Evidence map›Paper›PMID 26477805›Full record

SynthesisAmerican journal of preventive medicine2015

Clinical Decision Support Systems and Prevention: A Community Guide Cardiovascular Disease Systematic Review.

Gibril J Njie, Krista K Proia, Anilkrishna B Thota, Ramona K C Finnie, David P Hopkins, Starr M Banks, David B Callahan, Nicolaas P Pronk, Kimberly J Rask, Daniel T Lackland and 2 more

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in American journal of preventive medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 7 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

47 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Gibril J NjieCommunity Guide Branch, Division of Public Health Information Dissemination, Center for Surveillance, Epidemiology, and Laboratory Services, CDC, Atlanta, Georgia.
Krista K ProiaCommunity Guide Branch, Division of Public Health Information Dissemination, Center for Surveillance, Epidemiology, and Laboratory Services, CDC, Atlanta, Georgia.
Anilkrishna B ThotaCommunity Guide Branch, Division of Public Health Information Dissemination, Center for Surveillance, Epidemiology, and Laboratory Services, CDC, Atlanta, Georgia.
Ramona K C FinnieCommunity Guide Branch, Division of Public Health Information Dissemination, Center for Surveillance, Epidemiology, and Laboratory Services, CDC, Atlanta, Georgia.
David P HopkinsCommunity Guide Branch, Division of Public Health Information Dissemination, Center for Surveillance, Epidemiology, and Laboratory Services, CDC, Atlanta, Georgia. Electronic address: dhh4@cdc.gov.
Starr M BanksCommunity Guide Branch, Division of Public Health Information Dissemination, Center for Surveillance, Epidemiology, and Laboratory Services, CDC, Atlanta, Georgia.
David B CallahanDivision for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, Georgia.
Nicolaas P PronkHealthPartners, Minneapolis, Minnesota.
Kimberly J RaskGeorgia Medical Care Foundation, Emory University, Atlanta, Georgia.
Daniel T LacklandDepartment of Neurosciences, Medical University of South Carolina, Charleston, South Carolina.
Thomas E KottkeHealthPartners, Minneapolis, Minnesota.
Community Preventive Services Task Force

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

contextClinical decision support systems (CDSSs) can help clinicians assess cardiovascular disease (CVD) risk and manage CVD risk factors by providing tailored assessments and treatment recommendations based on individual patient data. The goal of this systematic review was to examine the effectiveness of CDSSs in improving screening for CVD risk factors, practices for CVD-related preventive care services such as clinical tests and prescribed treatments, and management of CVD risk factors. EVIDENCE ACQUISITION: An existing systematic review (search period, January 1975-January 2011) of CDSSs for any condition was initially identified. Studies of CDSSs that focused on CVD prevention in that review were combined with studies identified through an updated search (January 2011-October 2012). Data analysis was conducted in 2013. EVIDENCE SYNTHESIS: A total of 45 studies qualified for inclusion in the review. Improvements were seen for recommended screening and other preventive care services completed by clinicians, recommended clinical tests completed by clinicians, and recommended treatments prescribed by clinicians (median increases of 3.8, 4.0, and 2.0 percentage points, respectively). Results were inconsistent for changes in CVD risk factors such as systolic and diastolic blood pressure, total and low-density lipoprotein cholesterol, and hemoglobin A1C levels.

conclusionsCDSSs are effective in improving clinician practices related to screening and other preventive care services, clinical tests, and treatments. However, more evidence is needed from implementation of CDSSs within the broad context of comprehensive service delivery aimed at reducing CVD risk and CVD-related morbidity and mortality.

Indexed as

Cardiovascular DiseasesDecision Support Systems, ClinicalGlycated HemoglobinHumansLipoproteins, LDLRisk FactorsGlycated HemoglobinLipoproteins, LDL

Identifiers

PMID26477805
PMCPMC5074080

What OpenQuestion holds

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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.