Evidence map›Paper›PMID 42535282›Full record

ArticleCirculation. Population health and outcomes2026

Blood Pressure Outcomes Among US Veterans Initiating Hypertension Treatment, 2014 to 2023.

Catherine G Derington, Haojia Li, Yue Zhang, Chao-Chin Lu, Byron C Jaeger, Jordana B Cohen, Paul Muntner, Daichi Shimbo, William C Cushman, Dan R Berlowitz and 5 more

Abstract read
In one paragraph

Article in Circulation. Population health and outcomes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Catherine G DeringtonDepartment of Medicine, University of Colorado School of Medicine, Aurora (C.G.D., S.R.).ORCID 0000-0001-7382-4607
Haojia LiDepartment of Internal Medicine (H.L., Y.Z., C.-C.L., A.F.M.), University of Utah School of Medicine, Salt Lake City.ORCID 0000-0002-1295-4341
Yue ZhangDepartment of Internal Medicine (H.L., Y.Z., C.-C.L., A.F.M.), University of Utah School of Medicine, Salt Lake City.ORCID 0000-0002-4124-4816
Chao-Chin LuDepartment of Internal Medicine (H.L., Y.Z., C.-C.L., A.F.M.), University of Utah School of Medicine, Salt Lake City.
Byron C JaegerDepartment of Biostatistics, Wake Forest School of Medicine, Winston-Salem, NC (B.C.J.).ORCID 0000-0001-7399-2299
Jordana B CohenDepartment of Medicine, Renal-Electrolyte and Hypertension Division, Perelman School of Medicine at the University of Pennsylvania, Philadelphia (J.B.C.).ORCID 0000-0003-4649-079X
Paul MuntnerDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham (P.M.).
Daichi ShimboColumbia Hypertension Lab, Division of Cardiology, Department of Medicine, Columbia University, New York, NY (D.S.).ORCID 0000-0001-6302-8834
William C CushmanDepartment of Preventive Medicine, University of Tennessee Health Science Center, Memphis (W.C.C.).ORCID 0000-0001-7162-2972
Dan R BerlowitzDepartment of Public Health, University of Massachusetts Lowell (D.R.B.).
Sridharan RaghavanDepartment of Medicine, University of Colorado School of Medicine, Aurora (C.G.D., S.R.).ORCID 0000-0003-0643-4873
P Michael HoInstitute for Health Research, Kaiser Permanente Colorado, Aurora (P.M.H.).ORCID 0000-0002-7775-6266
Leslie R M HausmannVA Pittsburgh Healthcare System and University of Pittsburgh School of Medicine, PA (L.R.M.H.).ORCID 0000-0002-3909-6009
Adam P BressDepartment of Population Health Sciences (A.P.B.), University of Utah School of Medicine, Salt Lake City.ORCID 0000-0002-2259-5039
April F MohantyDepartment of Internal Medicine (H.L., Y.Z., C.-C.L., A.F.M.), University of Utah School of Medicine, Salt Lake City.ORCID 0000-0003-4510-9758

Funding

CTSA UM1 Program at University of UtahUM1TR004409 · NCATS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI RACHEL HESS, Jennifer Juhl Majersik · 2023 to 2026
$21.9M
Continuation of the Coordinating Center for the Chronic Renal Insufficiency Cohort (CRIC) StudyU24DK060990 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI Amanda Hyre Anderson, Laura M Dember · 2018 to 2026
$21.5M
Targeting Skeletal Muscle Perfusion and Oxidative Capacity in HFpEFR01HL155599 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI ZAMANI, PAYMAN · 2021 to 2025
$3.9M
Cardiovascular Risk, Vascular and Kidney Damage in COVID-19 SurvivorsR01HL157108 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI JULIO ALONSO CHIRINOS MEDINA, Jordana B. Cohen · 2022 to 2026
$3.9M
Multidrug Metabolic Approach to Improve Exercise and Skeletal Muscle Oxidative Capacity in HFpEFR01HL157264 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI ZAMANI, PAYMAN · 2021 to 2025
$3.5M
Informing optimal first-line antihypertensive therapy: A rigorous comparative effectiveness analysis of ARBs vs. ACEIs on long-term risk of dementia, cancer, heart disease, and quality of lifeR01AG074989 · NIA · UNIVERSITY OF PENNSYLVANIA · PI BRESS, ADAM P, COHEN, JORDANA B. · 2022 to 2025
$3.3M
Patient Level Prediction of Clinical Outcomes and Cost-Effectiveness in SPRINT (Optimize-SPRINT)R01HL139837 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BRESS, ADAM P, MORAN, ANDREW EDWARD · 2018 to 2021
$3.2M
Blockade of calcium channels and beta adrenergic receptors for physiologic abnormalities in heart failure with preserved ejection fraction (BLOCK HFpEF)R01HL153646 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI COHEN, JORDANA B. · 2020 to 2024
$3.2M
Guiding next steps for SPRINT-MIND implementation: Identifying high-benefit subgroups and comparative effects of ARB- vs. ACEI-based regimensR01AG065805 · NIA · UNIVERSITY OF UTAH · PI BRESS, ADAM P · 2020 to 2023
$2.7M
HeartShare: Next-Generation Phenomics to Define Heart Failure Subtypes and Treatment Targets - Clinical CentersU01HL160277 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI JULIO ALONSO CHIRINOS MEDINA · 2021 to 2026
$1.7M
Using pharmacoepidemiology to optimize antihypertensive medication use to prevent aging-related multimorbidity: Midcareer investigator award in patient-oriented research and mentoring.K24AG080168 · NIA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Adam P Bress · 2023 to 2026
$793k
HSRD VA I01 HX003513NCATS NIH HHS UM1 TR004409NHLBI NIH HHS R01 HL139837NHLBI NIH HHS R01 HL153646NHLBI NIH HHS R01 HL155599NHLBI NIH HHS R01 HL157108NHLBI NIH HHS R01 HL157264NHLBI NIH HHS U01 HL160277NIA NIH HHS K24 AG080168NIA NIH HHS R01 AG065805NIA NIH HHS R01 AG074989NIDDK NIH HHS U24 DK060990
6 · The paper itself

Abstract

backgroundAmid persistently low blood pressure (BP) control rates and pervasive therapeutic inertia, we evaluated trends in pre- and posttreatment BP before and after 2 major disruptions (the 2017 target‑lowering guideline and the COVID‑19 pandemic) to assess their impact on early hypertension management.

methodsThis retrospective cohort study of national Veterans Health Administration data included outpatient adults newly diagnosed with hypertension and starting antihypertensive medication between November 13, 2014, and May 31, 2023 (index date). Patients were stratified into 3 periods corresponding to preguideline/prepandemic (Period 1), postguideline/prepandemic (Period 2), and postguideline/postpandemic (Period 3), and into 3 pretreatment systolic BP (SBP) groups based on the average of ≥2 measurements in the 90-day preindex period (<140, 140-160, or ≥160 mm Hg). Across periods, multivariable analyses evaluated: (1) mean posttreatment SBP (mean of measurements from days 180-365 postindex); and (2) posttreatment BP control (<140/90 or <130/80 mm Hg).

resultsAmong 271 496 Veterans (mean age, 62 years; 92% male; 66% non-Hispanic White), 39%, 32%, and 29% were in Periods 1, 2, and 3, respectively. Adjusted posttreatment SBP across periods was 128, 135, and 142 mm Hg for the <140, 140 to 160, and ≥160 groups, respectively. Rates of posttreatment BP control <140/90 mm Hg across Periods 1, 2, and 3, respectively, were 82.3%, 83.3%, and 84.2% (SBP <140 group); 64.1%, 66.1%, and 67.3% (140-160 group); and 46.4%, 47.0%, and 48.6% (≥160 group). For BP control <130/80 mm Hg, rates were 38.2%, 40.0%, and 39.9% (SBP <140 group); 20.7%, 22.0%, and 22.6% (140-160 group); and 15.1%, 15.4%, and 15.2% (≥160 group).

conclusionsDespite the target-lowering guideline and the care-disrupting pandemic, BP levels and control among Veterans remained largely unchanged. At 1 year, only half to two-thirds achieved BP <140/90 mm Hg, and few reached <130/80 mm Hg, underscoring persistent clinical inertia and the need to improve early hypertension management in the Veterans Health Administration.

Indexed as

Antihypertensive AgentsBlood PressureCOVID-19HypertensionVeteransAgedFemaleHumansMaleMiddle AgedRetrospective StudiesTreatment OutcomeUnited StatesAntihypertensive Agentsadulthypertensionmiddle agedoutpatientspandemics

Identifiers

PMID42535282
PMCPMC13451021

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.