Evidence map›Paper›PMID 39252105›Full record

SynthesisOrphanet journal of rare diseases2024

A systematic review of studies that estimated the burden of chronic non-communicable rare diseases using disability-adjusted life years.

Claudia Cruz Oliveira, Periklis Charalampous, Julien Delaye, Diana Alecsandra Grad, Pavel Kolkhir, Enkeleint A Mechili, Brigid Unim, Brecht Devleesschauwer, Juanita A Haagsma

Abstract readSystematic Review
In one paragraph

Synthesis in Orphanet journal of rare diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  5. Review
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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.

Claudia Cruz OliveiraDepartment of Public Health, Erasmus MC University Medical Center, Rotterdam, The Netherlands. c.cruzoliveira@erasmusmc.nl.ORCID 0000-0002-3385-290X
Periklis CharalampousDepartment of Public Health, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Julien DelayeEuropean Organisation for Rare Diseases (EURORDIS), Paris, France.
Diana Alecsandra GradDepartment of Public Health, Babes-Bolyai University, Cluj-Napoca, Romania.
Pavel KolkhirInstitute of Allergology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
Enkeleint A MechiliClinic of Social and Family Medicine, School of Medicine, University of Crete, Crete, Greece.
Brigid UnimDepartment of Cardiovascular, Endocrine-Metabolic Diseases and Aging, Istituto Superiore Di Sanità, Rome, Italy.
Brecht DevleesschauwerDepartment of Epidemiology and Public Health, Sciensano, Brussels, Belgium.
Juanita A HaagsmaDepartment of Public Health, Erasmus MC University Medical Center, Rotterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInitiatives aiming to assess the impact of rare diseases on population health might be hampered due to the complexity of disability-adjusted life years (DALYs) estimation. This study aimed to give insight into the epidemiological data sources and methodological approaches used in studies that estimated DALYs for chronic non-communicable rare diseases (CNCRD), and compare its results.

methodsA literature strategy was developed for peer-review search in Embase and Medline, and also performed on grey literature databases and population health and/or rare disease-focused websites. We included studies that determined the burden of CNCRD listed on the Orphanet's and/or the Genetic and Rare Diseases information center (GARD) websites. We excluded communicable and occupational diseases, rare cancers, and cost-effectiveness/benefit studies. Two researchers independently screened the identified records and extracted data from the final included studies. We used the Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER) statement to assess the quality of reporting of the included studies. The data synthesis depicted the studies' characteristics, their distribution by geographic coverage and the group of disease(s) they focused on, the methods and data input sources used and estimated DALY per case.

resultsIn total, 533 titles were screened, and 18 studies were included. These studies covered 19 different CNCRDs, of which most fell in the disease category "Diseases of the nervous system". Diverse methodological approaches and data input sources were observed among burden of CNCRD studies. A wide range of DALY per case was observed across the different studies and diseases included.

conclusionsA low number of burden of CNCRD studies was observed and most estimates resulted from multi-country studies, underlining the importance of international cooperation to further CNCRD research. This study revealed a lack of epidemiological data and harmonization of methods which hampers comparisons across burden of CNCRD studies.

Indexed as

Disability-Adjusted Life YearsRare DiseasesChronic DiseaseCost of IllnessHumansNoncommunicable DiseasesQuality-Adjusted Life YearsDisability-adjusted life yearsMethodsPopulation healthRare diseasesReview

Identifiers

PMID39252105
PMCPMC11384705

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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.