Evidence map›Paper›PMID 31203252›Full record

ArticleBMJ open2019

Prevalence of Charcot-Marie-Tooth disease across the lifespan: a population-based epidemiological study.

Alice Theadom, Richard Roxburgh, Erin MacAulay, Gina O'Grady, Joshua Burns, Priya Parmar, Kelly Jones, Miriam Rodrigues, Impact CMT Research Group

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 19% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Spectrum of Hereditary Neuropathies in Adult Patients From Serbia.Journal of the peripheral nervous system : JPNS · 2026
    Article
  3. The neuropathy-causingbioRxiv : the preprint server for biology · 2026
    Article
  4. Charcot-Marie-Tooth disease and related neuropathies.Nature reviews. Disease primers · 2026
    Review
  5. Review
  6. Inherited Peripheral Neuropathies.Neurologic clinics · 2025
    Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Hip Dysplasia in Patients with Charcot-Marie-Tooth Disease: Unraveling an Underrecognized Condition.Journal of the Pediatric Orthopaedic Society of North America · 2024
    Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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

9 authors at 3 institutions in 2 countries.

Alice TheadomNational Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand.ORCID 0000-0003-0351-6216
Richard RoxburghAuckland City Hospital, Auckland, New Zealand.
Erin MacAulayAuckland City Hospital, Auckland, New Zealand.
Gina O'GradyAuckland City Hospital, Auckland, New Zealand.
Joshua BurnsFaculty of Health Sciences, The University of Sydney, Sydney, Australia.
Priya ParmarNational Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand.
Kelly JonesNational Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand.ORCID 0000-0001-5692-653X
Miriam RodriguesAuckland City Hospital, Auckland, New Zealand.
Impact CMT Research Group
Auckland City Hospital · NZAuckland University of Technology · NZThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis population-based study aimed to determine age-standardised prevalence of Charcot-Marie-Tooth disease (CMT) across the lifespan using multiple case ascertainment sources.

designPoint-prevalence epidemiological study in the Auckland Region of New Zealand (NZ).

settingMultiple case ascertainment sources including primary care centres, hospital services, neuromuscular disease registry, community-based organisations and self-referral were used to identify potentially eligible participants.

participantsAdults (≥16 years, n=207, 87.7%) and children (<16 years, n=29, 12.3%) with a confirmed clinical or molecular diagnosis of CMT, hereditary sensory neuropathy, hereditary motor neuropathy or hereditary neuropathy with liability to pressure palsies who resided in the Auckland Region of NZ on 1 June 2016. PRIMARY OUTCOME: Prevalence per 100 000 persons with 95% CIs by subtype, age and sex were calculated and standardised to the world population.

resultsAge-standardised point prevalence of all CMT cases was 15.7 per 100 000 (95% CI 11.6 to 21.0). Highest prevalence was identified in those aged 50-64 years 25.2 per 100 000 (95% CI 19.4 to 32.6). Males had a higher prevalence (16.6 per 100 000, 95% CI 10.9 to 25.2) than females (14.6 per 100 000, 95% CI 9.6 to 22.4). Prevalence of CMT1A was 6.9 per 100 000 (95% CI 5.6 to 8.4). The majority (93.2%) of cases were identified through medical records, with 6.8% of cases uniquely identified through community sources.

conclusionsA small but significant proportion of people with CMT are not connected to healthcare services. Epidemiological studies using medical records alone to identify cases may risk underestimating prevalence. Further studies using population-based methods and reporting age-standardised prevalence are needed to improve global understanding of the epidemiology of CMT.

Indexed as

Charcot-Marie-Tooth DiseaseAdultAge of OnsetChildFemaleGenetic TestingHumansMaleMiddle AgedNew ZealandPatient Acceptance of Health CarePopulation Health ManagementPrevalenceRegistriescharcot-marie-tooth diseasecmtepidemiologyhereditary neuropathyregistries

Identifiers

PMID31203252
PMCPMC6585838
OpenAlexW2949063096

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.