Evidence mapPaperPMID 38530311Full record

SynthesisJAMA network open2024

Shared Decision-Making in Cardiovascular Risk Factor Management: A Systematic Review and Meta-Analysis.

Sabrina Elias, Yuling Chen, Xiaoyue Liu, Sarah Slone, Ruth-Alma Turkson-Ocran, Bunmi Ogungbe, Sabena Thomas, Samuel Byiringiro, Binu Koirala, Reiko Asano and 5 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
17.8field-weighted citation impact, top 1% 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

8 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Safety and Efficacy of Salt Restriction Across the Spectrum of Heart Failure.Journal of cardiovascular development and disease · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Review
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

15 authors at 6 institutions in 1 country.

Sabrina EliasJohns Hopkins School of Nursing, Baltimore, Maryland.
Yuling ChenJohns Hopkins School of Nursing, Baltimore, Maryland.
Xiaoyue LiuNew York University Rory Meyers College of Nursing, New York, New York.
Sarah SloneJohns Hopkins School of Nursing, Baltimore, Maryland.
Ruth-Alma Turkson-OcranDivision of General Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Bunmi OgungbeJohns Hopkins School of Nursing, Baltimore, Maryland.
Sabena ThomasAdelphi University, Garden City, New York.
Samuel ByiringiroJohns Hopkins School of Nursing, Baltimore, Maryland.
Binu KoiralaJohns Hopkins School of Nursing, Baltimore, Maryland.
Reiko AsanoCatholic University of America, Washington, DC.
Diana-Lyn BaptisteJohns Hopkins School of Nursing, Baltimore, Maryland.
Nicole L MollenkopfJohns Hopkins School of Nursing, Baltimore, Maryland.
Nwakaego NmeziMedStar National Rehabilitation Hospital, Washington, DC.
Yvonne Commodore-MensahJohns Hopkins School of Nursing, Baltimore, Maryland.
Cheryl R Dennison HimmelfarbJohns Hopkins School of Nursing, Baltimore, Maryland.
Johns Hopkins University · USAdelphi University · USHarvard University · USMedStar National Rehabilitation Hospital · USNew York University · USUniversity of America · US

Funding

Understanding and addressing risks of low socioeconomic status and diabetes for heart failureP50MD017348 · JOHNS HOPKINS UNIVERSITY · 2025 to 2025
$5.2M
NIMHD NIH HHS P50 MD017348
6 · The paper itself

Abstract

Importance: The effect of shared decision-making (SDM) and the extent of its use in interventions to improve cardiovascular risk remain unclear. Objective: To assess the extent to which SDM is used in interventions aimed to enhance the management of cardiovascular risk factors and to explore the association of SDM with decisional outcomes, cardiovascular risk factors, and health behaviors. Data Sources: For this systematic review and meta-analysis, a literature search was conducted in the Medline, CINAHL, Embase, Cochrane, Web of Science, Scopus, and ClinicalTrials.gov databases for articles published from inception to June 24, 2022, without language restrictions. Study Selection: Randomized clinical trials (RCTs) comparing SDM-based interventions with standard of care for cardiovascular risk factor management were included. Data Extraction and Synthesis: The systematic search resulted in 9365 references. Duplicates were removed, and 2 independent reviewers screened the trials (title, abstract, and full text) and extracted data. Data were pooled using a random-effects model. The review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guideline. Main Outcomes and Measures: Decisional outcomes, cardiovascular risk factor outcomes, and health behavioral outcomes. Results: This review included 57 RCTs with 88 578 patients and 1341 clinicians. A total of 59 articles were included, as 2 RCTs were reported twice. Nearly half of the studies (29 [49.2%]) tested interventions that targeted both patients and clinicians, and an equal number (29 [49.2%]) exclusively focused on patients. More than half (32 [54.2%]) focused on diabetes management, and one-quarter focused on multiple cardiovascular risk factors (14 [23.7%]). Most studies (35 [59.3%]) assessed cardiovascular risk factors and health behaviors as well as decisional outcomes. The quality of studies reviewed was low to fair. The SDM intervention was associated with a decrease of 4.21 points (95% CI, -8.21 to -0.21) in Decisional Conflict Scale scores (9 trials; I2 = 85.6%) and a decrease of 0.20% (95% CI, -0.39% to -0.01%) in hemoglobin A1c (HbA1c) levels (18 trials; I2 = 84.2%). Conclusions and Relevance: In this systematic review and meta-analysis of the current state of research on SDM interventions for cardiovascular risk management, there was a slight reduction in decisional conflict and an improvement in HbA1c levels with substantial heterogeneity. High-quality studies are needed to inform the use of SDM to improve cardiovascular risk management.

Indexed as

Cardiovascular DiseasesDecision Making, SharedHeart Disease Risk FactorsFemaleHumansMaleMiddle AgedPatient ParticipationRisk Factors

Identifiers

PMID38530311
PMCPMC10966415
OpenAlexW4393190477

What Socratic 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 Socratic graph.