sex differences in hypertension phenotype, but that sex alone is insufficient to infer an individual's profile.

Indexed as

Cardiography, ImpedanceHypertensionBlood PressureDiastoleFemaleHemodynamicsHumansMale

Identifiers

PMID35700163
PMCPMC9197037
OpenAlexW4282933897

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.