Evidence map›Paper›PMID 34103049›Full record

ArticleOrphanet journal of rare diseases2021

Demographics, in-hospital analysis, and prevalence of 33 rare diseases with effective treatment in Shanghai.

Xiaoshu Cai, Georgi Z Genchev, Ping He, Hui Lu, Guangjun Yu

Open access · goldAbstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2021. 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
0.9field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Healthcare Burden of Rare Diseases: A Population-Based Study in Tuscany (Italy).International journal of environmental research and public health · 2022
    Article
  7. The definition of rare disease in China and its prospects.Intractable & rare diseases research · 2022
    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

5 authors at 3 institutions in 1 country.

Xiaoshu Cai *Center for Biomedical Informatics, Shanghai Children's Hospital, Shanghai, China.
Georgi Z Genchev *Center for Biomedical Informatics, Shanghai Children's Hospital, Shanghai, China.
Ping HeShanghai Hospital Development Center, Shanghai, China.
Hui LuCenter for Biomedical Informatics, Shanghai Children's Hospital, Shanghai, China.
Guangjun YuCenter for Biomedical Informatics, Shanghai Children's Hospital, Shanghai, China. gjyu@shchildren.com.cn.
Shanghai Children's Hospital · CNShanghai Hospital Development Center · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRare diseases are ailments which impose a heavy burden on individual patients and global society as a whole. The rare disease management landscape is not a smooth one-a rare disease is quite often hard to diagnose, treat, and investigate. In China, the country's rapid economic rise and development has brought an increased focus on rare diseases. At present, there is a growing focus placed on the importance and public health priority of rare diseases and on improving awareness, definitions, and treatments.

methodsIn this work we utilized clinical data from the Shanghai HIE System to characterize the status of 33 rare diseases with effective treatment in Shanghai for the time period of 2013-2016. RESULTS AND

conclusionFirst, we describe the total number of patients, year-to-year change in new patients with diagnosis in one of the target diseases and the distribution of gender and age for the top six (by patient number) diseases of the set of 33 rare diseases. Second, we describe the hospitalization burden in terms of in-hospital ratio, length of stay, and medical expenses during hospitalization. Finally, rare disease period prevalence is calculated for the rare diseases set.

Indexed as

HospitalizationRare DiseasesChinaHospitalsHumansPrevalenceChinaEpidemiologyHealth care policyOrphan diseaseRare diseaseRare disease prevalenceShanghai

Identifiers

PMID34103049
PMCPMC8186176
OpenAlexW3169755916

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.