Evidence map›Paper›PMID 28970443›Full record

ReviewPharmacy (Basel, Switzerland)2017

Investigating the Relative Significance of Drug-Related Problem Categories.

Lene Juel Kjeldsen, Trine Rune Høgh Nielsen, Charlotte Olesen

Open access · goldAbstract readReview
In one paragraph

Review in Pharmacy (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Observational
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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

3 authors at 2 institutions in 1 country.

Lene Juel KjeldsenThe Danish Research Unit for Hospital Pharmacy, Amgros I/S, 2100 Copenhagen, Denmark. ljk@amgros.dk.
Trine Rune Høgh NielsenThe Hospital Pharmacy, Region Zealand, 4700 Næstved, Denmark. trn@regionsjaelland.dk.
Charlotte OlesenThe Hospital Pharmacy, Central Denmark Region, 8000 Aarhus, Denmark. CHAOLN@auh.rm.dk.
Central Denmark Region · DKRegion Zealand · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the review was to investigate whether an assessment of clinical significance can be related to specific drug-related problems (DRPs) and hence may assist in prioritizing individual categories of DRP categorization systems. The literature search using Google Scholar was performed for the period 1990 to 2013 and comprised primary research studies of clinical pharmacy interventions including DRP and clinical significance assessments. Two reviewers assessed the titles, abstracts, and full-text papers individually, and inclusion was determined by consensus. A total of 27 unique publications were included in the review. They had been conducted in 14 different countries and reported a large range of DRPs (71-5948). Five existing DRP categorisation systems were frequently used, and two methods employed to assess clinical significance were frequently reported. The present review could not establish a consistent relation between the DRP categories and the level of clinical significance. However, the categories "ADR" and possibly "Drug interaction" were often associated with an assessed high clinical significance, albeit they were infrequently identified in the studies. Hence, clinical significance assessments do not seem to be useful in prioritizing individual DRPs in the DRP categorization systems. Consequently, it may be necessary to reconsider our current approach for evaluating DRPs.

Indexed as

categorisation systemsclinical significancedrug-related problemshospitalreview

Identifiers

PMID28970443
PMCPMC5597156
OpenAlexW2621415111

What OpenQuestion holds

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LicenceCC BY
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.