Evidence map›Paper›PMID 36315989›Full record

ArticleNeuroepidemiology2022

Demographics of Cauda Equina Syndrome: A Population-Based Incidence Study.

Julie Woodfield, Simon Lammy, Aimun A B Jamjoom, Mohammed A G Fadelalla, Phillip C Copley, Mohit Arora, Stella A Glasmacher, Mohamed Abdelsadg, Gabrielle Scicluna, Michael T C Poon and 10 more

Open access · hybridAbstract read
In one paragraph

Article in Neuroepidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
4.7field-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.

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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Cauda equina syndrome caused by intradural migration of a bullet: A rare case presentation.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Machine learning in predicting cauda equina imaging outcomes- a solution to the problem.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Cauda Equina Syndrome in a Military Personnel: A Case Report.JNMA; journal of the Nepal Medical Association · 2023
    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

20 authors at 5 institutions in 1 country.

Julie WoodfieldCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Simon LammyInstitute of Neurological Sciences, NHS Greater Glasgow and Clyde, Glasgow, UK.
Aimun A B JamjoomCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Mohammed A G FadelallaDepartment of Neurosurgery, Ninewells Hospital, NHS Tayside, Dundee, UK.
Phillip C CopleyDepartment of Clinical Neurosciences, NHS Lothian, Edinburgh, UK.
Mohit AroraDepartment of Neurosurgery, Aberdeen Royal Infirmary, NHS Grampian, Aberdeen, UK.
Stella A GlasmacherCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Mohamed AbdelsadgInstitute of Neurological Sciences, NHS Greater Glasgow and Clyde, Glasgow, UK.
Gabrielle SciclunaQueen Elizabeth University Hospital, NHS Greater Glasgow and Clyde, Glasgow, UK.
Michael T C PoonCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Savva ProninCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Andraay H C LeungQueen Elizabeth University Hospital, NHS Greater Glasgow and Clyde, Glasgow, UK.
Stacey DarwishDepartment of Trauma and Orthopaedics, Royal Victoria Hospital, Belfast, UK.
Andreas K DemetriadesDepartment of Clinical Neurosciences, NHS Lothian, Edinburgh, UK.
Jennifer BrownInstitute of Neurological Sciences, NHS Greater Glasgow and Clyde, Glasgow, UK.
Niall EamesDepartment of Trauma and Orthopaedics, Royal Victoria Hospital, Belfast, UK.
Patrick F X StathamDepartment of Clinical Neurosciences, NHS Lothian, Edinburgh, UK.
Ingrid HoeritzauerCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
UCES Study Collaborators
British Neurosurgical Trainee Research Collaborative
NHS Lothian · GBNHS Greater Glasgow and Clyde · GBUniversity of Ulster · GBAberdeen Royal Infirmary · GBNHS Tayside · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCauda equina syndrome (CES) has significant medical, social, and legal consequences. Understanding the number of people presenting with CES and their demographic features is essential for planning healthcare services to ensure timely and appropriate management. We aimed to establish the incidence of CES in a single country and stratify incidence by age, gender, and socioeconomic status. As no consensus clinical definition of CES exists, we compared incidence using different diagnostic criteria.

methodsAll patients presenting with radiological compression of the cauda equina due to degenerative disc disease and clinical CES requiring emergency surgical decompression during a 1-year period were identified at all centres performing emergency spinal surgery across Scotland. Initial patient identification occurred during the emergency hospital admission, and case ascertainment was checked using ICD-10 diagnostic coding. Clinical information was reviewed, and incidence rates for all demographic and clinical groups were calculated.

resultsWe identified 149 patients with CES in 1 year from a total population of 5.4 million, giving a crude incidence of 2.7 (95% CI: 2.3-3.2) per 100,000 per year. CES occurred more commonly in females and in the 30-49 years age range, with an incidence per year of 7.2 (95% CI: 4.7-10.6) per 100,000 females age 30-39. There was no association between CES and socioeconomic status. CES requiring catheterization had an incidence of 1.1 (95% CI: 0.8-1.5) per 100,000 adults per year. The use of ICD-10 codes alone to identify cases gave much higher incidence rates, but was inaccurate, with 55% (117/211) of patients with a new ICD-10 code for CES found not to have CES on clinical notes review.

conclusionCES occurred more commonly in females and in those between 30 and 49 years and had no association with socioeconomic status. The incidence of CES in Scotland is at least four times higher than previous European estimates of 0.3-0.6 per 100,000 population per year. Incidence varies with clinical diagnostic criteria. To enable comparison of rates of CES across populations, we recommend using standardized clinical and radiological criteria and standardization for population structure.

Indexed as

Cauda Equina SyndromeAdultCohort StudiesDecompression, SurgicalFemaleHumansIncidenceNeurosurgical ProceduresCauda equina syndromeDemographicsIncidenceSpine

Identifiers

PMID36315989
PMCPMC9945186
OpenAlexW4307849027

What OpenQuestion holds

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LicenceCC BY-NC
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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.