Evidence map›Paper›PMID 31663598›Full record

ArticleActa dermato-venereologica2020

Early-stage Mycosis Fungoides: Epidemiology and Prognosis.

Andrew Maguire, Jorge Puelles, Patrick Raboisson, Rajeev Chavda, Sylvie Gabriel, Susan Thornton

Abstract read
In one paragraph

Article in Acta dermato-venereologica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
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

32 citing papers in PubMed.

  1. Diagnostic delay in mycosis fungoides: Insights from China's first multicentre registry of 305 patients.Journal of the European Academy of Dermatology and Venereology : JEADV · 2026
    Article
  2. Article
  3. Article
  4. Mycosis fungoides and Sézary syndrome.British journal of haematology · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  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

6 authors.

Andrew MaguireDepartment of Epidemiology, EpiFocus ltd, E11 2RJ London, United Kingdom. andy.maguire@epifocus.net.
Jorge Puelles
Patrick Raboisson
Rajeev Chavda
Sylvie Gabriel
Susan Thornton

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most patients with mycosis fungoides are diagnosed with early-stage disease. However, prevalence of early-stage disease is unknown, and evidence of its burden is scarce. The aim of this study is to estimate the prevalence of early-stage mycosis fungoides, how long patients live with early-stage disease and to characterise these patients. Data were obtained from 4 key publications and from US cancer registries (Surveillance, Epidemiology and End Results Program; SEER). The derived incidence of early-stage mycosis fungoides was 0.26/100,000 (UK), 0.29/100,000 (US) and 0.38/100,000 (US-SEER) and the prevalence was 4.8/100,000 (UK), 5.2/100,000 (US) and 6.6/100,000 (US-SEER). Early-stage disease may last for 18 years. From SEER registries, 3,132 were diagnosed at early stage (mostly stage IA). Median age at diagnosis was 58 years. Compared with stage IA, the relative risk of death was 1.3 for stage IB and 3.5 for stage IIA. We confirm the rarity of early-stage mycosis fungoides, a differential prognosis and the potential for elevated burden of disease.

Indexed as

Disease ProgressionFemaleHumansMaleMiddle AgedMycosis FungoidesNeoplasm StagingPrognosisSkin Neoplasmsepidemiologymycosis fungoidesprevalenceprognosisstage

Identifiers

PMID31663598
PMCPMC9128921

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.