Evidence map›Paper›PMID 33046132›Full record

ArticleOrphanet journal of rare diseases2020

The urgent need to empower rare disease organizations in China: an interview-based study.

Xuefeng Li, Zijuan Lu, Jianyong Zhang, Xiangyu Zhang, Shu Zhang, Jincheng Zhou, Bingzhe Li, Li Ou

Open access · goldAbstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.4field-weighted citation impact, top 4% 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

14 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. 'Advocacy groups are the connectors': Experiences and contributions of rare disease patient organization leaders in advanced neurotherapeutics.Health expectations : an international journal of public participation in health care and health policy · 2022
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. 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

8 authors at 7 institutions in 2 countries.

Xuefeng LiShenzhen Luohu People's Hospital, The Third Affiliated Hospital of Shenzhen University, Shenzhen, 518001, People's Republic of China.
Zijuan LuSchool of Humanities, Tongji University, Shanghai, 200092, People's Republic of China.
Jianyong ZhangJinhaishiji, 333 Jichanglu, Panzhihua, Sichuan, 617000, People's Republic of China.
Xiangyu ZhangSchool of Statistics, University of Minnesota, Minneapolis, MN, 55455, USA.
Shu ZhangDepartment of Oral Implantology, The Affiliated Stomatology Hospital of Kunming Medical University, Kunming, 650106, People's Republic of China.
Jincheng ZhouCenter for Design and Analysis, Amgen Inc., Thousand Oaks, CA, 91320, USA.
Bingzhe LiSchool of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, 74078, USA.
Li OuGene Therapy Center, Department of Pediatrics, University of Minnesota, 5-174 MCB, 420 Washington Ave SE, Minneapolis, MN, 55455, USA. ouxxx045@umn.edu.ORCID 0000-0002-7743-5649
University of Minnesota · USAmgen (United States) · USKunming Medical University · CNOklahoma State University · USPanzhihua University · CNShenzhen University · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEach rare disease only affects a small number of population. However, a total of 7000 rare diseases may affect 10% of the population. Due to the severity and lack of rare disease awareness, rare disease represents a huge challenge for the healthcare system. In Western countries, patient organizations have been playing an integral role in raising awareness, advocating legislation, and supporting drug development. This study aims to assess the unmet needs of rare disease patient organizations in China, and identify their unmet needs, providing essential information for the government and legislators.

resultsA total of 28 individuals representing 28 patient organizations in China were interviewed. Most organizations do not have official registration, employees, written standard operation protocol, or reliable financial resources. Misdiagnosis or delayed diagnosis is common, and treatment is often lacking. Due to the lack of financial resources, no organizations have been able to sponsor academic research, unlike their counterparts in Western countries. As to challenges, 71.4% of interviewees listed lack of rare disease awareness among the general public, while 67.9% selected lack of financial resources. Further, only 7.3% of these organizations received support from the government, and 28.6% received support from the general public. As to recommendations to the government, 82.1% of interviewees selected special insurance programs for rare diseases because rare diseases have been generally excluded from the national medical insurance programs. In addition, 78.6% of interviewees recommended to stimulate rare disease research, 75% recommended to import orphan drugs, and 71.4% recommended legislation of an orphan drug act, highlighting the urgent need of therapies.

conclusionsDue to lack of support and rare disease awareness, patient organizations in China are still in the early phase. To empower these patient organizations, the interviewees' recommendations, including legislating orphan drug act and releasing official definition of rare diseases, should be considered by the government and legislators.

Indexed as

Orphan Drug ProductionRare DiseasesChinaDelivery of Health CareHumansChinaPatient organizationsQuestionnaireRare disease

Identifiers

PMID33046132
PMCPMC7552513
OpenAlexW3092501100

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.