Evidence map›Paper›PMID 23071713›Full record

SynthesisPloS one2012

The role of Decision Support System (DSS) in prevention of cardiovascular disease: a systematic review and meta-analysis.

Raghupathy Anchala, Maria P Pinto, Amir Shroufi, Rajiv Chowdhury, Jean Sanderson, Laura Johnson, Patricia Blanco, Dorairaj Prabhakaran, Oscar H Franco

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Article
  7. Article
  8. Review
  9. Review
  10. Unintended adverse consequences of a clinical decision support system: two cases.Journal of the American Medical Informatics Association : JAMIA · 2018
    Article
  11. Hypertension.Nature reviews. Disease primers · 2018
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

9 authors.

Raghupathy AnchalaDepartment of Public Health & Primary Care, University of Cambridge, Strangeways Research Laboratory, Wort's Causeway, Cambridge, United Kingdom.
Maria P Pinto
Amir Shroufi
Rajiv Chowdhury
Jean Sanderson
Laura Johnson
Patricia Blanco
Dorairaj Prabhakaran
Oscar H Franco

Funding

British Heart Foundation RG/08/014/24067Wellcome Trust 084754
6 · The paper itself

Abstract

backgroundThe potential role of DSS in CVD prevention remains unclear as only a few studies report on patient outcomes for cardiovascular disease. METHODS AND

resultsA systematic review and meta-analysis of randomised controlled trials and observational studies was done using Medline, Embase, Cochrane Library, PubMed, Amed, CINAHL, Web of Science, Scopus databases; reference lists of relevant studies to 30 July 2011; and email contact with experts. The primary outcome was prevention of cardiovascular disorders (myocardial infarction, stroke, coronary heart disease, peripheral vascular disorders and heart failure) and management of hypertension owing to decision support systems, clinical decision supports systems, computerized decision support systems, clinical decision making tools and medical decision making (interventions). From 4116 references ten studies met our inclusion criteria (including 16,312 participants). Five papers reported outcomes on blood pressure management, one paper on heart failure, two papers each on stroke, and coronary heart disease. The pooled estimate for CDSS versus control group differences in SBP (mm of Hg) was - 0.99 (95% CI -3.02 to 1.04 mm of Hg; I(2) = 0; p = 0.851).

conclusionsDSS show an insignificant benefit in the management and control of hypertension (insignificant reduction of SBP). The paucity of well-designed studies on patient related outcomes is a major hindrance that restricts interpretation for evaluating the role of DSS in secondary prevention. Future studies on DSS should (1) evaluate both physician performance and patient outcome measures (2) integrate into the routine clinical workflow with a provision for decision support at the point of care.

Indexed as

Cardiovascular DiseasesCoronary Artery DiseaseDecision Support Systems, ClinicalHeart FailureHumansHypertensionMyocardial Infarction

Identifiers

PMID23071713
PMCPMC3468543

What OpenQuestion holds

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Registered trials

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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.