Evidence map›Paper›PMID 37942025›Full record

ArticleAmerican journal of preventive cardiology2023

Association between weight variability, weight change and clinical outcomes in hypertension.

Richard Kazibwe, Matthew J Singleton, Muhammad Imtiaz Ahmad, Arnaud D Kaze, Parag A Chevli, Juliana H Namutebi, Ramla N Kasozi, Denis D Asiimwe, Joseph Kazibwe, Michael D Shapiro and 1 more

Open access · goldAbstract read
In one paragraph

Article in American journal of preventive cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-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

5 citing papers in PubMed, 5 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

11 authors at 6 institutions in 2 countries.

Richard KazibweDepartment of Medicine, Section on Hospital Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Matthew J SingletonDepartment of Medicine, Section on Cardiovascular Medicine, WellSpan Health, York, PA, USA.
Muhammad Imtiaz AhmadDepartment of Internal Medicine, Section on Hospital Medicine, Medical College of Wisconsin, Wauwatosa, Wisconsin, USA.
Arnaud D KazeDepartment of Medicine, Sovah Health, Danville, VA, USA.
Parag A ChevliDepartment of Medicine, Section on Hospital Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Juliana H NamutebiWake Forest University, School of Graduate Studies, Winston-Salem, NC, USA.
Ramla N KasoziDepartment of Family Medicine, Mayo Clinic, Jacksonville, FL, USA.
Denis D AsiimweDepartment of Medicine, University of Florida, FL, USA.
Joseph KazibweDepartment of Cardiology, Sheffield Teaching Hospital, Sheffield, UK.
Michael D ShapiroCenter for the Prevention of Cardiovascular Disease Section on Cardiovascular Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Joseph YeboahDepartment of Medicine, Section of Cardiovascular Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Wake Forest University · USMedical College of Wisconsin · USSheffield Teaching Hospitals NHS Foundation Trust · GBUniversity of Florida · USWellSpan Health · USWinnMed · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The effect of body weight variability (BWV) and body weight change (BWC) in high-risk individuals with hypertension, but without diabetes mellitus (DM) remains unclear. We examined the effect of BWV and BWC on the primary outcome [the composite of myocardial infarction (MI), other acute coronary syndromes, stroke, acute decompensated heart failure (HF), or cardiovascular (CV) death] and all-cause mortality in the Systolic Blood Pressure Intervention Trial (SPRINT). Methods: In this post-hoc analysis, we used multivariate Cox regression models to examine the risk associated with BWV and BWC for the primary outcome in SPRINT. BWV was defined as the intra-individual average successive variability (ASV). BWC was defined as baseline weight minus final weight. Results: A total of 8714 SPRINT participants (mean age 67.8 ± 9.4 years, 35.1 % women, 58.9 % Whites) with available data on body weight were included. The median follow-up was about 3.9 years (IQR, 3.3-4.4). In multivariable-adjusted Cox models, each 1 unit standard deviation (SD) of BWV was significantly associated with a higher risk for the primary outcome, all-cause mortality, HF, MI, and stroke [HR(95 % CI)]: 1.13 (1.07-1.19; Conclusion: In high-risk hypertension, BWV and BWC were both associated with higher risk of the primary outcome and all-cause mortality. These results further stress the clinical importance of sustained weight loss and minimizing fluctuations in weight in hypertension.

Indexed as

Clinical outcomesHypertensionWeight changeWeight variability

Identifiers

PMID37942025
PMCPMC10630599
OpenAlexW4387806952

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.