Evidence map›Paper›PMID 27303080›Full record

ArticleHospital pharmacy2016

Probable Tapentadol-Associated Serotonin Syndrome After Overdose.

Heather Walczyk, Cheuk H Michael Liu, Antonia Alafris, Henry Cohen

Open access · greenAbstract read
In one paragraph

Article in Hospital pharmacy, 2016. 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
4.0field-weighted citation impact, top 6% 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, 25 citations in OpenAlex.

  1. Observational
  2. Review
  3. Review
  4. Article
  5. Article
  6. Tapentadol: an overview of the safety profile.Journal of pain research · 2019
    Review
  7. Article
  8. Review
  9. Review
  10. Article
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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 3 institutions in 1 country.

Heather Walczyk
Cheuk H Michael Liu
Antonia Alafris
Henry Cohen
Yale New Haven Hospital · USSeaView Research · USSt. Barnabas Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDrug-induced serotonin syndrome is a potentially life-threatening condition. An Ovid MEDLINE, and PubMed search from 1950 to October 2015 revealed one published case report of suspected tapentadol-induced serotonin syndrome. We report a probable case of tapentadol-induced serotonin syndrome after overdose. CASE SUMMARY: A 48-year-old male was found unresponsive after a witnessed overdose of medications including tapentadol. After administration of naloxone by emergency medical services, the patient became combative and presented with altered mental status. He was managed with physical and pharmacologic restraints in the emergency department. Other medications that could be implicated in the patient's presentation include duloxetine and amitriptyline. It was suspected that the opioid properties of tapentadol were masking the patient's signs and symptoms of serotonin syndrome. The patient was admitted to the medical intensive care unit, remained stable, and was discharged 2 days later. Currently, there is one published case report of suspected tapentadol-induced serotonin syndrome after an overdose. The manufacturer of tapentadol reported no cases of serotonin syndrome during clinical trials, but there have been postmarketing cases reported with co-administration of other serotonergic drugs.

conclusionWe report a probable case of tapentadol-induced serotonin syndrome after overdose. Further research is needed to better understand the pharmacology and incidence behind this adverse event.

Indexed as

serotonin syndrometapentadol

Identifiers

PMID27303080
PMCPMC4896335
OpenAlexW2337030116

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.