Evidence map›Paper›PMID 28297002›Full record

SynthesisJAMA surgery2017

Use of Computerized Clinical Decision Support Systems to Prevent Venous Thromboembolism in Surgical Patients: A Systematic Review and Meta-analysis.

Zachary M Borab, Michael A Lanni, Michael G Tecce, Christopher J Pannucci, John P Fischer

Registry-linked trialAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in JAMA surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06451003 (An Equity Focused Intervention to Improve Utilization of Guideline Concordant Extended Venous Thromboembolism Prophylaxis After Major Cancer Surgery), which is not on this map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 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.

NCT06451003 narecruitingnot on this mapstarted 2024, after this paper: background citation

An Equity Focused Intervention to Improve Utilization of Guideline Concordant Extended Venous Thromboembolism Prophylaxis After Major Cancer Surgery

TypeinterventionalSponsorMedical University of South CarolinaRan2024 to 2026Enrolled30ConditionsVenous Thromboembolism, Pulmonary Embolism, Deep Vein Thrombosis, CancerArmsExposure to clinical decision support system and education
3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  5. Review
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  10. Observational
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  15. Venous thromboembolism risk models may be ready for a makeover.Journal of vascular surgery. Venous and lymphatic disorders · 2024
    Article
  16. Article
  17. Article
  18. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Zachary M BorabWyss Department of Plastic and Reconstructive Surgery, New York University School of Medicine, New York.
Michael A LanniDivision of Plastic Surgery, Department of Surgery, University of Pennsylvania, Philadelphia.
Michael G TecceDivision of Plastic Surgery, Department of Surgery, University of Pennsylvania, Philadelphia.
Christopher J PannucciDivision of Plastic Surgery, School of Medicine, University of Utah, Salt Lake City.
John P FischerDivision of Plastic Surgery, Department of Surgery, University of Pennsylvania, Philadelphia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Health care professionals do not adequately stratify risk or provide prophylaxis for venous thromboembolism (VTE) among surgical patients. Computerized clinical decision support systems (CCDSSs) have been implemented to assist clinicians and improve prophylaxis for VTE. Objective: To evaluate the effect of implementing CCDSSs on the ordering of VTE prophylaxis and the rates of VTE. Data Sources: PubMed, MEDLINE via OVID, EMBASE via OVID, Scopus, Cochrane CENTRAL Register of Controlled Trials, and clinicaltrials.gov were searched in June 2016 for articles published in English from October 15, 1991, to February 16, 2016. A manual search of references from relevant articles was also performed. Study Selection: Clinical trials and observational studies among surgical patients comparing CCDSSs with VTE risk stratification and assistance in ordering prophylaxis vs routine care without decision support were included. Of the 188 articles screened, 11 (5.9%) were eligible for meta-analysis. Data Extraction and Synthesis: Meta-analysis of Observational Studies in Epidemiology guidelines were followed. Two reviewers extracted data and assessed quality independently. Main Outcomes and Measures: Rates of prophylaxis for VTE and VTE events. Random- and fixed-effects models were used to summarize odds ratios and risk ratios. Results: Eleven articles (9 prospective cohort trials and 2 retrospective cohort trials) comprising 156 366 individuals (104 241 in the intervention group and 52 125 in the control group) were included. The use of CCDSSs was associated with a significant increase in the rate of appropriate ordering of prophylaxis for VTE (odds ratio, 2.35; 95% CI, 1.78-3.10; P < .001) and a significant decrease in the risk of VTE events (risk ratio, 0.78; 95% CI, 0.72-0.85; P < .001). Conclusions and Relevance: Use of CCDSSs increases the proportion of surgical patients who were prescribed adequate prophylaxis for VTE and correlates with a reduction in VTE events.

Indexed as

Decision Support Systems, ClinicalHumansPostoperative ComplicationsRisk AssessmentVenous Thromboembolism

Identifiers

PMID28297002
PMCPMC5831455

What OpenQuestion holds

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Registered trials

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.