Evidence map›Paper›PMID 36198371›Full record

ReviewThe journal of pain2023

Optimizing and Accelerating the Development of Precision Pain Treatments for Chronic Pain: IMMPACT Review and Recommendations.

Robert R Edwards, Kristin L Schreiber, Robert H Dworkin, Dennis C Turk, Ralf Baron, Roy Freeman, Troels S Jensen, Alban Latremoliere, John D Markman, Andrew S C Rice and 24 more

3 registry-linked trialsAbstract readReview
In one paragraph

Review in The journal of pain, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 58 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 3 pooled it
–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.

NCT07081737 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

The Future of Pain Management: Can Person-centred and Precision AI-Based Decision Support Enhance Interdisciplinary Rehabilitation for Chronic Pain?

TypeinterventionalSponsorBjorn AngRan2026 to 2029Enrolled400ConditionsPain, Chronic, Chronic Pain, Widespread, Pain ManagementArmsInterdisciplinary treatment (IDT) + Clinical Decision Support System (CDSS), Interdisciplinary treatment (IDT)
NCT07296653 early_phase1recruitingnot on this mapstarted 2025, after this paper: background citation

Efficacy of Prolotherapy in Acupoints in Chronic Non-specific Low Back Pain (cLBP) - A Randomized Control Trial

TypeinterventionalSponsorNational and Kapodistrian University of AthensRan2025 to 2027Enrolled60ConditionsChronic Non-specific Low Back PainArmsDextrose 15% and lidocaine 1% infiltration, Lidocaine 1% infiltration
NCT07432841 narecruitingnot on this mapstarted 2025, after this paper: background citation

Innovative Neuromodulation Treatments for Chronic Pain: Assessing and Predicting the Effects of Personalized High-Definition Protocols for Transcranial Direct Current Stimulation (HD-tDCS)

TypeinterventionalSponsorIstituti Clinici Scientifici Maugeri SpARan2025 to 2027Enrolled144ConditionsChronic PainArmsAnodal High-Definition transcranial Direct Current Stimulation, Cathodal High-Definition transcranial Direct Current Stimulation, Sham (No Treatment)
3 · Its place in the literature

Who cites it

58 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Moving towards the use of artificial intelligence in pain management.European journal of pain (London, England) · 2025
    Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Dopamine transporter gene (Pain reports · 2026
    Article
  11. Article
  12. Personalizing treatment of pancreatitis-associated chronic pain: the need for an integrated omics approach.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
    Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
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  20. 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

34 authors.

Robert R EdwardsHarvard Medical School, Boston, Massachusetts. Electronic address: RREdwards@Partners.org.
Kristin L SchreiberHarvard Medical School, Boston, Massachusetts.
Robert H DworkinUniversity of Rochester, Rochester, New York.
Dennis C TurkDepartment of Anesthesiology and Pain Medicine, University of Washington, Seattle, Washington.
Ralf BaronDivision of Neurological Pain Research and Therapy, Department of Neurology, University Hospital Schleswig-Holstein, Arnold-Heller-Straße 3, House D, 24105 Kiel, Germany.
Roy FreemanHarvard Medical School, Boston, Massachusetts.
Troels S JensenAarhus University, Aarhus, Denmark.
Alban LatremoliereJohns Hopkins, Baltimore, Maryland.
John D MarkmanUniversity of Rochester, Rochester, New York.
Andrew S C RiceImperial College, London, UK.
Michael RowbothamUCSF, San Francisco, California.
Roland StaudUniversity of Florida, Gainesville, Florida.
Simon TateICG Life Sciences, London, UK.
Clifford J WoolfHarvard Medical School, Boston, Massachusetts.
Nick A AndrewsSalk Institute for Biological Studies, San Diego, California.
Daniel B CarrTufts University, Boston, Massachusetts.
Luana CollocaUniversity of Maryland, Maryland.
Doina Cosma-RomanAbbvie Pharmaceuticals, Cambridge, Massachusetts.
Penney CowanAmerican Chronic Pain Association, Rocklin, California.
Luda DiatchenkoDepartment of Anesthesia and Faculty of Dentistry, McGill University, Montreal, California.
John FarrarUniversity of Pennsylvania, Philadelphia, Pennsylvania.
Jennifer S GewandterUniversity of Rochester, Rochester, New York.
Ian GilronQueen's University, Kingston ON, Canada.
Robert D KernsYale University, Departments of Psychiatry, Neurology, and Psychology, New Haven, Connecticut.
Serge MarchandUniversite de Sherbrooke, Quebec, Canada.
Gwendolyn NieblerInnocoll Biotherapeutics, Princeton, New Jersey.
Kushang V PatelDepartment of Anesthesiology and Pain Medicine, University of Washington, Seattle, Washington.
Lee S SimonSDG LLC, Cambridge, Massachusetts.
Tina TockarshewskyCeres Consulting, Poughkeepsie, New York.
Geertrui F VanhoveSurrozen Inc., South San Francisco, California.
Daniel VardehLahey Headache Center, Boston, Massachusetts.
Gary A WalcoDepartment of Anesthesiology and Pain Medicine, University of Washington, Seattle, Washington.
Ajay D WasanUniversity of Pittsburgh, Pittsburgh, Pennsylvania.
Ursula WesselmannDepartment of Anesthesiology/Division of Pain Medicine, Neurology and Psychology, The University of Alabama at Birmingham, Birmingham, Alabama.

Funding

Neural correlates of hypoalgesia driven by observationR01AT010333 · NCCIH · UNIVERSITY OF MARYLAND BALTIMORE · PI COLLOCA, LUANA · 2019 to 2023
$3.7M
Sleep fragmentation by brief awakenings as a surrogate to measure neuropathic spontaneous painR01NS112266 · NINDS · JOHNS HOPKINS UNIVERSITY · PI LATREMOLIERE, ALBAN A · 2020 to 2024
$1.9M
NCCIH NIH HHS R01 AT010333NINDS NIH HHS R01 NS112266
6 · The paper itself

Abstract

Large variability in the individual response to even the most-efficacious pain treatments is observed clinically, which has led to calls for a more personalized, tailored approach to treating patients with pain (ie, "precision pain medicine"). Precision pain medicine, currently an aspirational goal, would consist of empirically based algorithms that determine the optimal treatments, or treatment combinations, for specific patients (ie, targeting the right treatment, in the right dose, to the right patient, at the right time). Answering this question of "what works for whom" will certainly improve the clinical care of patients with pain. It may also support the success of novel drug development in pain, making it easier to identify novel treatments that work for certain patients and more accurately identify the magnitude of the treatment effect for those subgroups. Significant preliminary work has been done in this area, and analgesic trials are beginning to utilize precision pain medicine approaches such as stratified allocation on the basis of prespecified patient phenotypes using assessment methodologies such as quantitative sensory testing. Current major challenges within the field include: 1) identifying optimal measurement approaches to assessing patient characteristics that are most robustly and consistently predictive of inter-patient variation in specific analgesic treatment outcomes, 2) designing clinical trials that can identify treatment-by-phenotype interactions, and 3) selecting the most promising therapeutics to be tested in this way. This review surveys the current state of precision pain medicine, with a focus on drug treatments (which have been most-studied in a precision pain medicine context). It further presents a set of evidence-based recommendations for accelerating the application of precision pain methods in chronic pain research. PERSPECTIVE: Given the considerable variability in treatment outcomes for chronic pain, progress in precision pain treatment is critical for the field. An array of phenotypes and mechanisms contribute to chronic pain; this review summarizes current knowledge regarding which treatments are most effective for patients with specific biopsychosocial characteristics.

Indexed as

Chronic PainAnalgesicsHumansPain ManagementPain MeasurementPhenotypeAnalgesicsbiomarkerneuropathicPainpersonalizedphenotypeprecisionquantitative sensory testing

Identifiers

PMID36198371
PMCPMC10868532

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.