Evidence map›Paper›PMID 31218170›Full record

ArticleIntractable & rare diseases research2019

The progress of, challenges faced by, and future of rare disease patient organizations in China.

Rufang Huang, Yunshu Wei, Jiahao Hu, Fanxin Kong, Jiangjiang He, Yan Yang, Mi Tang, Chunlin Jin, Qi Kang

Abstract read
In one paragraph

Article in Intractable & rare diseases research, 2019. 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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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.

Rufang HuangChinese Organization for Rare Disorders, Shanghai, China.
Yunshu WeiChinese Organization for Rare Disorders, Shanghai, China.
Jiahao HuDepartment of Learning, Informatics, Management and Ethics, Karolinska Institutet, Solna, Sweden.
Fanxin KongSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.
Jiangjiang HeDepartment of Health Policy Research, Shanghai Health Development Research center, Shanghai Medical Information Center, Shanghai, China.
Yan YangDepartment of Health Policy Research, Shanghai Health Development Research center, Shanghai Medical Information Center, Shanghai, China.
Mi TangDepartment of Health Policy Research, Shanghai Health Development Research center, Shanghai Medical Information Center, Shanghai, China.
Chunlin JinDepartment of Health Policy Research, Shanghai Health Development Research center, Shanghai Medical Information Center, Shanghai, China.
Qi KangDepartment of Health Policy Research, Shanghai Health Development Research center, Shanghai Medical Information Center, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In addition to difficulties with treatment and expenses, patients with rare diseases in China greatly lack social support. In around 2000, Chinese patients with rare diseases and their families began to organize a series of charitable activities such as medical aid, public education, and policy advocacy. After nearly 20 years, organizations for Chinese patients with rare diseases have progressed. Many problems still remain, including a relatively small number of organizations, a low level of specialization, a lack of stability, limited social influence, and limited access to social resources. In order to spur the development of Chinese rare disease patient organizations, public education needs to be enhanced, policy support is needed, teams need to be created, and communication and cooperation need to be enhanced.

Indexed as

Chinapatient organizationRare disease

Identifiers

PMID31218170
PMCPMC6557240

What OpenQuestion holds

Textmetadata
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.