Evidence map›Paper›PMID 30556050›Full record

ArticleJNCI cancer spectrum2018

Cancer Risk in Myotonic Dystrophy Type I: Evidence of a Role for Disease Severity.

Rotana Alsaggaf, Diane Marie M St George, Min Zhan, Ruth M Pfeiffer, Youjin Wang, Kathryn R Wagner, Mark H Greene, Sania Amr, Shahinaz M Gadalla

Abstract read
In one paragraph

Article in JNCI cancer spectrum, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Disturbance of the human gut microbiota in patients with Myotonic Dystrophy type 1.Computational and structural biotechnology journal · 2024
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Cancer and Myotonic Dystrophy.Journal of clinical medicine · 2023
    Review
  12. Article
  13. A Greek National Cross-Sectional Study on Myotonic Dystrophies.International journal of molecular sciences · 2022
    Article
  14. Article
  15. Article
  16. Cellular Senescence and Aging in Myotonic Dystrophy.International journal of molecular sciences · 2022
    Review
  17. Article
  18. Review
  19. Benign tumors in myotonic dystrophy type I target disease-related cancer sites.Annals of clinical and translational neurology · 2019
    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.

Rotana AlsaggafClinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Diane Marie M St GeorgeDepartment of Epidemiology and Public Health, University of Maryland, Baltimore, MD.
Min ZhanDepartment of Epidemiology and Public Health, University of Maryland, Baltimore, MD.
Ruth M PfeifferBiostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Youjin WangClinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Kathryn R WagnerHugo W. Moser Research Institute at Kennedy Krieger Institute, Baltimore, MD.
Mark H GreeneClinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Sania AmrDepartment of Epidemiology and Public Health, University of Maryland, Baltimore, MD.
Shahinaz M GadallaClinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD.

Funding

Clinical Genetic Studies of Familial and Hereditary Cancer SyndromesZIACP010144 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI SAVAGE, SHARON A. · 2009 to 2025
$111.8M
6 · The paper itself

Abstract

backgroundMyotonic dystrophy type 1 (DM1) is an inherited trinucleotide repeat disorder in which specific cancers have been implicated as part of the disease phenotype. This study aimed to assess whether cancer risk in DM1 patients is modified by disease severity.

methodsUsing the United Kingdom Clinical Practice Research Datalink (primary care electronic medical records), we identified a cohort of 927 DM1 and a matched cohort of 13 085 DM1-free individuals between January 1, 1988 and February 29, 2016. We used Cox regression models to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs) of organ-specific cancer risks. Analyses were stratified by age at DM1 diagnosis as a surrogate for disease severity. Statistical tests were two-sided.

resultsPatients with classic DM1 (age at diagnosis: 11-40 years) were at elevated risk of cancer overall (HR = 1.81; 95% CI = 1.12 to 2.93); cancers of the thyroid (HR = 15.93; 95% CI = 2.45 to 103.64), uterus (HR = 26.76; 95% CI = 2.32 to 309.26), and cutaneous melanoma (HR = 5.98; 95% CI = 1.24 to 28.79) accounted for the excess. In late-onset DM1 patients (age at diagnosis >40 years), a reduced overall cancer risk was observed (HR = 0.53; 95% CI = 0.32 to 0.85), possibly driven by the deficit in hematological malignancies (DM1 = 0 cases, DM1-free = 54 cases;

conclusionsThe observed difference in relative cancer risk between classic and late-onset DM1 patients compared with their DM1-free counterparts provides the first evidence that disease severity modifies DM1-related cancer susceptibility. This novel finding may guide clinical management and scientific investigations for the underlying molecular mechanisms in DM-related carcinogenesis.

Identifiers

PMID30556050
PMCPMC6286884

What OpenQuestion holds

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Registered trials

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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.