Evidence map›Paper›PMID 38326252›Full record

ArticleBMJ open2024

Strategies for treating acute pain in patients with opioid dependence: a scoping review protocol.

Sarah Levine, Megha Andrews, Benjamin Saracco, Matthew Salzman

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Sarah LevineCooper Medical School of Rowan University, Camden, New Jersey, USA.
Megha AndrewsCooper Medical School of Rowan University, Camden, New Jersey, USA.
Benjamin SaraccoCooper Medical School of Rowan University, Camden, New Jersey, USA.
Matthew SalzmanEmergency Medicine, Cooper Medical School of Rowan University, Camden, New Jersey, USA salzman-matthew@cooperhealth.edu.ORCID 0000-0002-8277-4928

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPeople who are dependent on opioids experience acute pain similar to other individuals. However, treating acute pain in these patients renders unique challenges such as opioid-induced hyperalgesia, opioid tolerance, withdrawal and stigma from healthcare providers. Thus, it is crucial to identify effective strategies for treating acute pain in this population and to highlight gaps in knowledge to create a high standard of care. The main objective of the proposed scoping review is to identify current strategies for treating the acute pain in individuals with opioid dependence or use disorder. METHODS AND ANALYSIS: MEDLINE via the PubMed interface, Embase and Cochrane Central, Web of Science: Conference Proceedings Citation Index and Google Scholar will be searched. Forward and backward citation searching of the final included studies will also be conducted. Two independent reviewers will screen the titles and abstracts of sources, review and assess relevant full-text studies and extract data. Data will be presented in a diagram and will contribute to a qualitative thematic analysis. ETHICS AND DISSEMINATION: Data will be gathered from publicly accessible sources, so ethics approval is not necessary. The results will be disseminated through a peer-reviewed journal and reported at conferences related to addiction medicine. TRIAL REGISTRATION NUMBER: 10.17605/OSF.IO/BG6SJ.

Indexed as

Acute PainOpioid-Related DisordersAnalgesics, OpioidDrug ToleranceHumansPeer ReviewResearch DesignScoping Reviews as TopicAnalgesics, Opioidadult palliative carepain managementpatient-centered care

Identifiers

PMID38326252
PMCPMC10860028

What OpenQuestion holds

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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.