Evidence map›Paper›PMID 33682481›Full record

ArticleAnnals of the Royal College of Surgeons of England2021

Suspected cauda equina syndrome: no reduction in investigation, referral and treatment during the COVID-19 pandemic.

J Woodfield, P M Brennan, Pfx Statham, J Stone, I Hoeritzauer

Open access · greenAbstract read
In one paragraph

Article in Annals of the Royal College of Surgeons of England, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

J WoodfieldUniversity of Edinburgh, UK.
P M BrennanUniversity of Edinburgh, UK.
Pfx StathamNHS Lothian, UK.
J StoneUniversity of Edinburgh, UK.
I HoeritzauerUniversity of Edinburgh, UK.
University of Edinburgh · GBNHS Lothian · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCompression of the cauda equina can lead to bladder, bowel and sexual dysfunction with lower limb pain, numbness and weakness. Urgent surgical decompression aims to prevent progressive neurological deficit. Symptoms of cauda equina syndrome (CES), such as back pain, sciatica and bladder dysfunction are common in the population, but the majority of those investigated do not have radiological cauda equina compression. However, a missed diagnosis can have significant medical, social and legal consequences. We investigated the effect of the COVID-19 pandemic on presentation and management of suspected CES.

methodsThis retrospective cohort study analysed referral, investigation and treatment of CES in a regional neurosurgical centre during the initial COVID-19 surge between March and May 2020 compared with March to May 2019.

resultsReferrals for suspected CES were similar during the COVID-19 pandemic (

conclusionsUnlike other emergency neurosurgical conditions, the number of referrals for suspected CES and the percentage of referrals with radiological cauda equina compression were unchanged during the COVID-19 pandemic. The persistence of CES referrals when many people stayed away from hospital highlights the distress and worry caused by suspected CES and its symptoms to both patients and healthcare providers.

Indexed as

Cauda Equina SyndromeCOVID-19HumansNeurosurgical ProceduresReferral and ConsultationRetrospective StudiesScotlandCauda equina syndromeCOVID-19EpidemiologyNeurosurgeryOrthopaedics

Identifiers

PMID33682481
PMCPMC10335066
OpenAlexW3135549582

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.