Evidence map›Paper›PMID 36706102›Full record

ArticlePloS one2023

When months matter; modelling the impact of the COVID-19 pandemic on the diagnostic pathway of Motor Neurone Disease (MND).

Ella Burchill, Vishal Rawji, Katy Styles, Siobhan Rooney, Patrick Stone, Ronan Astin, Nikhil Sharma

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. 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
0.2field-weighted citation impact, top 48% 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, 2 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

7 authors at 4 institutions in 1 country.

Ella BurchillFaculty of Life Sciences and Medicine, King's College London, London, United Kingdom.ORCID 0000-0002-1674-8844
Vishal RawjiDepartment of Clinical and Movement Neurosciences, Queen Square Institute of Neurology, University College London, London, United Kingdom.ORCID 0000-0001-7291-0204
Katy StylesWe Care Campaign.
Siobhan RooneyNorth Ireland MND Association.
Patrick StoneMarie Curie Palliative Care Research Department, Division of Psychiatry, University College London, London, United Kingdom.ORCID 0000-0002-5765-9047
Ronan AstinNeuromuscular complex care centre, UCLH, London, United Kingdom.
Nikhil SharmaDepartment of Clinical and Movement Neurosciences, Queen Square Institute of Neurology, University College London, London, United Kingdom.ORCID 0000-0001-8903-2938
University College Hospital · GBKing's College London · GBNational Hospital for Neurology and Neurosurgery · GBUniversity College London · GB

Funding

Marie Curie MCCC-FCH-18-UMarie Curie MCCC-FCO-11-U
6 · The paper itself

Abstract

backgroundA diagnosis of MND takes an average 10-16 months from symptom onset. Early diagnosis is important to access supportive measures to maximise quality of life. The COVID-19 pandemic has caused significant delays in NHS pathways; the majority of GP appointments now occur online with subsequent delays in secondary care assessment. Given the rapid progression of MND, patients may be disproportionately affected resulting in late stage new presentations. We used Monte Carlo simulation to model the pre-COVID-19 diagnostic pathway and then introduced plausible COVID-19 delays.

methodsThe diagnostic pathway was modelled using gamma distributions of time taken: 1) from symptom onset to GP presentation, 2) for specialist referral, and 3) for diagnosis reached after neurology appointment. We incorporated branches to simulate delays: when patients did not attend their GP and when the GP consultation did not result in referral. An emergency presentation was triggered when diagnostic pathway time was within 30 days of projected median survival. Total time-to-diagnosis was calculated over 100,000 iterations. The pre-COVID-19 model was estimated using published data and the Improving MND Care Survey 2019. We estimated COVID-19 delays using published statistics.

resultsThe pre-COVID model reproduced known features of the MND diagnostic pathway, with a median time to diagnosis of 399 days and predicting 5.2% of MND patients present as undiagnosed emergencies. COVID-19 resulted in diagnostic delays from 558 days when only primary care was 25% delayed, to 915 days when both primary and secondary care were 75%. The model predicted an increase in emergency presentations ranging from 15.4%-44.5%. INTERPRETATIONS: The model suggests the COVID-19 pandemic will result in later-stage diagnoses and more emergency presentations of undiagnosed MND. Late-stage presentations may require rapid escalation to multidisciplinary care. Proactive recognition of acute and late-stage disease with altered service provision will optimise care for people with MND.

Indexed as

COVID-19Motor Neuron DiseaseCOVID-19 TestingHumansPandemicsQuality of LifeSecondary Health Care

Identifiers

PMID36706102
PMCPMC9882907
OpenAlexW4318263470

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.