Evidence map›Paper›PMID 34221792›Full record

ReviewJournal of general and family medicine2021

A narrative review of evidence to guide deprescribing among older adults.

Kenya Ie, Shuichi Aoshima, Taku Yabuki, Steven M Albert

Open access · goldAbstract readReview
In one paragraph

Review in Journal of general and family medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Review
  14. Review
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

4 authors at 4 institutions in 2 countries.

Kenya IeDivision of General Internal Medicine Department of Internal Medicine St. Marianna University School of Medicine Kawasaki Japan.ORCID https://orcid.org/0000-0002-1387-0588
Shuichi AoshimaNakano Hospital Tochigi Japan.
Taku YabukiDepartment of Internal Medicine Tochigi Medical Center Tochigi Japan.
Steven M AlbertDepartment of Behavioral and Community Health Sciences University of Pittsburgh Graduate School of Public Health Pittsburgh PA USA.
Nitobe Memorial Nakano General Hospital · JPSt. Marianna University School of Medicine · JPTochigi Medical Center · JPUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Potentially inappropriate prescription and polypharmacy are well-known risk factors for morbidity and mortality among older adults. However, recent systematic reviews have failed to demonstrate the overall survival benefits of deprescribing. Thus, it is necessary to synthesize the current evidence to provide a practical direction for future research and clinical practice. This review summarizes the existing body of evidence regarding deprescribing to identify useful intervention elements. There is evidence that even simple interventions, such as direct deprescribing targeted at risky medications and explicit criteria-based approaches, effectively reduce inappropriate prescribing. On the other hand, if the goal is to improve clinical outcomes such as hospitalization and emergency department visits, patient-centered multimodal interventions such as a combination of medication review, multidisciplinary collaboration, and patient education are likely to be more effective. We also consider the opportunities and challenges for deprescribing within the Japanese healthcare system.

Indexed as

deprescribinginterventionJapanese healthcare systemolder adultspolypharmacy

Identifiers

PMID34221792
PMCPMC8245739
OpenAlexW3169087281

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.