Evidence map›Paper›PMID 25404191›Full record

ArticleJournal of the American Heart Association2014

External validation of the risk assessment model of the International Medical Prevention Registry on Venous Thromboembolism (IMPROVE) for medical patients in a tertiary health system.

David Rosenberg, Ann Eichorn, Mauricio Alarcon, Lauren McCullagh, Thomas McGinn, Alex C Spyropoulos

Open access · goldAbstract readMulticenter StudyValidation Study
In one paragraph

Article in Journal of the American Heart Association, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 11 pooled it
4.0field-weighted citation impact, top 5% 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

88 citing papers in PubMed, 11 syntheses or guidelines pooled it, 151 citations in OpenAlex.

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  10. Variation in Definitions of Immobility in Pharmacological Thromboprophylaxis Clinical Trials in Medical Inpatients: A Systematic Review.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis · 2018
    Pooled it
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  13. Proportion of US Hospitalized Medically Ill Patients Who May Qualify for Extended Thromboprophylaxis.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
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28 more citing papers are in PubMed but not listed here.

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

6 authors at 2 institutions in 1 country.

David RosenbergDepartment of Medicine, Hofstra North Shore LIJ School of Medicine, Manhasset, NY (D.R., M.A., L.M.C., T.M.G., A.C.S.).
Ann EichornKrasnoff Quality Management Institute, North Shore LIJ Health System, Manhasset, NY (A.E.).
Mauricio AlarconDepartment of Medicine, Hofstra North Shore LIJ School of Medicine, Manhasset, NY (D.R., M.A., L.M.C., T.M.G., A.C.S.).
Lauren McCullaghDepartment of Medicine, Hofstra North Shore LIJ School of Medicine, Manhasset, NY (D.R., M.A., L.M.C., T.M.G., A.C.S.).
Thomas McGinnDepartment of Medicine, Hofstra North Shore LIJ School of Medicine, Manhasset, NY (D.R., M.A., L.M.C., T.M.G., A.C.S.).
Alex C SpyropoulosDepartment of Medicine, Hofstra North Shore LIJ School of Medicine, Manhasset, NY (D.R., M.A., L.M.C., T.M.G., A.C.S.).
Hofstra University · USNorthwell Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospitalized medical patients are at risk for venous thromboembolism (VTE). Universal application of pharmacological thromboprophylaxis has the potential to place a large number of patients at increased bleeding risk. In this study, we aimed to externally validate the International Medical Prevention Registry on Venous Thromboembolism (IMPROVE) VTE risk assessment model in a hospitalized general medical population. METHODS AND

resultsWe identified medical discharges that met the IMPROVE protocol. Cases were defined as hospital-acquired VTE and confirmed by diagnostic study within 90 days of index hospitalization; matched controls were also identified. Risk factors for VTE were based on the IMPROVE risk assessment model (aged >60 years, prior VTE, intensive care unit or coronary care unit stay, lower limb paralysis, immobility, known thrombophilia, and cancer) and were measured and assessed. A total of 19 217 patients met the inclusion criteria. The overall VTE event rate was 0.7%. The IMPROVE risk assessment model identified 2 groups of the cohort by VTE incidence rate: The low-risk group had a VTE event rate of 0.42 (95% CI 0.31 to 0.53), corresponding to a score of 0 to 2, and the at-risk group had a VTE event rate of 1.29 (95% CI 1.01 to 1.57), corresponding to a score of ≥3. Low-risk status for VTE encompassed 68% of the patient cohort. The area under the receiver operating characteristic curve was 0.702, which was in line with the derivation cohort findings.

conclusionsThe IMPROVE VTE risk assessment model validation cohort revealed good discrimination and calibration for both the overall VTE risk model and the identification of low-risk and at-risk medical patient groups, using a risk score of ≥3. More than two thirds of the entire cohort had a score ≤2.

Indexed as

Decision Support TechniquesTertiary Care CentersAgedAged, 80 and overArea Under CurveFemaleFibrinolytic AgentsHemorrhageHumansIncidenceMaleMiddle AgedPredictive Value of TestsReproducibility of ResultsRetrospective StudiesRisk AssessmentFibrinolytic Agentsclinical prediction ruleshospitalized medical patientsrisk assessment modelsthromboprophylaxisvenous thromboembolism

Identifiers

PMID25404191
PMCPMC4338701
OpenAlexW2109813202

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.