Evidence map›Paper›PMID 30404594›Full record

ArticleBMC public health2018

Pilot field testing of the chronic pain classification for ICD-11: the results of ecological coding.

Antonia Barke, Beatrice Korwisi, Hans-Raimund Casser, Egil A Fors, Christian Geber, Stephan A Schug, Audun Stubhaug, Takahiro Ushida, Thomas Wetterling, Winfried Rief and 1 more

Abstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Trial
  2. Time to Implement the ICD-11 Classification in Pain!European journal of pain (London, England) · 2026
    Article
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  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Evaluation of thePain reports
    Article
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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.

Antonia BarkeDepartment of Psychology, Division of Clinical Psychology and Psychotherapy, Philipps University Marburg, Gutenbergstr. 18, 35032, Marburg, Germany. abarke@gwdg.de.ORCID http://orcid.org/0000-0002-6863-3213
Beatrice KorwisiDepartment of Psychology, Division of Clinical Psychology and Psychotherapy, Philipps University Marburg, Gutenbergstr. 18, 35032, Marburg, Germany.
Hans-Raimund CasserDRK Schmerz-Zentrum, Auf der Steig 16, 55131, Mainz, Germany.
Egil A ForsGeneral Practice Research Unit, Norwegian University of Science and Technology, NO-7491, Trondheim, Norway.
Christian GeberDRK Schmerz-Zentrum, Auf der Steig 16, 55131, Mainz, Germany.
Stephan A SchugUniversity of Western Australia & Royal Perth Hospital, Perth, WA, 6847, Australia.
Audun StubhaugOslo University Hospital, University of Oslo, Kirkeveien 166, None, 0450, Oslo, Norway.
Takahiro UshidaAichi Medical University, Nagakute, Aichi, 480-1195, Japan.
Thomas WetterlingDRK Schmerz-Zentrum, Auf der Steig 16, 55131, Mainz, Germany.
Winfried RiefDepartment of Psychology, Division of Clinical Psychology and Psychotherapy, Philipps University Marburg, Gutenbergstr. 18, 35032, Marburg, Germany.
Rolf-Detlef TreedeDepartment of Neurophysiology, Centre for Biomedicine and Medical Technology Mannheim, Medical Faculty Mannheim, Heidelberg University, Ludolf-Krehl-Str. 13-17, 68167, Mannheim, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA task force of the International Association for the Study of Pain (IASP) has developed a classification of chronic pain for the ICD-11 consisting of seven major categories. The objective was to test whether the proposed categories were exhaustive and mutually exclusive. In addition, the perceived utility of the diagnoses and the raters' subjective diagnostic certainty were to be assessed.

methodsFive independent pain centers in three continents coded 507 consecutive patients. The raters received the definitions for the main diagnostic categories of the proposed classification and were asked to allocate diagnostic categories to each patient. In addition, they were asked to indicate how useful they judged the diagnosis to be from 0 (not at all) to 3 (completely) and how confident they were in their category allocation.

resultsThe two largest groups of patients were coded as either chronic primary pain or chronic secondary musculoskeletal pain. Of the 507 patients coded, 3.0% had chronic pain not fitting any of the proposed categories (97% exhaustiveness), 20.1% received more than one diagnosis. After adjusting for double coding due to technical reasons, 2.0% of cases remained (98% uniqueness). The mean perceived utility was 1.9 ± 1.0, the mean diagnostic confidence was 2.0 ± 1.0.

conclusionsThe categories proved exhaustive with few cases being classified as unspecified chronic pain, and they showed themselves to be mutually exclusive. The categories were regarded as useful with particularly high ratings for the newly introduced categories (chronic cancer-related pain among others). The confidence in allocating the diagnoses was good although no training regarding the ICD-11 categories had been possible at this stage of the development.

Indexed as

Clinical CodingInternational Classification of DiseasesChronic PainHumansPilot ProjectsChronic painClassificationClinical utilityDiagnostic categoriesEcological codingField testingICD-11

Identifiers

PMID30404594
PMCPMC6223095

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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.