Evidence map›Paper›PMID 34501391›Full record

ArticleJournal of clinical medicine2021

Classification and Assessment of Medication Risk in the Elderly (CARE): Use of a Medication Risk Score to Inform Patients' Readmission Likelihood after Hospital Discharge.

Savanna SanFilippo, Veronique Michaud, Juanqin Wei, Ravil Bikmetov, Jacques Turgeon, Luigi Brunetti

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. 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
0.8field-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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
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.

Savanna SanFilippoRobert Wood Johnson University Hospital Somerset, 110 Rehill Avenue, Somerville, NJ 08876, USA.
Veronique MichaudTabula Rasa Health Care, 13845 Veteran's Way Suite 410, Lake Nona, FL 32827, USA.
Juanqin WeiRobert Wood Johnson University Hospital Somerset, 110 Rehill Avenue, Somerville, NJ 08876, USA.
Ravil BikmetovTabula Rasa Health Care, 13845 Veteran's Way Suite 410, Lake Nona, FL 32827, USA.
Jacques TurgeonTabula Rasa Health Care, 13845 Veteran's Way Suite 410, Lake Nona, FL 32827, USA.ORCID 0000-0002-7978-9280
Luigi BrunettiRobert Wood Johnson University Hospital Somerset, 110 Rehill Avenue, Somerville, NJ 08876, USA.ORCID 0000-0003-0565-6167
Somerset Medical Center · USRutgers, The State University of New Jersey · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Existing risk tools that identify patients at high risk of medication-related iatrogenesis are not sufficient to holistically evaluate a patient's entire medication regimen. This study used a novel medication risk score (MRS) which holistically evaluates medication regimens and provides actionable solutions. The main purpose of this study was to quantify adults ≥ 65 years with a high medication risk burden using the MRS and secondarily, appraise MRS association with hospital readmission. This retrospective cohort study included all consecutive patients in a 6-month period aged 65 years and older, admitted for at least 48 h, and prescribed at least five medications upon discharge. Out of 3017 patients screened, 1386 met all criteria. The primary outcome was the proportion of patients with a score of ≥20 and the secondary outcome was the 30-day readmission rate. In the overall population, 17% of patients had an MRS ≥ 20. For patients discharged home, there was a 19% readmission rate for a score ≥ 20 and 11% for <20 (

Indexed as

medicationpolypharmacyrisk score

Identifiers

PMID34501391
PMCPMC8432217
OpenAlexW3198755984

What OpenQuestion holds

Textmetadata
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.