Evidence map›Paper›PMID 39190906›Full record

ArticleJMIR public health and surveillance2024

Patterns of the Health and Economic Burden of 33 Rare Diseases in China: Nationwide Web-Based Study.

Jiazhou Yu, Shanquan Chen, Huanyu Zhang, Shuyang Zhang, Dong Dong

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. What Drives Public Preference for Rare Drugs Coverage in China? Insights From a Multi-Center Discrete Choice Experiment.Health expectations : an international journal of public participation in health care and health policy · 2026
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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

5 authors.

Jiazhou YuJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Sha Tin, China (Hong Kong).ORCID 0000-0002-9249-2721
Shanquan ChenInternational Centre for Evidence in Disability, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0002-4724-4892
Huanyu ZhangShenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China.ORCID 0000-0001-6480-2510
Shuyang Zhang *Department of Cardiology, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China.ORCID 0000-0002-1532-0029
Dong Dong *Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Sha Tin, China (Hong Kong).ORCID 0000-0001-9784-6472

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRare diseases (RDs) affect millions of individuals collectively worldwide, contributing to significant burdens on patients and families in various aspects. However, there is a lack of evidence on the underlying patterns of burdens among diverse RDs for informing targeted social and health policies to address the unmet needs of this vulnerable population.

objectiveThis study aimed to examine the underlying patterns of the health and economic burden of 33 different RDs in China and identify the potential determinants.

methodsA nationwide internet-based cross-sectional survey was conducted in China between 2019 and 2020. Physical and mental health burden was measured by health-related quality of life. Economic burden was evaluated based on the proportions of direct medical, direct nonmedical, and indirect costs relative to household income. We used cluster analysis to identify patterns of health and economic burdens and conducted multinomial logistic regression to explore potential predictors of cluster membership.

resultsThe study included 8454 adults and 8491 children affected by 33 RDs. The following 3 clusters were identified: "extremely high burden" (representing 92/8454, 1.1% and 19/8491, 0.2% of adult and pediatric patients, respectively), "overall high burden" (5933/8454, 70.2% and 4864/8491, 57.3%, respectively), and "overall low burden" (2429/8454, 28.7% and 3608/8491, 42.5%, respectively). Wilson disease, Marfan syndrome, and Langerhans cell histiocytosis more likely resulted in an "extremely high burden" than others. Poverty was significantly associated with being in this extremely high burden group. Diseases causing neuromuscular symptoms and requiring long-term treatment (eg, amyotrophic lateral sclerosis, spinocerebellar ataxia, and Dravet syndrome) were prevalent in the "overall high burden" group. Key predictors of this group included older age, lower socioeconomic status, diagnostic delay, and comorbidity.

conclusionsThis study provides novel and valuable evidence on the burden of RDs in developing regions like China. The findings reveal significant disparities in the impact of RDs, emphasizing the need for targeted health care interventions and policies.

Indexed as

Cost of IllnessInternetRare DiseasesAdolescentAdultAgedChildChild, PreschoolChinaCross-Sectional StudiesFemaleHumansInfantMaleMiddle AgedSurveys and QuestionnairesburdenChinaeconomicpatternquality of liferare disease

Identifiers

PMID39190906
PMCPMC11387910

What OpenQuestion holds

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LicenceCC BY
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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.