Evidence map›Paper›PMID 29372020›Full record

ReviewThe Korean journal of pain2018

Pain medication and long QT syndrome.

Christoph Klivinyi, Helmar Bornemann-Cimenti

Open access · diamondAbstract readReview
In one paragraph

Review in The Korean journal of pain, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.5field-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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. The Role of the Pharmacist in the Care of Patients with Chronic Pain.Integrated pharmacy research & practice · 2021
    Review
  8. Perianesthesia Implications and Considerations for Drug-Induced QT Interval Prolongation.Journal of perianesthesia nursing : official journal of the American Society of PeriAnesthesia Nurses · 2020
    Article
  9. Article
  10. Article
  11. 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

2 authors at 1 institution in 1 country.

Christoph KlivinyiDepartment of Anesthesiology and Intensive Care Medicine, Medical University of Graz, Graz, Austria.
Helmar Bornemann-CimentiDepartment of Anesthesiology and Intensive Care Medicine, Medical University of Graz, Graz, Austria.
Medical University of Graz · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long QT syndrome is a cardiac repolarization disorder and is associated with an increased risk of torsades de pointes. The acquired form is most often attributable to administration of specific medications and/or electrolyte imbalance. This review provides insights into the risk for QT prolongation associated with drugs frequently used in the treatment of chronic pain. In the field of pain medicine all the major drug classes (i.e. NSAIDs, opioids, anticonvulsive and antidepressant drugs, cannabinoids, muscle relaxants) contain agents that increase the risk of QT prolongation. Other substances, not used in the treatment of pain, such as proton pump inhibitors, antiemetics, and diuretics are also associated with long QT syndrome. When the possible benefits of therapy outweigh the associated risks, slow dose titration and electrocardiography monitoring are recommended.

Indexed as

Adverse effectsAnalgesicsAnticonvulsantsCannabinoidsCentral muscle relaxantsElectrocardiographyLong QT syndromeNarcoticsNon-steroidal anti-inflammatory drugsTorsade de pointes

Identifiers

PMID29372020
PMCPMC5780213
OpenAlexW2789527713

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.