Evidence map›Paper›PMID 34930793›Full record

ArticleEuropean journal of hospital pharmacy : science and practice2022

Improved utilisation of venous thromboembolism prophylaxis in renal-impaired patients following a clinical pharmacist intervention.

Naemeh Nikvarz, Zahra Seyedi

Open access · greenAbstract read
In one paragraph

Article in European journal of hospital pharmacy : science and practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

2 authors at 1 institution in 1 country.

Naemeh NikvarzHerbal and Traditional Medicines Research Center and Department of Clinical Pharmacy, Faculty of Pharmacy and Pharmaceutical Sciences, Kerman University of Medical Sciences, Kerman, Iran (the Islamic Republic of) nnikvarz@kmu.ac.ir.
Zahra SeyediDepartment of Clinical Pharmacy, Faculty of Pharmacy and Pharmaceutical Sciences, Kerman University of Medical Sciences, Kerman, Iran (the Islamic Republic of).
Kerman University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the role of the clinical pharmacist in improving venous thromboembolism (VTE) prophylaxis prescription in patients with renal impairment (RI).

methodsThis was an interventional cross-sectional study conducted in a nephrology ward. Patients' risk scores for VTE and bleeding during hospitalisation (evaluated by the Caprini Risk Assessment Model (RAM), Padua Prediction Score and IMPROVE Bleeding Risk Score, respectively), and the rate of VTE prophylaxis administration to patients, were evaluated before and after a clinical pharmacist's intervention.

resultsIn the pre-intervention phase, 34.8% of high-VTE-risk patients, of whom 12.5% were also at high risk of bleeding, received pharmacological prophylaxis. Moreover, 22.2% of low-VTE-risk patients received prophylaxis. In the intervention phase, prophylaxis was administered to all high-risk patients (mechanical prophylaxis in 7% of patients with a high risk of both VTE and bleeding, and heparin in the remainder) and to 3.3% of those at low risk of VTE.

conclusionsThe clinical pharmacist's intervention using RAMs can improve the rate of thrombosis prophylaxis prescription in patients with RI who have a high risk of VTE.

Indexed as

Venous ThromboembolismCross-Sectional StudiesHumansPharmacistsPrescriptionsRetrospective Studiesclinical pharmacisthemorrhagerenal impairmentrisk assessment modelsthromboembolism

Identifiers

PMID34930793
PMCPMC8717764
OpenAlexW2995095164

What OpenQuestion holds

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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.