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Cochrane Database of Systematic Reviews

Interventions for hereditary haemochromatosis

Overview of attention for article published in Cochrane database of systematic reviews, March 2017
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100 Mendeley
Interventions for hereditary haemochromatosis
Published in
Cochrane database of systematic reviews, March 2017
DOI 10.1002/14651858.cd011647.pub2
Pubmed ID

Elena Buzzetti, Maria Kalafateli, Douglas Thorburn, Brian R Davidson, Emmanuel Tsochatzis, Kurinchi Selvan Gurusamy


Hereditary haemochromatosis is a genetic disorder related to proteins involved in iron transport, resulting in iron load and deposition of iron in various tissues of the body. This iron overload leads to complications including liver cirrhosis (and related complications such as liver failure and hepatocellular carcinoma), cardiac failure, cardiac arrhythmias, impotence, diabetes, arthritis, and skin pigmentation. Phlebotomy (venesection or 'blood letting') is the currently recommended treatment for hereditary haemochromatosis. The optimal treatment of hereditary haemochromatosis remains controversial. To assess the comparative benefits and harms of different interventions in the treatment of hereditary haemochromatosis through a network meta-analysis and to generate rankings of the available treatments according to their safety and efficacy. However, we found only one comparison. Therefore, we did not perform the network meta-analysis and we assessed the comparative benefits and harms of different interventions using standard Cochrane methodology. We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, Science Citation Index Expanded, World Health Organization International Clinical Trials Registry Platform, and randomised clinical trials registers to March 2016 to identify randomised clinical trials on treatments for hereditary haemochromatosis. We included only randomised clinical trials (irrespective of language, blinding, or publication status) in participants with hereditary haemochromatosis. We excluded trials which included participants who had previously undergone liver transplantation. We considered any of the various interventions compared with each other or with inactive treatment. We used standard methodological procedures expected by Cochrane. We calculated the odds ratio (OR) and rate ratio with 95% confidence intervals (CI) using both fixed-effect and random-effects models with RevMan 5 based on available-participant analysis. We assessed risk of bias according to Cochrane, controlled risk of random errors with Trial Sequential Analysis, and assessed the quality of the evidence using GRADE. Three trials with 146 participants met the inclusion criteria of this review. Two parallel group trials with 100 participants provided information on one or more outcomes. The remaining trial was a cross-over trial, with no usable data for analysis. All the trials were at high risk of bias. Overall, all the evidence was of very low quality. All three trials compared erythrocytapheresis (removal of red cells only, instead of whole blood) versus phlebotomy. Two of the trials shared the same first author. The mean or median age in the three trials ranged from 42 to 55 years. None of the trials reported whether the included participants were symptomatic or asymptomatic or a mixture of both. Two trials were conducted in people who were haemochromatosis treatment-naive. The trial that provided most data for this review excluded people with malignancy, heart failure, and serious cardiac arrhythmias. We found no trials assessing iron-chelating agents.Only one of the trials with 38 participants reported no short-term mortality and no serious adverse events at the end of the short-term follow-up (eight months). Two trials reported the proportion of people with adverse events: 10/49 (20.4%) in the erythrocytapheresis group versus 11/51 (21.6%) in the phlebotomy group. One of these two trials provided data on adverse event rates (42.1 events per 100 participants with erythrocytapheresis versus 52.6 events per 100 participants with phlebotomy). There was no evidence of differences in the proportion of people with adverse events and the number of adverse events (serious and non-serious) between the groups (proportion of people with adverse events: OR 0.93, 95% CI 0.36 to 2.43; participants = 100; trials = 2; number of adverse events: rate ratio 0.80, 95% CI 0.32 to 2.03; participants = 38; trial = 1). There was no difference between the groups regarding short-term health-related quality of life (mean difference (MD) 1.00, 95% CI -10.80 to 12.80; participants = 38; trials = 1). This outcome was measured using EQ-VAS (range: 0 to 100 where a higher score indicates better health-related quality of life). None of the trials reported mortality beyond one year, health-related quality of life beyond one year, liver transplantation, decompensated liver disease, cirrhosis, hepatocellular carcinoma, diabetes, or cardiovascular complications during the long-term follow-up.The two trials that provided data for this review were funded by parties with no vested interest in the results; the source of funding of the third trial was not reported. There is currently insufficient evidence to determine whether erythrocytapheresis is beneficial or harmful compared with phlebotomy. Phlebotomy has less equipment requirements and remains the treatment of choice in people with hereditary haemochromatosis who require blood letting in some form. However, it should be noted that there is no evidence from randomised clinical trials that blood letting in any form is beneficial in people with hereditary haemochromatosis. Having said this, a trial including no treatment is unlikely to be conducted. Future trials should compare different frequencies of phlebotomy and erythrocytapheresis versus phlebotomy with and without different iron-chelating agents compared with each other, and with placebo. Such trials should include long-term follow-up of participants (e.g. using national record linkage databases) to determine whether treatments are beneficial or harmful in terms of clinical outcomes such as deaths, health-related quality of life, liver damage and its consequences, heart damage and its consequences, and other outcomes that are of importance to people with hereditary haemochromatosis.

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 14%
Other 9 9%
Student > Postgraduate 8 8%
Student > Master 8 8%
Student > Ph. D. Student 6 6%
Other 16 16%
Unknown 39 39%
Readers by discipline Count As %
Medicine and Dentistry 29 29%
Nursing and Health Professions 7 7%
Pharmacology, Toxicology and Pharmaceutical Science 5 5%
Biochemistry, Genetics and Molecular Biology 5 5%
Business, Management and Accounting 3 3%
Other 8 8%
Unknown 43 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 February 2018.
All research outputs
of 22,958,253 outputs
Outputs from Cochrane database of systematic reviews
of 12,334 outputs
Outputs of similar age
of 308,016 outputs
Outputs of similar age from Cochrane database of systematic reviews
of 287 outputs
Altmetric has tracked 22,958,253 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,334 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.6. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 308,016 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 287 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.