Evidence map›Paper›PMID 32385739›Full record

ReviewDrugs2020

Treatment of Antipsychotic-Induced Akathisia: Role of Serotonin 5-HT

Michael Poyurovsky, Abraham Weizman

Abstract readReview
PubMed Publisher
In one paragraph

Review in Drugs, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Trazodone-related oromandibular dyskinesia.Journal of family medicine and primary care · 2024
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Use of Zebrafish Models to Boost Research in Rare Genetic Diseases.International journal of molecular sciences · 2021
    Review
  11. 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 at 2 institutions in 1 country.

Michael PoyurovskyMaale HaCarmel Mental Health Center Affiliated to the Rappaport Faculty of Medicine, Technion, Israel Institute of Technology, Tirat Carmel, POB 9, 30200, Haifa, Israel. poyurovs@technion.ac.il.
Abraham WeizmanGeha Mental Health Center, Petah Tikva and Felsenstein Medical Research Center, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
Tel Aviv University · ILTirat Carmel Mental Health Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Akathisia is one of the most prevalent and distressing adverse effects associated with antipsychotic drug treatment. Propranolol, a non-selective beta-adrenergic receptor antagonist, is currently considered a first-line treatment for antipsychotic-induced akathisia (AIA). Surprisingly, the evidence for its anti-akathisia effect is modest. Propranolol's side effects (e.g. orthostatic hypotension, bradycardia), contraindications (e.g. asthma) and increased complexity in titration schedules limit its use in some patients. Anticholinergic agents and benzodiazepines merely provide symptomatic relief in patients with AIA. Effective and well-tolerated treatment remains a major unmet need in akathisia and warrants a search for new anti-akathisia agents. Accumulating evidence during the last two decades indicates that agents with marked postsynaptic serotonin 5-HT

Indexed as

Akathisia, Drug-InducedAlgorithmsAntipsychotic AgentsHumansPropranololPsychomotor AgitationReceptor, Serotonin, 5-HT2ASerotonin 5-HT2 Receptor AntagonistsSerotonin Receptor AgonistsAntipsychotic AgentsPropranololReceptor, Serotonin, 5-HT2ASerotonin 5-HT2 Receptor AntagonistsSerotonin Receptor Agonists

Identifiers

PMID32385739
OpenAlexW3021484592

What OpenQuestion holds

Textmetadata
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.