Evidence map›Paper›PMID 27513789›Full record

ReviewAnnals of the Royal College of Surgeons of England2016

Adult distal radius fractures classification systems: essential clinical knowledge or abstract memory testing?

A Shehovych, O Salar, Cer Meyer, D J Ford

Abstract readReview
In one paragraph

Review in Annals of the Royal College of Surgeons of England, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. A Computer Vision and Machine Learning Approach to Classify Views in Distal Radius Radiographs.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2025
    Article
  5. K-wires as a valid alternative to dual and single headless cannulated compression screw fixation of chauffeur fractures: a biomechanical comparison.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
    Article
  6. Open-source convolutional neural network to classify distal radial fractures according to the AO/OTA classification on plain radiographs.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
    Article
  7. Multimodality Imaging in Wrist Fractures and Dislocations.The Indian journal of radiology & imaging · 2025
    Review
  8. Article
  9. Distal radius fractures-Why do they fail?Journal of orthopaedics · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Tech-trends in orthopedics 2018.Acta orthopaedica · 2018
    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.

A ShehovychDepartment of Trauma and Orthopaedic Surgery, Royal Shrewsbury Hospital , Shrewsbury UK.
O SalarDepartment of Trauma and Orthopaedic Surgery, Royal Shrewsbury Hospital , Shrewsbury UK.
Cer MeyerDepartment of Trauma and Orthopaedic Surgery, Royal Shrewsbury Hospital , Shrewsbury UK.
D J FordDepartment of Trauma and Orthopaedic Surgery, Royal Shrewsbury Hospital , Shrewsbury UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Classification systems should be tools for concise communication, which ideally can predict prognosis and guide treatment. They should be relevant, reproducible, reliable, properly validated and most importantly simple to use and understand. There are 15 described distal radius classification systems present in the literature in the past 70 years, of which 8 are discussed in this paper. For each classification, we give an insight into its history, strengths and weaknesses, and provide evidence from the literature on reliability and reproducibility. Sadly, on completion of this paper we have not found a distal radius fracture classification that proved to be useful. Failings range from poor reproducibility and reliability, and over-complexity mainly emanating from the inability to classify this spectrum of injury in all of its manifestations. Consequently, we would suggest that classification systems for acute adult distal radius fractures are not useful clinical knowledge but mainly historical and/or research tools. Moreover, we would discourage trainees from spending time learning these classifications, as they serve not as essential clinical knowledge but more as forms of abstract memory testing.

Indexed as

Clinical CompetenceAdultHumansRadius FracturesReproducibility of ResultsClassification systemsDistal radiusFracturesReliabilityReproducibility

Identifiers

PMID27513789
PMCPMC5392888

What OpenQuestion holds

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Registered trials

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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.