Evidence map›Paper›PMID 37432331›Full record

ArticleAmerican journal of hypertension2023

Observational and Genetic Evidence for Bidirectional Effects Between Red Blood Cell Traits and Diastolic Blood Pressure.

Zhen He, Zekai Chen, Martin H de Borst, Qingying Zhang, International Consortium of Blood Pressure, Harold Snieder, Chris H L Thio

Abstract read
In one paragraph

Article in American journal of hypertension, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Zhen HeDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0001-8901-8167
Zekai ChenDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Martin H de BorstDepartment of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Qingying ZhangDepartment of Preventive Medicine, Shantou University Medical College, Shantou, Guangdong, PR China.
International Consortium of Blood Pressure
Harold SniederDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Chris H L ThioDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0003-2623-7172

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have found associations of red blood cell (RBC) traits (hemoglobin and RBC count) with blood pressure; whether these associations are causal is unknown.

methodsWe performed cross-sectional analyses in the Lifelines Cohort Study (n = 167,785). Additionally, we performed bidirectional 2 sample Mendelian randomization (MR) analyses to explore the causal effect of the 2 traits on systolic (SBP) and diastolic blood pressure (DBP), using genetic instrumental variables regarding hemoglobin and RBC identified in UK Biobank (n = 350,475) and International Consortium of Blood Pressure studies for SBP and DBP (n = 757,601).

resultsIn cross-sectional analyses, we observed positive associations with hypertension and blood pressure for both hemoglobin (odds ratio [OR] = 1.18, 95% confidence interval [CI]: 1.16-1.20 for hypertension; B = 0.11, 95% CI: 0.11-0.12 for SBP; B = 0.11, 95% CI: 0.10-0.11 for DBP, all per SD) and RBC (OR = 1.14, 95% CI: 1.12-1.16 for hypertension; B = 0.11, 95% CI: 0.10-0.12 for SBP; B = 0.08, 95% CI: 0.08-0.09 for DBP, all per SD). MR analyses suggested that higher hemoglobin and RBC cause higher DBP (inverse-variance weighted B = 0.11, 95% CI: 0.07-0.16 for hemoglobin; B = 0.07, 95% CI: 0.04-0.10 for RBC, all per SD). Reverse MR analyses (all per SD) suggested causal effects of DBP on both hemoglobin (B = 0.06, 95% CI: 0.03-0.09) and RBC (B = 0.08, 95% CI: 0.04-0.11). No significant effects on SBP were found.

conclusionsOur results suggest bidirectional causal relationships of hemoglobin and RBC with DBP, but not with SBP.

Indexed as

HypertensionBlood PressureCohort StudiesCross-Sectional StudiesErythrocytesGenome-Wide Association StudyHemoglobinsHumansHemoglobinsblood pressurehemoglobinhypertensionMendelian randomizationred blood cell count

Identifiers

PMID37432331
PMCPMC10502771

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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.