Evidence map›Paper›PMID 33247802›Full record

ReviewScience China. Life sciences2021

Magnetic resonance imaging for chronic pain: diagnosis, manipulation, and biomarkers.

Yiheng Tu, Jin Cao, Yanzhi Bi, Li Hu

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Science China. Life sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

25 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Elevated dementia risk, cognitive decline, and hippocampal atrophy in multisite chronic pain.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  12. Article
  13. Article
  14. Diagnostic Biomarkers for Upper Extremity Chronic Pain Conditions.Journal of hand surgery global online · 2023
    Review
  15. Article
  16. Article
  17. Neuroimaging Assessment of Pain.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2022
    Review
  18. Article
  19. Article
  20. 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

4 authors at 2 institutions in 2 countries.

Yiheng TuCAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, 100101, China.
Jin CaoDepartment of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, 02129, USA.
Yanzhi BiCAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, 100101, China.
Li HuCAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, 100101, China. huli@psych.ac.cn.
Institute of Psychology, Chinese Academy of Sciences · CNHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pain is a multidimensional subjective experience with biological, psychological, and social factors. Whereas acute pain can be a warning signal for the body to avoid excessive injury, long-term and ongoing pain may be developed as chronic pain. There are more than 100 million people in China living with chronic pain, which has raised a huge socioeconomic burden. Studying the mechanisms of pain and developing effective analgesia approaches are important for basic and clinical research. Recently, with the development of brain imaging and data analytical approaches, the neural mechanisms of chronic pain have been widely studied. In the first part of this review, we briefly introduced the magnetic resonance imaging and conventional analytical approaches for brain imaging data. Then, we reviewed brain alterations caused by several chronic pain disorders, including localized and widespread primary pain, primary headaches and orofacial pain, musculoskeletal pain, and neuropathic pain, and present meta-analytical results to show brain regions associated with the pathophysiology of chronic pain. Next, we reviewed brain changes induced by pain interventions, such as pharmacotherapy, neuromodulation, and acupuncture. Lastly, we reviewed emerging studies that combined advanced machine learning and neuroimaging techniques to identify diagnostic, prognostic, and predictive biomarkers in chronic pain patients.

Indexed as

Magnetic Resonance ImagingNeuroimagingBrainChronic PainHumansMachine Learningbiomarkerschronic painmachine learningmagnetic resonance imaging

Identifiers

PMID33247802
OpenAlexW3109431677

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.