Evidence map›Paper›PMID 24073099›Full record

ArticleTranslational behavioral medicine2012

Neurophysiology of pain and hypnosis for chronic pain.

Tiara Dillworth, M Elena Mendoza, Mark P Jensen

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Translational behavioral medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02844348 (Impact of Hypnosis on the Management of Chronic and Breakthrough Pain of Chronic Dialysis Patients Suffering From Arterial Disease), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.1field-weighted citation impact, top 51% 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.

NCT02844348 nawithdrawnnot on this mapstarted 2016, after this paper: background citation

Impact of Hypnosis on the Management of Chronic and Breakthrough Pain of Chronic Dialysis Patients Suffering From Arterial Disease

TypeinterventionalSponsorUniversity Hospital, GrenobleRan2016 to 2016Enrolled0ConditionsPainArmsHypnosis session
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Review
  3. Evaluation and Treatment of Vulvodynia: State of the Science.Journal of midwifery & women's health · 2023
    Review
  4. Article
  5. Article
  6. Article
  7. A Mind-Body Approach to Pediatric Pain Management.Children (Basel, Switzerland) · 2017
    Review
  8. Article
  9. 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

3 authors at 1 institution in 1 country.

Tiara DillworthDepartment of Psychiatry & Behavioral Sciences, University of Washington, Box 354944, Seattle, WA 98195 USA.
M Elena Mendoza
Mark P Jensen
University of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the past decade there has been a dramatic increase in (1) understanding the neurophysiological components of the pain experiences, (2) randomized clinical trials testing the efficacy of hypnotic treatments on chronic pain, and (3) laboratory research examining the effects of hypnosis on the neurophysiological processes implicated in pain. Work done in these areas has not only demonstrated the efficacy of hypnosis for treating chronic pain but is beginning to shed light on neurophysiological processes that may play a role in its effectiveness. This paper reviews a selection of published studies from these areas of research, focusing on recent findings that have the most potential to inform both clinical work and research in this area. The paper concludes with research and clinical recommendations for maximizing treatment efficacy based on the research findings that are available.

Indexed as

Chronic painHypnosisHypnotic analgesiaHypnotic suggestionsNeurophysiology

Identifiers

PMID24073099
PMCPMC3717822
OpenAlexW1994577984

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.