Evidence map›Paper›PMID 40500230›Full record

SynthesisBMJ open2025

Arm Based on LEg blood pressures (ABLE-BP): can systolic ankle blood pressure measurements predict systolic arm blood pressure? An individual participant data meta-analysis from the INTERPRESS-IPD Collaboration.

Sinead T J McDonagh, Fiona C Warren, James Peter Sheppard, Kate Boddy, Leon Farmer, Helen Shore, Phil Williams, Philip S Lewis, A Jayne Fordham, Una Martin and 3 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMJ open, 2025. 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

13 authors.

Sinead T J McDonaghHealth & Community Sciences, University of Exeter Medical School, Exeter, UK.ORCID http://orcid.org/0000-0002-0283-3095
Fiona C WarrenHealth & Community Sciences, University of Exeter Medical School, Exeter, UK.ORCID http://orcid.org/0000-0002-3833-0182
James Peter SheppardNuffield Department of Primary Care Health Sciences, University of Oxford Division of Public Health and Primary Health Care, Oxford, UK.ORCID http://orcid.org/0000-0002-4461-8756
Kate BoddyInstitute for Health Research, University of Exeter Medical School, Exeter, UK.ORCID http://orcid.org/0000-0001-9135-5488
Leon FarmerPatient and Public Advisor, Exeter, UK.
Helen ShorePatient and Public Advisor, Exeter, UK.
Phil WilliamsPatient and Public Advisor, Exeter, UK.
Philip S LewisCardiology, Stepping Hill Hospital, Stockport, UK.
A Jayne FordhamMid Devon Medical Practice, Tiverton, UK.
Una MartinUniversity of Birmingham College of Medical and Dental Sciences, Birmingham, UK.
Victor AboyansDepartment of Cardiology, Dupuytren University Hospital, and Inserm 1094, Tropical Neuroepidemiology, Limoges, France.
Christopher Elles ClarkHealth & Community Sciences, University of Exeter Medical School, Exeter, UK c.e.clark@exeter.ac.uk.ORCID http://orcid.org/0000-0002-7526-3038
INTERPRESS-IPD Collaborators

Funding

UF FIELD CENTERU01AG022376 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI PAHOR, MARCO · 2003 to 2015
$83.3M
ZOVIRAX CREAM TO TREAT HERPES LABIALIS IN ADOLESCENTSM01RR000827 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHANG, R JEFFREY · 1985 to 2010
$74.3M
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Lauren Ferrante · 2002 to 2026
$37.9M
Wake Forest Claude D. Pepper OAIC - RenewalP30AG021332 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI LEON LENCHIK · 2002 to 2026
$36.4M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
TUFTS--FIELDINGP30AG031679 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI LEWIS LIPSITZ · 2008 to 2026
$23.9M
SHOW PROJECTU01DK057154 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI NATHAN, DAVID M · 1999 to 2020
$23.1M
University of Florida Older Americans Independence Center (OAIC)P30AG028740 · NIA · UNIVERSITY OF FLORIDA · PI Stephen D Anton · 2007 to 2026
$22.8M
Stanford Center for Clinical and Translational Education and Research (SCCTER)UL1UL1RR025744 · NCRR · STANFORD UNIVERSITY · PI GREENBERG, HARRY BERNARD · 2008 to 2011
$22.4M
Look AHEAD: Action for Health DiabetesU01DK057178 · NIDDK · ST. LUKE'S-ROOSEVELT INST FOR HLTH SCIS · PI LAFERRERE, BLANDINE B · 1999 to 2020
$21.2M
NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NCRR NIH HHS M01 RR000048NCRR NIH HHS M01 RR000827NCRR NIH HHS UL1 RR025744NHLBI NIH HHS 75N92020D00001NHLBI NIH HHS 75N92020D00002NHLBI NIH HHS 75N92020D00003NHLBI NIH HHS 75N92020D00004NHLBI NIH HHS 75N92020D00005NHLBI NIH HHS 75N92020D00006NHLBI NIH HHS 75N92020D00007NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NIA NIH HHS P30 AG021332NIA NIH HHS P30 AG021342NIA NIH HHS P30 AG024827NIA NIH HHS P30 AG028740NIA NIH HHS P30 AG031679NIA NIH HHS R01 AG033087NIA NIH HHS RF1 AG055654NIA NIH HHS U01 AG022376NICHD NIH HHS R24 HD065688NIDDK NIH HHS U01 DK056990NIDDK NIH HHS U01 DK056992NIDDK NIH HHS U01 DK057002NIDDK NIH HHS U01 DK057008NIDDK NIH HHS U01 DK057078NIDDK NIH HHS U01 DK057131NIDDK NIH HHS U01 DK057154NIDDK NIH HHS U01 DK057177NIDDK NIH HHS U01 DK057178NIDDK NIH HHS U01 DK057182NIDDK NIH HHS U01 DK057219Wellcome Trust
6 · The paper itself

Abstract

objectivesTo determine associations between arm and ankle systolic blood pressures (SBPs), develop and validate a multivariable model predicting arm SBP from ankle SBP, and investigate associations between ankle SBP, cardiovascular disease and mortality.

designAnkle-arm SBP differences were examined in two-stage individual participant data (IPD) meta-analyses using multivariable hierarchical linear regression models. Models were used to derive and validate a prediction model for arm SBP based on ankle SBP. Model performance was assessed using area under the receiver operating characteristic (AUROC) curve analyses. Prognostic associations of ankle SBP with outcomes were examined using Cox proportional hazards models. DATA SOURCES: Searches identified cohorts for the Inter-arm Blood Pressure Difference IPD (INTERPRESS-IPD) Collaboration from Medline, Old Medline, Medline in process, Embase and CINAHL databases from inception until January 2017; unpublished data were also sought. Required primary outcomes were all-cause mortality, cardiovascular mortality, and/or fatal and non-fatal cardiovascular events. ELIGIBILITY CRITERIA: Prospective studies from community, primary care or general clinic settings, without language restriction, that recorded SBP in both arms were eligible. Adults aged ≥18 years with SBP measured in all four limbs, in a supine position, were included in the current analyses. People with peripheral artery disease were excluded. DATA EXTRACTION AND SYNTHESIS: Anonymised datasets were individually cleaned and then combined into a single dataset for the INTERPRESS-IPD Collaboration.

resultsThe current dataset included 33 710 participants from 14 studies; mean age 58 years, 45% female, mean baseline arm blood pressure 138/80 (SD: 20/12) mm Hg. Mean ankle SBP was 12.0 mm Hg (95% CI 8.8 to 15.2) higher than arm SBP. The multivariable model predicting arm SBP from ankle SBP demonstrated excellent performance (AUROC curves, sensitivities and specificities were >0.82, 0.80 and 0.82, respectively, at all BP thresholds from 130 to 160 mm Hg). Model performance was superior to existing arithmetic formulae.Ankle SBP was neither associated with all-cause nor cardiovascular mortality (HR 1.000 (0.997 to 1.002; p=0.682) and 1.001 (0.996 to 1.005; p=0.840), respectively). However, lower-reading ankle SBP was associated with fatal or non-fatal cardiovascular events (HR 1.005 (1.002 to 1.007; p<0.001).

conclusionsOn average, ankle SBP is 12 mm Hg higher than arm SBP. Estimating individual arm SBP from ankle SBP measurements with a multivariable model is more accurate than existing fixed arithmetic formulae. This model, operationalised in an online calculator (https://ablebp. RESEARCH: exeter.ac.uk/), could facilitate hypertension management and cardiovascular care for people unable to have arm SBP measured. PROSPERO REGISTRATION NUMBER: CRD42015031227.

Indexed as

AnkleAnkle Brachial IndexArmBlood PressureBlood Pressure DeterminationCardiovascular DiseasesLegAdultAgedFemaleHumansMaleMiddle AgedProportional Hazards ModelsROC CurveCardiologyHypertensionPrimary Health Care

Identifiers

PMID40500230
PMCPMC12161303

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.