Evidence map›Paper›PMID 39653412›Full record

ArticleBMJ (Clinical research ed.)2024

Mortality and risk of diabetes, liver disease, and heart disease in individuals with haemochromatosis

Mathis Mottelson, Jens Helby, Børge Grønne Nordestgaard, Christina Ellervik, Thomas Mandrup-Poulsen, Jesper Petersen, Stig Egil Bojesen, Andreas Glenthøj

Abstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Medicina (Kaunas, Lithuania) · 2026
    Pooled it
  2. Iron overload cardiomyopathy.Heart failure reviews · 2026
    Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Associations Between theGastroenterology research · 2025
    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

8 authors.

Mathis MottelsonDanish Red Blood Cell Center, Department of Hematology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.ORCID 0000-0001-8736-2618
Jens HelbyDanish Red Blood Cell Center, Department of Hematology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.ORCID 0000-0002-1876-8187
Børge Grønne NordestgaardDepartment of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-1954-7220
Christina EllervikDepartment of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-3088-4375
Thomas Mandrup-PoulsenDepartment of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-3215-9273
Jesper PetersenDanish Red Blood Cell Center, Department of Hematology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.ORCID 0000-0001-6116-5114
Stig Egil BojesenDepartment of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-4061-4133
Andreas GlenthøjDanish Red Blood Cell Center, Department of Hematology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark andreas.glenthoej@regionh.dk.ORCID 0000-0003-2082-0738

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo test whether haemochromatosis

designProspective cohort study.

settingThree Danish general population cohorts: the Copenhagen City Heart Study, the Copenhagen General Population Study, and the Danish General Suburban Population Study.

participants132 542 individuals genotyped for the

main outcome measureHospital contacts and deaths, retrieved from national registers, covering all hospitals and deaths in Denmark.

resultsComparing C282Y homozygotes with non-carriers, hazard ratios were 1.72 (95% confidence interval (CI) 1.24 to 2.39) for diabetes, 2.22 (1.40 to 3.54) for liver disease, and 1.01 (0.78 to 1.31) for heart disease. Depending on age group, the absolute five year risk of diabetes was 0.54-4.3% in C282Y homozygous women, 0.37-3.0% in non-carrier women, 0.86-6.8% in C282Y homozygous men, and 0.60-4.80% in non-carrier men. When studied according to levels of iron, transferrin saturation, and ferritin in a single blood sample obtained at study enrolment, risk of diabetes was increased in C282Y homozygotes with normal transferrin saturation (hazard ratio 2.00, 95% CI 1.04 to 3.84) or ferritin (3.76, 1.41 to 10.05) and in C282Y homozygotes with normal levels of both ferritin and transferrin saturation (6.49, 2.09 to 20.18). C282Y homozygotes with diabetes had a higher risk of death from any cause than did non-carriers with diabetes (hazard ratio 1.94, 95% CI 1.19 to 3.18), but mortality was not increased in C282Y homozygotes without diabetes. The percentage of all deaths among C282Y homozygotes that could theoretically be prevented if excess deaths in individuals with a specific disease were eliminated (the population attributable fraction) was 27.3% (95% CI 12.4% to 39.7%) for diabetes and 14.4% (3.1% to 24.3%) for liver disease. Risk of diabetes or liver disease was not increased in H63D heterozygotes, H63D homozygotes, C282Y heterozygotes, or C282Y/H63D compound heterozygotes.

conclusionsHaemochromatosis C282Y homozygotes with normal transferrin saturation and/or ferritin, not recommended for

Indexed as

Diabetes MellitusFerritinsHemochromatosisHemochromatosis ProteinHomozygoteIronLiver DiseasesMembrane ProteinsTransferrinAdultAgedDenmarkFemaleHeart DiseasesHistocompatibility Antigens Class IHumansFerritinsHemochromatosis ProteinHFE protein, humanHistocompatibility Antigens Class IIronMembrane ProteinsTransferrin

Identifiers

PMID39653412
PMCPMC11626441

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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.