Evidence map›Paper›PMID 26248616›Full record

ArticleBMC family practice2015

Hypertension: a cross-sectional study of the role of multimorbidity in blood pressure control.

Chandra Sarkar, Hiten Dodhia, James Crompton, Peter Schofield, Patrick White, Christopher Millett, Mark Ashworth

Open access · goldAbstract read
In one paragraph

Article in BMC family practice, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
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

19 citing papers in PubMed, 49 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Chandra SarkarKing's College London, Department of Primary Care and Public Health Sciences, Capital House, 42 Weston Street, London, SE1 3QD, UK. chandra.sarkar@kcl.ac.uk.
Hiten DodhiaLambeth-Southwark Public Health Directorate, 160 Tooley Street, London, SE1 2QH, UK. hiten.dodhia@southwark.gov.uk.
James CromptonLambeth-Southwark Public Health Directorate, 160 Tooley Street, London, SE1 2QH, UK. james.crompton@southwark.gov.uk.
Peter SchofieldKing's College London, Department of Primary Care and Public Health Sciences, Capital House, 42 Weston Street, London, SE1 3QD, UK. peter.1.schofield@kcl.ac.uk.
Patrick WhiteKing's College London, Department of Primary Care and Public Health Sciences, Capital House, 42 Weston Street, London, SE1 3QD, UK. patrick.white@kcl.ac.uk.
Christopher MillettImperial College London, Faculty of Medicine, School of Public Health, South Kensington Campus, London, SW7 2AZ, UK. c.millett@imperial.ac.uk.
Mark AshworthKing's College London, Department of Primary Care and Public Health Sciences, Capital House, 42 Weston Street, London, SE1 3QD, UK. mark.ashworth@kcl.ac.uk.
King's College London · GBLambeth Council · GBImperial College London · GB

Funding

Department of Health NIHR-IPF-2013-07-16
6 · The paper itself

Abstract

backgroundHypertension is the most prevalent cardiovascular long-term condition in the UK and is associated with a high rate of multimorbidity (MM). Multimorbidity increases with age, ethnicity and social deprivation. Previous studies have yielded conflicting findings about the relationship between MM and blood pressure (BP) control. Our aim was to investigate the relationship between multimorbidity and systolic blood pressure (SBP) in patients with hypertension.

methodsA cross-sectional analysis of anonymised primary care data was performed for a total of 299,180 adult patients of whom 31,676 (10.6 %) had a diagnosis of hypertension. We compared mean SBP in patients with hypertension alone and those with one or more co-morbidities and analysed the effect of type of comorbidity on SBP. We constructed a regression model to identify the determinants of SBP control.

resultsThe strongest predictor of mean SBP was the number of comorbidities, β -0.13 (p < 0.05). Other predictors included Afro-Caribbean ethnicity, β 0.05 (p < 0.05), South Asian ethnicity, β -0.03 (p < 0.05), age, β 0.05 (p < 0.05), male gender, β 0.05 (p < 0.05) and number of hypotensive drugs β 0.06 (p < 0.05). SBP was lower by a mean of 2.03 mmHg (-2.22, -1.85) for each additional comorbidity and was lower in MM regardless of the type of morbidity.

conclusionHypertensive patients with MM had lower SBP than those with hypertension alone; the greater the number of MM, the lower the SBP. We found no evidence that BP control was related to BP targets, medication category or specific co-morbidity. Further research is needed to determine whether consultation rate, "white-coat hypertension" or medication adherence influence BP control in MM.

Indexed as

AdultAgedAntihypertensive AgentsBlood Pressure DeterminationComorbidityCross-Sectional StudiesFemaleHumansHypertensionLinear ModelsLondonMaleMiddle AgedTreatment OutcomeAntihypertensive Agents

Identifiers

PMID26248616
PMCPMC4528716
OpenAlexW1929302621

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.