Evidence map›Paper›PMID 31262329›Full record

ArticleOrphanet journal of rare diseases2019

Rare diseases in China: analysis of 2014-2015 hospitalization summary reports for 281 rare diseases from 96 tertiary hospitals.

Xinmiao Shi, Hui Liu, Siyan Zhan, Zhaoxia Wang, Lin Wang, Chongya Dong, Yanfang Wang, Chen Yao, Jie Ding, Yan Li

Open access · goldAbstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

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  8. Healthcare Burden of Rare Diseases: A Population-Based Study in Tuscany (Italy).International journal of environmental research and public health · 2022
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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

10 authors at 2 institutions in 1 country.

Xinmiao ShiDepartment of Pediatrics, Peking University First Hospital, Beijing, China.
Hui LiuMedical Informatics Center, Peking University, Beijing, China.
Siyan ZhanDepartment of Epidemiology and Bio-statistics, School of Public Health, Peking University Health Science Centre, Beijing, China.
Zhaoxia WangDepartment of Neurology, Peking University First Hospital, Beijing, China.
Lin WangBeijing Society of Rare Diseases, Beijing, China.
Chongya DongDepartment of Biostatistics, Peking University First Hospital, Beijing, China.
Yanfang WangPeking University Clinical Research Institute, Beijing, China.
Chen YaoDepartment of Biostatistics, Peking University First Hospital, Beijing, China.
Jie DingDepartment of Pediatrics, Peking University First Hospital, Beijing, China. djnc_5855@126.com.
Yan LiDepartment of Hospital Administration of Peking University Health Science Centre, Peking University, Beijing, China. liyan8290@163.com.
Peking University · CNPeking University First Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are many public health issues to resolve regarding rare diseases, including a lack of data from large-scale studies. The objective of this study was to explore fundamental data for a list of rare diseases in China, based on a hospitalization summary reports (HSRs) database. The Target Rare Diseases List (TRDL) 2017 was generated using an expert consensus method in which experts listed diseases according to research priorities. Using codes of the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10) and key search terms of rare diseases in English and Chinese, data were obtained from HSRs of 96 hospitals, covering a population of over 15 million in China from 2014 to 2015. We extracted and analyzed information on demographics, hospitalizations, and readmissions.

resultsA total 281 rare diseases were included in the TRDL 2017. Altogether, 106,746 hospitalizations for a rare disease were captured from 1 January 2014 to 31 December 2015, accounting for 0.69% of inpatients during the same period. The top 10 rare diseases with most cases on the TRDL 2017 were thalassemia, idiopathic pulmonary arterial hypertension, pulmonary Langerhans cell histiocytosis, moyamoya disease, motor neuron disease, idiopathic pulmonary fibrosis, systemic sclerosis, hepatolenticular degeneration, coarctation of the aorta, and transposition of the great arteries. Among the 24 cities in the database, the five cities with the most types of the rare disease were Beijing, Changsha, Guangzhou, Shanghai, and Chengdu, with 191, 162, 143, 141, and 133 types, respectively. The five cities with most cases of the 281 rare diseases were Beijing, Guangzhou, Shanghai, Nanning, and Chengdu. The age distribution of rare diseases was 52% for the age group 25-64 years, and 27% of cases in the age group of 0-14 years were among children. The 10 highest readmission rates ranged from 35 to 65%.

conclusionsThis study provided the TRDL 2017 and descriptive analysis of 281 rare diseases in a hospitalized population. Our study reveals important fundamental information that will be useful in national policy making and legislation; registry implementation; and diagnosis, treatment, and prevention of rare diseases in China.

Indexed as

Rare DiseasesAdolescentAdultAgedChildChild, PreschoolFemaleHospitalizationHumansInfantInfant, NewbornMaleMiddle AgedYoung AdultDatabaseHospitalizationRare diseases

Identifiers

PMID31262329
PMCPMC6604331
OpenAlexW2956122396

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.