Evidence map›Paper›PMID 40775651›Full record

ArticleOrphanet journal of rare diseases2025

Spectrum and epidemiology of rare diseases in a Chinese natural population of 14.31 million residents, 2012-2023.

Ming-Jia Li, Qi Li, Miao-Miao Zhao, Hanna Kim, Ruo-Qi Feng, Mo-Ning Guo, Jian-Peng Heng, Jin-Kui Yang, Chang Liu

Abstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

9 authors.

Ming-Jia LiDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Qi LiBeijing Diabetes Institute, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Miao-Miao ZhaoDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Hanna KimDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Ruo-Qi FengDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Mo-Ning GuoBeijing Municipal Health Commission Information Center, Beijing, 100034, China.
Jian-Peng HengBeijing Municipal Health Commission Information Center, Beijing, 100034, China.
Jin-Kui YangDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China. jkyang@ccmu.edu.cn.ORCID http://orcid.org/0000-0002-5430-2149
Chang LiuDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China. changliu@ccmu.edu.cn.

Funding

National Natural Science Foundation of China 82341076
6 · The paper itself

Abstract

backgroundRare diseases, though individually uncommon, collectively affect a significant portion of the population. However, their epidemiology in China remains underexplored. A population-based rare disease registry comprising 14.31 million individuals was conducted between 2012 and 2023 by the Beijing Municipal Health Big Data and Policy Research Center. Rare disease cases were identified via ICD-10 codes mapped to China's national rare disease lists (2018 and 2023) and international databases. Age-standardized incidence rates (ASIR) were calculated per 100,000 person-years with 95% confidence intervals.

resultsOur analysis identified 12,371 rare disease cases, with the overall ASIR increasing from 6.109 in 2012 to 7.394 in 2023. Rare neurologic diseases accounted for 52.12% of cases, followed by systemic and rheumatologic diseases (16.89%) and rare neoplastic diseases (9.99%). The most frequently diagnosed rare diseases included generalized myasthenia gravis, ANCA-associated vasculitis, and malignant melanoma. Significant sex-based differences were observed, with female patients more affected by systemic and rheumatologic conditions, while male patients showed a higher incidence of respiratory disorders. Pediatric patients predominantly presented with inborn errors of metabolism and rare immune diseases. Comparisons with global data revealed notable disparities, such as a higher prevalence of Wilson's disease and a lower incidence of amyotrophic lateral sclerosis (ALS) in China.

conclusionsThis study represents the first large-scale, population-based analysis of rare diseases in China, revealing distinct epidemiological patterns. These findings underscore the critical need for healthcare policies that address the unique challenges posed by rare diseases in China.

Indexed as

Rare DiseasesAdolescentAdultAgedChildChild, PreschoolChinaEast Asian PeopleFemaleHumansIncidenceInfantInfant, NewbornMaleMiddle AgedRegistriesANCA-associated vasculitisGeneralized myasthenia gravisIncidenceMalignant melanomaPopulation-based studyPrevalenceRare diseaseWilson’s disease

Identifiers

PMID40775651
PMCPMC12333119

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.