Evidence map›Paper›PMID 29438225›Full record

ArticlePain2018

Traits associated with central pain augmentation in the Knee Pain In the Community (KPIC) cohort.

Kehinde Akin-Akinyosoye, Nadia Frowd, Laura Marshall, Joanne Stocks, Gwen S Fernandes, Ana Valdes, Daniel F McWilliams, Weiya Zhang, Michael Doherty, Eamonn Ferguson and 1 more

2 registry-linked trialsOpen access · hybridAbstract read
In one paragraph

Article in Pain, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
4.8field-weighted citation impact, top 5% 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.

NCT04112745 naunknown statusnot on this mapstarted 2019, after this paper: background citation

The Effect of Magnetic Therapy on Pain Relief in Postoperation Patients

TypeinterventionalSponsorChina Medical University HospitalRan2019 to 2020Enrolled220ConditionsSurgical Patients, Hospitalized PatientsArmsStatic magnet, Placebo
NCT04443452 completednot on this mapstarted 2020, after this paper: background citation

Molecular Pathways Involved in Knee Pain: an Observational Study

TypeobservationalSponsorUniversity of NottinghamRan2020 to 2023Enrolled71ConditionsKnee Osteoarthritis, Knee Pain ChronicArmsQuantitative Sensory Testing, Radiographic Evaluation, Ultrasound-guided Aspiration, Muscle Strength Assessment, Function Assessment (A)
3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Observational
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  7. Osteoarthritis.Nature reviews. Disease primers · 2025
    Review
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  9. Observational
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  19. Observational
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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

11 authors at 3 institutions in 1 country.

Kehinde Akin-AkinyosoyeArthritis Research UK Pain Centre, Nottingham, United Kingdom.
Nadia FrowdArthritis Research UK Pain Centre, Nottingham, United Kingdom.
Laura MarshallArthritis Research UK Pain Centre, Nottingham, United Kingdom.
Joanne StocksArthritis Research UK Pain Centre, Nottingham, United Kingdom.
Gwen S FernandesArthritis Research UK Pain Centre, Nottingham, United Kingdom.
Ana ValdesArthritis Research UK Pain Centre, Nottingham, United Kingdom.
Daniel F McWilliamsArthritis Research UK Pain Centre, Nottingham, United Kingdom.
Weiya ZhangArthritis Research UK Pain Centre, Nottingham, United Kingdom.
Michael DohertyArthritis Research UK Pain Centre, Nottingham, United Kingdom.
Eamonn FergusonArthritis Research UK Pain Centre, Nottingham, United Kingdom.
David A WalshArthritis Research UK Pain Centre, Nottingham, United Kingdom.
University of Nottingham · GBVersus Arthritis · GBNottingham Biomedical Research Centre · GB

Funding

Arthritis Research UK 20777
6 · The paper itself

Abstract

This study aimed to identify self-report correlates of central pain augmentation in individuals with knee pain. A subset of participants (n = 420) in the Knee Pain and related health In the Community (KPIC) baseline survey undertook pressure pain detection threshold (PPT) assessments. Items measuring specific traits related to central pain mechanisms were selected from the survey based on expert consensus, face validity, item association with underlying constructs measured by originating host questionnaires, adequate targeting, and PPT correlations. Pain distribution was reported on a body manikin. A "central pain mechanisms" factor was sought by factor analysis. Associations of items, the derived factor, and originating questionnaires with PPTs were compared. Eight self-report items measuring traits of anxiety, depression, catastrophizing, neuropathic-like pain, fatigue, sleep disturbance, pain distribution, and cognitive impact were identified as likely indices of central pain mechanisms. Pressure pain detection thresholds were associated with items representing each trait and with their originating scales. Pain distribution classified as "pain below the waist additional to knee pain" was more strongly associated with low PPT than were alternative classifications of pain distribution. A single factor, interpreted as "central pain mechanisms," was identified across the 8 selected items and explained variation in PPT (R = 0.17) better than did any originating scale (R = 0.10-0.13). In conclusion, including representative items within a composite self-report tool might help identify people with centrally augmented knee pain.

Indexed as

AgedArthralgiaCohort StudiesFemaleHumansKneeMaleMiddle AgedNeuralgiaPain MeasurementPain ThresholdResidence CharacteristicsSelf Report

Identifiers

PMID29438225
PMCPMC5959005
OpenAlexW2787978384

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.