Evidence map›Paper›PMID 28139345›Full record

ArticleJournal of diabetes and its complications2017

Effect of different methods of accounting for antihypertensive treatment when assessing the relationship between diabetes or obesity and systolic blood pressure.

Stephanie K Tanamas, Robert L Hanson, Robert G Nelson, William C Knowler

Abstract readComparative Study
In one paragraph

Article in Journal of diabetes and its complications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

4 authors.

Stephanie K TanamasNational Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ. Electronic address: stephanie.tanamas@nih.gov.
Robert L HansonNational Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ. Electronic address: rhanson@phx.niddk.nih.gov.
Robert G NelsonNational Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ. Electronic address: rnelson@phx.niddk.nih.gov.
William C KnowlerNational Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ. Electronic address: wknowler@phx.niddk.nih.gov.

Funding

Epidemiology of Type 2 Diabetes Mellitus in the Gila River Indian CommunityZIADK069000 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI KNOWLER, WILLIAM C · 2009 to 2021
$3.4M
Native Americans: Diabetes Mellitus/Chronic DiseasesZ01DK069000 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI KNOWLER, WILLIAM C · 1986 to 2008
$680k
Intramural NIH HHS Z01 DK069000
6 · The paper itself

Abstract

backgroundUnderlying blood pressure is that observed in the absence of antihypertensive treatment or, among those treated, the estimate of that which would be observed without treatment. This study aims to examine the relationships between diabetes or obesity and underlying systolic blood pressure adjusted for antihypertensive treatment by several methods.

methodsData from two population studies were analyzed-an American Indian community in Arizona and the National Health and Nutrition Examination Surveys. Antihypertensive treatment was accounted for using: no adjustment; antihypertensive use as a covariate; blood pressure dichotomized into normotension and hypertension; addition of a fixed treatment effect; non-parametric algorithm; and censored normal regression.

resultsThe magnitude of association at each time point differed by adjustment method particularly where there was a difference in prevalence of antihypertensive use between people with and without diabetes or obesity. The common methods of ignoring antihypertensive treatment or including it as a covariate in a regression model underestimated the effects of diabetes and obesity on underlying blood pressure, compared to the recommended method of the censored normal regression.

conclusionProper accounting for antihypertensive treatment is needed in interpreting variables that affect blood pressure.

Indexed as

Diabetes ComplicationsModels, StatisticalAdultAgedAntihypertensive AgentsArizonaBlood PressureBody Mass IndexCross-Sectional StudiesDiabetic AngiopathiesFemaleHumansHypertensionIndians, North AmericanLongitudinal StudiesMaleAntihypertensive AgentsAntihypertensive treatmentBlood pressureDiabetesObesityTreatment effect

Identifiers

PMID28139345
PMCPMC7293873

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.