Evidence map›Paper›PMID 34972157›Full record

ArticlePloS one2021

Prevalence and incidence of neuromuscular conditions in the UK between 2000 and 2019: A retrospective study using primary care data.

Iain M Carey, Emma Banchoff, Niranjanan Nirmalananthan, Tess Harris, Stephen DeWilde, Umar A R Chaudhry, Derek G Cook

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 pooled it
3.4field-weighted citation impact, top 6% 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

37 citing papers in PubMed, 3 syntheses or guidelines pooled it, 51 citations in OpenAlex.

  1. Pooled it
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  4. Article
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  8. Observational
  9. Charcot-Marie-Tooth disease and related neuropathies.Nature reviews. Disease primers · 2026
    Review
  10. Article
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  12. Inherited Peripheral Neuropathies.Neurologic clinics · 2025
    Review
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  15. Evaluation of the impact of defining observable time in real-world data on outcome incidence.Journal of the American Medical Informatics Association : JAMIA · 2025
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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

7 authors at 2 institutions in 1 country.

Iain M CareyPopulation Health Research Institute, St George's, University of London, London, United Kingdom.ORCID 0000-0003-1099-8460
Emma BanchoffPopulation Health Research Institute, St George's, University of London, London, United Kingdom.
Niranjanan NirmalananthanDepartment of Neurology, St George's Hospital NHS Trust, London, United Kingdom.
Tess HarrisPopulation Health Research Institute, St George's, University of London, London, United Kingdom.
Stephen DeWildePopulation Health Research Institute, St George's, University of London, London, United Kingdom.
Umar A R ChaudhryPopulation Health Research Institute, St George's, University of London, London, United Kingdom.
Derek G CookPopulation Health Research Institute, St George's, University of London, London, United Kingdom.
St George's, University of London · GBSt George's Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the UK, large-scale electronic primary care datasets can provide up-to-date, accurate epidemiological information on rarer diseases, where specialist diagnoses from hospital discharges and clinic letters are generally well recorded and electronically searchable. Current estimates of the number of people living with neuromuscular disease (NMD) have largely been based on secondary care data sources and lacked direct denominators.

objectiveTo estimate trends in the recording of neuromuscular disease in UK primary care between 2000-2019.

methodsThe Clinical Practice Research Datalink (CPRD) database was searched electronically to estimate incidence and prevalence rates (per 100,000) for a range of NMDs in each year. To compare trends over time, rates were age standardised to the most recent CPRD population (2019).

resultsApproximately 13 million patients were actively registered in each year. By 2019, 28,230 active patients had ever received a NMD diagnosis (223.6), which was higher among males (239.0) than females (208.3). The most common classifications were Guillain-Barre syndrome (40.1), myasthenia gravis (33.7), muscular dystrophy (29.5), Charcot-Marie-Tooth (29.5) and inflammatory myopathies (25.0). Since 2000, overall prevalence grew by 63%, with the largest increases seen at older ages (≥65-years). However, overall incidence remained constant, though myasthenia gravis incidence has risen steadily since 2008, while new cases of muscular dystrophy fell over the same period.

conclusionsLifetime recording of many NMDs on primary care records exceed current estimates of people living with these conditions; these are important data for health service and care planning. Temporal trends suggest this number is steadily increasing, and while this may partially be due to better recording, it cannot be simply explained by new cases, as incidence remained constant. The increase in prevalence among older ages suggests increases in life expectancy among those living with NMDs may have occurred.

Indexed as

AdolescentAdultAgedCharcot-Marie-Tooth DiseaseChildChild, PreschoolDatabases, FactualElectronic Health RecordsFemaleGuillain-Barre SyndromeHumansIncidenceInfantInfant, NewbornMaleMiddle Aged

Identifiers

PMID34972157
PMCPMC8719665
OpenAlexW4205718497

What OpenQuestion holds

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LicenceCC BY
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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.