Evidence map›Paper›PMID 38735930›Full record

ArticleBMC medicine2024

Deprescribing of antidepressants: development of indicators of high-risk and overprescribing using the RAND/UCLA Appropriateness Method.

Vita Brisnik, Jochen Vukas, Caroline Jung-Sievers, Karoline Lukaschek, G Caleb Alexander, Ulrich Thiem, Petra Thürmann, Cornelius Schüle, Sebastian Fischer, Erika Baum and 8 more

Abstract read
In one paragraph

Article in BMC medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Deprescribing: Reducing Harm, Enhancing Care.Rambam Maimonides medical journal · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

18 authors.

Vita BrisnikInstitute of General Practice and Family Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Jochen VukasInstitute of General Practice and Family Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Caroline Jung-SieversGraduate Program "POKAL - Predictors and Outcomes in Primary Care Depression Care", (DFG - GrK 2621), Munich, Germany.
Karoline LukaschekInstitute of General Practice and Family Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
G Caleb AlexanderInstitute of General Practice and Family Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Ulrich ThiemUniversity Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Petra ThürmannChair of Clinical Pharmacology, Faculty of Health, Department of Medicine, University Witten/Herdecke, Witten, Germany.
Cornelius SchüleDepartment of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany.
Sebastian FischerInstitute of General Practice and Family Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Erika BaumInstitute of General Practice and Family Medicine, Philipps University Marburg, Marburg, Germany.
Michael DreyDepartment of Medicine IV, Geriatrics, LMU University Hospital, LMU Munich, Munich, Germany.
Sebastian HarderInstitute for Clinical Pharmacology, University Hospital, Goethe University Frankfurt, Frankfurt, Germany.
Wilhelm NieblingDepartment of Medicine, Division of General Practice, Medical Center, University of Freiburg, Freiburg, Germany.
Ulrike JankaDepartment of Psychiatry and Psychotherapy, Paracelsus Medical University Nuremberg, Nuremberg, Germany.
Olaf KrauseInstitute of General Practice and Palliative Medicine, Medical School Hannover, Hannover, Germany.
Jochen GensichenInstitute of General Practice and Family Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Tobias DreischulteInstitute of General Practice and Family Medicine, LMU University Hospital, LMU Munich, Munich, Germany. tobias.dreischulte@med.uni-muenchen.de.
POKAL-Group

Funding

Deutsche Forschungsgemeinschaft GrK 2621
6 · The paper itself

Abstract

backgroundAntidepressants are first-line medications for many psychiatric disorders. However, their widespread long-term use in some indications (e.g., mild depression and insomnia) is concerning. Particularly in older adults with comorbidities and polypharmacy, who are more susceptible to adverse drug reactions, the risks and benefits of treatment should be regularly reviewed. The aim of this consensus process was to identify explicit criteria of potentially inappropriate antidepressant use (indicators) in order to support primary care clinicians in identifying situations, where deprescribing of antidepressants should be considered.

methodsWe used the RAND/UCLA Appropriateness Method to identify the indicators of high-risk and overprescribing of antidepressants. We combined a structured literature review with a 3-round expert panel, with results discussed in moderated meetings in between rounds. Each of the 282 candidate indicators was scored on a 9-point Likert scale representing the necessity of a critical review of antidepressant continuation (1-3 = not necessary; 4-6 = uncertain; 7-9 = clearly necessary). Experts rated the indicators for the necessity of review, since decisions to deprescribe require considerations of patient risk/benefit balance and preferences. Indicators with a median necessity rating of ≥ 7 without disagreement after 3 rating rounds were accepted.

resultsThe expert panel comprised 2 general practitioners, 2 clinical pharmacologists, 1 gerontopsychiatrist, 2 psychiatrists, and 3 internists/geriatricians (total N = 10). After 3 assessment rounds, there was consensus for 37 indicators of high-risk and 25 indicators of overprescribing, where critical reviews were felt to be necessary. High-risk prescribing indicators included settings posing risks of drug-drug, drug-disease, and drug-age interactions or the occurrence of adverse drug reactions. Indicators with the highest ratings included those suggesting the possibility of cardiovascular risks (QTc prolongation), delirium, gastrointestinal bleeding, and liver injury in specific patient subgroups with additional risk factors. Overprescribing indicators target patients with long treatment durations for depression, anxiety, and insomnia as well as high doses for pain and insomnia.

conclusionsExplicit indicators of antidepressant high-risk and overprescribing may be used directly by patients and health care providers, and integrated within clinical decision support tools, in order to improve the overall risk/benefit balance of this commonly prescribed class of prescription drugs.

Indexed as

Antidepressive AgentsDeprescriptionsAgedConsensusHumansInappropriate PrescribingRisk AssessmentAntidepressive AgentsAdverse drug eventsAntidepressantsDeprescribingHigh-risk prescribingOverprescribing

Identifiers

PMID38735930
PMCPMC11089726

What OpenQuestion holds

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Registered trials

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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.