Evidence map›Paper›PMID 29502330›Full record

Observational studyInternal and emergency medicine2018

Clinical impact of application of risk assessment models (Padua Prediction Score and Improve Bleeding Score) on venous thromboembolism, major hemorrhage and health expenditure associated with pharmacologic VTE prophylaxis: a "real life" prospective and retrospective observational study on patients hospitalized in a Single Internal Medicine Unit (the STIME study).

Luca Depietri, Marco Marietta, Stefania Scarlini, Matteo Marcacci, Elena Corradini, Antonello Pietrangelo, Paolo Ventura

Open access · greenAbstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Internal and emergency medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 34 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Luca DepietriUnit of Internal Medicine 2, University of Modena and Reggio Emilia, Modena, Italy.
Marco MariettaUnit of Hematology, Department of Medical and Surgical Sciences for Children and Adults, University of Modena and Reggio Emilia, Modena, Italy.
Stefania ScarliniUnit of Internal Medicine 2, University of Modena and Reggio Emilia, Modena, Italy.
Matteo MarcacciUnit of Internal Medicine 2, University of Modena and Reggio Emilia, Modena, Italy.
Elena CorradiniUnit of Internal Medicine 2, University of Modena and Reggio Emilia, Modena, Italy.
Antonello PietrangeloUnit of Internal Medicine 2, University of Modena and Reggio Emilia, Modena, Italy.
Paolo VenturaUnit of Internal Medicine 2, University of Modena and Reggio Emilia, Modena, Italy. paoloven@unimore.it.ORCID http://orcid.org/0000-0003-1893-1914
University of Modena and Reggio Emilia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

International guidelines recommend the use of pharmacological prophylaxis in hospitalized medical patients at high risk of venous thromboembolism (VTE). The same international guidelines suggest the employment of standardized risk assessment models (RAMs) when evaluating the administration of pharmacological prophylaxis in acutely ill medical patients. The Padua Prediction Score and the Improve Bleeding Score have been indicated as the best available RAMs to predict thrombotic and haemorrhagic risk in hospitalized medical patients, but it is still unknown whether their combined use may lead to a significant reduction in thrombotic and haemorrhagic events. It is also unclear whether their extensive use can affect to some extent health expenditure associated with pharmacological VTE prophylaxis. The purpose of this single-centre, prospective and retrospective observational study is to investigate these unanswered questions. All patients admitted to our Internal Medicine Department between May 2015 and August 2015, i.e., before the introduction and extensive use of RAMs, were consecutively enrolled (retrospective group). Similarly, all patients admitted between November 2016 and February 2017-once RAMs clinical use became a consolidated practice-have also been consecutively recruited (prospective group). Consecutively, 203 patients were enrolled in the retrospective group and 210 patients were enrolled in the prospective group. Three events of major bleeding and one event of pulmonary embolism were observed in the prospective group; three events of major hemorrhage and two events of pulmonary embolism were observed in the retrospective group (p = not significant). A statistically significant decrease in pharmacological VTE prophylaxis among study groups was detected: 43.3% of prospective group patients and 56.7% of retrospective group patients received pharmacological prophylaxis (p = .028). Overall, 299 drug doses for VTE prophylaxis have been spared after RAMs introduction (p = .0001) and health expenditure decreased by 27.2% (i.e., 1.67 € saved for each single patient). In conclusion, the extensive use of RAMs in our population of hospitalized medical patients did not statistically affect VTE rate or incidence of major bleeding, but it resulted in a significant drop in health expenditure related with pharmacological prophylaxis. Awaiting new clinical trials, a broad use of RAMs may be a safe strategy for reducing health expenditure associated with VTE prophylaxis in hospitalized medical patients.

Indexed as

AgedAged, 80 and overAnticoagulantsFemaleHumansMaleMiddle AgedProspective StudiesPulmonary EmbolismRetrospective StudiesRisk AssessmentRisk FactorsStatistics, NonparametricVenous ThromboembolismAnticoagulantsHealth expenditureImprove Bleeding ScorePadua Prediction ScoreRisk assessment modelsVenous thromboembolism prophylaxis

Identifiers

PMID29502330
OpenAlexW2790447932

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.