Evidence map›Paper›PMID 30646822›Full record

ArticleCirculation research2019

Type 2 Diabetes and Hypertension.

Dianjianyi Sun, Tao Zhou, Yoriko Heianza, Xiang Li, Mengyu Fan, Vivian A Fonseca, Lu Qi

Abstract read
In one paragraph

Article in Circulation research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 133 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
133citing papers in PubMed, 7 pooled it
–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

133 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Hypertension in Adults With Diabetes in Southeast Asia: A Systematic Review.Journal of clinical hypertension (Greenwich, Conn.) · 2025
    Pooled it
  5. Guideline
  6. Guideline
  7. Pooled it
  8. Trial
  9. Trial
  10. Trial
  11. Association of hypertension specialist treatment with blood pressure control in Japanese primary care: The J-DOME study.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. The dominant driver paradigm of cardiometabolic care.American journal of preventive cardiology · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Article

73 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Dianjianyi SunFrom the Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA (D.S., T.Z., Y.H., X.L., L.Q.).
Tao ZhouFrom the Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA (D.S., T.Z., Y.H., X.L., L.Q.).
Yoriko HeianzaFrom the Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA (D.S., T.Z., Y.H., X.L., L.Q.).
Xiang LiFrom the Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA (D.S., T.Z., Y.H., X.L., L.Q.).
Mengyu FanDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China (M.F.).
Vivian A FonsecaSection of Endocrinology and Metabolism, Tulane University School of Medicine, New Orleans, LA (V.A.F.).
Lu QiFrom the Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA (D.S., T.Z., Y.H., X.L., L.Q.).

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2012 to 2026
$69.1M
Transgenic CoreP30DK046200 · NIDDK · TUFTS MEDICAL CENTER · PI GREENBERG, ANDREW S, PERISSI, VALENTINA · 1992 to 2021
$25.0M
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
Dissecting the impact of forced displacement on Type Two DiabetesR21TW010790 · FIC · LEBANESE AMERICAN UNIVERSITY · PI QI, LU, ZALLOUA, PIERRE · 2018 to 2019
$308k
FIC NIH HHS R21 TW010790Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NHLBI NIH HHS R01 HL034594NHLBI NIH HHS R01 HL071981NHLBI NIH HHS R21 HL126024NIDDK NIH HHS P30 DK046200NIDDK 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 U54 GM104940
6 · The paper itself

Abstract

rationaleIn observational studies, type 2 diabetes mellitus (T2D) has been associated with an increased risk of hypertension, and vice versa; however, the causality between these conditions remains to be determined.

objectivesThis population-based prospective cohort study sought to investigate the bidirectional causal relations of T2D with hypertension, systolic and diastolic blood pressure (BP) using Mendelian randomization (MR) analysis. METHODS AND

resultsAfter exclusion of participants free of a history of heart failure, cardiovascular disease, cardiac procedures, and non-T2D diabetes mellitus, a total of 318 664 unrelated individuals with qualified genotyping data of European descent aged 37 to 73 from UK Biobank were included. The genetically instrumented T2D and hypertension were constructed using 134 and 233 single nucleotide polymorphisms, respectively. Seven complementary MR methods were applied, including inverse-variance weighted method, 2 median-based methods (simple and weighted), MR-Egger, MR-robust adjusted profile scores, MR-Pleiotropy Residual Sum and Outlier, and multivariate MR. The genetically instrumented T2D was associated with risk of hypertension (odds ratio, 1.07 [95% CI, 1.04-1.10], P=3.4×10

conclusionsT2D may causally affect hypertension, whereas the relationship from hypertension to T2D is unlikely to be causal. These findings suggest the importance of keeping an optimal glycemic profile in general populations, and BP screening and monitoring, especially systolic BP, in patients with T2D.

Indexed as

AdultAgedDiabetes Mellitus, Type 2DiastoleFemaleHumansHypertensionMaleMendelian Randomization AnalysisMiddle AgedProspective StudiesSystoleblood pressuredatabasediabetes mellitus, type 2geneticshypertensionMendelian randomization analysismetabolic syndrome

Identifiers

PMID30646822
PMCPMC6417940

What OpenQuestion holds

Textmetadata
LicenceTDM
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.