Evidence map›Paper›PMID 33662236›Full record

ArticleThe Senior care pharmacist2021

Avoiding Adverse Drug Withdrawal Events When Stopping Unnecessary Medications According to the STOPPFrail Criteria.

Joseph T Hanlon, Jennifer Tjia

Abstract read
In one paragraph

Article in The Senior care pharmacist, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Trajectories of Medication Use Prior to Death in US Nursing Home Residents With Dementia.Journal of the American Medical Directors Association · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Perspectives on deprescribing in palliative care.Expert review of clinical pharmacology · 2023
    Review
  11. Deprescribing trials: A focus on adverse drug withdrawal events.Journal of the American Geriatrics Society · 2022
    Article
  12. Article
  13. Article
  14. 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

2 authors.

Joseph T Hanlon1University of Pittsburgh, Department of Medicine, Pittsburgh, Pennsylvania.
Jennifer Tjia3University of Massachusetts Medical School, Department of Population and Quantitative Health Sciences, Worcester, Massachusetts.

Funding

Pilot Study of Standardized PatiEnt-CenTered medicatiOn Review (SPECTORx) in Home HospiceR21AG060017 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI TJIA, JENNIFER · 2018 to 2019
$481k
NIA NIH HHS R21 AG060017
6 · The paper itself

Abstract

objectiveTo provide clinicians with information about avoiding adverse drug withdrawal events (ADWEs) when discontinuing unnecessary medications as per the STOPPFrail criteria. DATA SOURCES: Searches of MEDLINE (1970-June 2020), the Cochrane Database of Systematic Reviews (through June 2020), Google Scholar (through June 2020). STUDY SELECTION: Reviews and original studies of ADWEs. DATA EXTRACTION: Tapering protocols for specific drugs/ classes from randomized controlled deprescribing trials. DATA SYNTHESIS: Six drug classes were identified as being high risk for physiological ADWEs.

conclusionThe occurrence of ADWEs is rare in comparison to adverse drug reactions in older adults. Few drugs/classes have been reported to have physiological ADWEs with abrupt discontinuation. For these we provide information about tapering protocols and symptom monitoring to avoid ADWEs.

Indexed as

Drug-Related Side Effects and Adverse ReactionsPharmaceutical PreparationsAgedHumansPharmaceutical Preparations

Identifiers

PMID33662236
PMCPMC8091161

What OpenQuestion holds

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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.