Evidence map›Paper›PMID 26922941›Full record

ArticleHealth and quality of life outcomes2016

Quality of life utility values for hereditary haemochromatosis in Australia.

Barbara de Graaff, Amanda Neil, Kristy Sanderson, Kwang Chien Yee, Andrew J Palmer

Open access · goldAbstract read
In one paragraph

Article in Health and quality of life outcomes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
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  7. Article
  8. Article
  9. Article
  10. Haemochromatosis.Nature reviews. Disease primers · 2018
    Review
  11. Article
  12. 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

5 authors at 1 institution in 1 country.

Barbara de GraaffMenzies Institute for Medical Research, University of Tasmania, Medical Sciences Building 1, 17 Liverpool St, Private Bag 23, Hobart, TAS, 7000, Australia.
Amanda NeilMenzies Institute for Medical Research, University of Tasmania, Medical Sciences Building 1, 17 Liverpool St, Private Bag 23, Hobart, TAS, 7000, Australia.
Kristy SandersonMenzies Institute for Medical Research, University of Tasmania, Medical Sciences Building 1, 17 Liverpool St, Private Bag 23, Hobart, TAS, 7000, Australia.
Kwang Chien YeeSchool of Medicine, University of Tasmania, Medical Sciences Building 2, 17 Liverpool St, Private Bag 68, Hobart, TAS, 7000, Australia.
Andrew J PalmerMenzies Institute for Medical Research, University of Tasmania, Medical Sciences Building 1, 17 Liverpool St, Private Bag 23, Hobart, TAS, 7000, Australia. Andrew.Palmer@utas.edu.au.
University of Tasmania · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHereditary hemochromatosis (HH) is a common autosomal recessive disorder amongst persons of northern European heritage. If untreated, iron accumulates in parenchymal tissues causing morbidity and mortality. As diagnosis often follows irreversible organ damage, screening programs have been suggested to increase early diagnosis. A lack of economic evidence has been cited as a barrier to establishing such a program. Previous analyses used poorly estimated utility values. This study sought to measure utilities directly from people with HH in Australia.

methodsVolunteers with HH were recruited to complete a web-based survey. Utility was assessed using the Assessment of Quality of Life 4D (AQOL-4D) instrument. Severity of HH was graded into four categories. Multivariable regression analysis was performed to identify parameters associated with HSUV.

resultsBetween November 2013 and November 2014, 221 people completed the survey. Increasing severity of HH was negatively associated with utility. Mean (standard deviation) utilities were 0.76 (0.21), 0.81 (0.18), 0.60 (0.27), and 0.50 (0.27) for categories 1-4 HH respectively. Lower mean utility was found for symptomatic participants (categories 3 and 4) compared with asymptomatic participants (0.583 v. 0.796). Self-reported HH-related symptoms were negatively associated with HSUV (r = -0.685).

conclusionsSymptomatic stages of HH and presence of multiple self-reported symptoms were associated with decreasing utility. Previous economic analyses have used higher utilities which likely resulted in underestimates of the cost effectiveness of HH interventions. The utilities reported in this paper are the most robust available, and will contribute to improving the validity of future economic models for HH.

Indexed as

Health StatusSeverity of Illness IndexAdultAustraliaFemaleHemochromatosisHumansMaleMiddle AgedQuality of LifeSickness Impact Profile

Identifiers

PMID26922941
PMCPMC4770680
OpenAlexW2290651714

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.