Evidence map›Paper›PMID 28674148›Full record

ArticleBMJ open2017

Associations between interarm differences in blood pressure and cardiovascular disease outcomes: protocol for an individual patient data meta-analysis and development of a prognostic algorithm.

Christopher E Clark, Kate Boddy, Fiona C Warren, Rod S Taylor, Victor Aboyans, Lyne Cloutier, Richard J McManus, Angela C Shore, John L Campbell

Abstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Systolic inter-arm blood pressure difference and risk of cognitive decline in older people: a cohort study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2020
    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

9 authors.

Christopher E ClarkPrimary Care Research Group, Institute of Health Services Research, University of Exeter Medical School, Exeter, Devon, UK.
Kate BoddyPatient and Public Involvement Team, PenCLAHRC, University of Exeter Medical School, Exeter, Devon, UK.
Fiona C WarrenPrimary Care Research Group, Institute of Health Services Research, University of Exeter Medical School, Exeter, Devon, UK.
Rod S TaylorPrimary Care Research Group, Institute of Health Services Research, University of Exeter Medical School, Exeter, Devon, UK.
Victor AboyansDepartment of Cardiology, Dupuytren University Hospital, and Inserm 1098, Tropical Neuroepidemiology, Limoges, France.
Lyne CloutierDépartement des sciences infirmières, Université du Québec à Trois-Rivières, Trois-Rivières, Canada.
Richard J McManusNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Angela C ShoreNIHR Exeter Clinical Research Facility, Royal Devon and Exeter Hospital and University of Exeter Medical School, Exeter, Devon, UK.
John L CampbellPrimary Care Research Group, Institute of Health Services Research, University of Exeter Medical School, Exeter, Devon, UK.

Funding

Department of Health NIHR-RP-02-12-015Department of Health PB-PG-0215-36009
6 · The paper itself

Abstract

introductionIndividual cohort studies in various populations and study-level meta-analyses have shown interarm differences (IAD) in blood pressure to be associated with increased cardiovascular and all-cause mortality. However, key questions remain, such as follows: (1) What is the additional contribution of IAD to prognostic risk estimation for cardiovascular and all-cause mortality? (2) What is the minimum cut-off value for IAD that defines elevated risk? (3) Is there a prognostic value of IAD and do different methods of IAD measurement impact on the prognostic value of IAD? We aim to address these questions by conducting an individual patient data (IPD) meta-analysis. METHODS AND ANALYSIS: This study will identify prospective cohort studies that measured blood pressure in both arms during recruitment, and invite authors to contribute IPD datasets to this collaboration. All patient data received will be combined into a single dataset. Using one-stage meta-analysis, we will undertake multivariable time-to-event regression modelling, with the aim of developing a new prognostic model for cardiovascular risk estimation that includes IAD. We will explore variations in risk contribution of IAD across predefined population subgroups (eg, hypertensives, diabetics), establish the lower limit of IAD that is associated with additional cardiovascular risk and assess the impact of different methods of IAD measurement on risk prediction. ETHICS AND DISSEMINATION: This study will not include any patient identifiable data. Included datasets will already have ethical approval and consent from their sponsors. Findings will be presented to international conferences and published in peer reviewed journals, and we have a comprehensive dissemination strategy in place with integrated patient and public involvement. PROSPERO REGISTRATION NUMBER: CRD42015031227.

Indexed as

AlgorithmsBlood PressureArmBlood Pressure DeterminationCardiovascular DiseasesHumansMeta-Analysis as TopicPrognosisReproducibility of ResultsResearch DesignRisk AssessmentHypertensionIschaemic heart diseasePRIMARY CARESTROKE MEDICINEVASCULAR MEDICINE

Identifiers

PMID28674148
PMCPMC5734572

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.