Evidence map›Paper›PMID 40213645›Full record

ArticlePrecision clinical medicine2025

Degree of joint risk factor control and premature mortality in hypertensive participants.

Jian Zhou, Minghao Kou, Rui Tang, Xuan Wang, Hao Ma, Xiang Li, Yoriko Heianza, Lu Qi

Abstract read
In one paragraph

Article in Precision clinical medicine, 2025. 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. 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

8 authors.

Jian ZhouDepartment of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha 410011, China.
Minghao KouDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA.
Rui TangDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA.
Xuan WangDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA.
Hao MaDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA.
Xiang LiDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA.
Yoriko HeianzaDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA.
Lu QiDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA.ORCID https://orcid.org/0000-0002-8041-7791

Funding

Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI JING CHEN · 2016 to 2026
$25.3M
RISK FACTORS FOR CVD IN WOMENR01HL034594 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI JoAnn Elisabeth Manson, Lu Qi · 1985 to 2026
$13.8M
Nutrigenetics and Nutrigenomics for Precision Weight-Loss Diet InterventionsR01DK115679 · NIDDK · TULANE UNIVERSITY OF LOUISIANA · PI Lu Qi · 2018 to 2026
$5.3M
Common Genetic Variation and Quantitative Diabetes TraitsR01DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2008 to 2014
$5.0M
Genetic Markers of CHD in Type 2 DiabetesR01HL071981 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI QI, LU · 2003 to 2012
$4.9M
Obesity Genes, Energy Regulation in Response to Weight-Loss DietsR01DK091718 · NIDDK · TULANE UNIVERSITY OF LOUISIANA · PI QI, LU · 2012 to 2021
$4.5M
Weight-Loss Diet Intervention on Cardiometabolic Factors of Gut MicrobiotaR01DK100383 · NIDDK · TULANE UNIVERSITY OF LOUISIANA · PI QI, LU · 2014 to 2024
$4.2M
TOPMed Omics of Type 2 Diabetes and Quantitative TraitsUM1DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MANNING, ALISA KNODLE · 2021 to 2025
$3.8M
Rare Sequence Variation and Diabetes Quantitative TraitsU01DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2015 to 2019
$3.6M
Genome-wide interactions with diet patterns on long-term weight changeR21HL126024 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI QI, LU · 2015 to 2016
$421k
NHLBI NIH HHS R01 HL034594NHLBI NIH HHS R01 HL071981NHLBI NIH HHS R21 HL126024NIDDK NIH HHS R01 DK078616NIDDK NIH HHS R01 DK091718NIDDK NIH HHS R01 DK100383NIDDK NIH HHS R01 DK115679NIDDK NIH HHS U01 DK078616NIDDK NIH HHS UM1 DK078616NIGMS NIH HHS P20 GM109036
6 · The paper itself

Abstract

Objective: To investigate whether the excess premature mortality risk related to hypertension could be reduced or eliminated through joint risk factor control. Methods: A total of 70 898 hypertensive participants and 224 069 matched non-hypertensive participants without cancer or cardiovascular disease (CVD) at baseline were included and followed from 2006 to 2022. The degree of joint risk factor control was evaluated based on the major cardiovascular risk factors, including blood pressure, body mass index, waist circumference, low-density lipoprotein cholesterol, glycated haemoglobin, albuminuria, smoking, and physical activity. Cox proportional hazards models were used to investigate the relationship between degree of risk factor control and premature mortality. Results: Each additional risk factor control was associated with a 15%, 12%, 24%, and 11% lower risk of premature all-cause mortality, premature cancer mortality, premature CVD mortality, and premature other mortality, respectively. Optimal risk factor control (≥6 risk factors) was associated with a 55% [hazard ratio (HR): 0.45, 95% confidence interval (CI): 0.40-0.51], 50% (HR: 0.50, 95% CI: 0.41-0.60), 67% (HR: 0.33, 95% CI: 0.26-0.42), and 50% (HR: 0.50, 95% CI: 0.40-0.62) lower risk of premature all-cause mortality, premature cancer mortality, premature CVD mortality, and premature other mortality, respectively. Hypertensive participants with 3, 2, 4, and 2 or more controlled risk factors showed no excess risk of premature all-cause mortality, premature cancer mortality, premature CVD mortality, and premature other mortality, respectively, compared to matched non-hypertensive participants. Conclusions: In this cohort study of UK Biobank participants, degree of joint risk factor control shows gradient inverse association with risk of premature mortality in hypertensive participants; optimal risk factor control may eliminate hypertension-related excess risk of premature mortality.

Indexed as

hypertensive participantspremature mortalityrisk factor controlUK Biobank

Identifiers

PMID40213645
PMCPMC11979693

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