Evidence map›Paper›PMID 26989646›Full record

ArticleIntractable & rare diseases research2016

Using inpatient data to estimate the prevalence of Wegener's granulomatosis in China.

Xiao Liu, Yazhou Cui, Yan Li, Chao Wang, Heng Zhao, Jinxiang Han

Abstract read
In one paragraph

Article in Intractable & rare diseases research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  6. 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

6 authors.

Xiao LiuShandong Medicinal Biotechnology Center, Key Laboratory for Biotech Drugs of the Ministry of Health, Key Laboratory for Rare Diseases of Shandong Province, Shandong Academy of Medical Sciences, Ji'nan, Shandong, China; College of Life Science and Medicine, Ji'nan University, Shandong Academy of Medical Sciences, Ji'nan, Shandong, China.
Yazhou CuiShandong Medicinal Biotechnology Center, Key Laboratory for Biotech Drugs of the Ministry of Health, Key Laboratory for Rare Diseases of Shandong Province, Shandong Academy of Medical Sciences, Ji'nan, Shandong, China; College of Life Science and Medicine, Ji'nan University, Shandong Academy of Medical Sciences, Ji'nan, Shandong, China.
Yan LiShandong Medicinal Biotechnology Center, Key Laboratory for Biotech Drugs of the Ministry of Health, Key Laboratory for Rare Diseases of Shandong Province, Shandong Academy of Medical Sciences, Ji'nan, Shandong, China; College of Life Science and Medicine, Ji'nan University, Shandong Academy of Medical Sciences, Ji'nan, Shandong, China.
Chao WangShandong Medicinal Biotechnology Center, Key Laboratory for Biotech Drugs of the Ministry of Health, Key Laboratory for Rare Diseases of Shandong Province, Shandong Academy of Medical Sciences, Ji'nan, Shandong, China; College of Life Science and Medicine, Ji'nan University, Shandong Academy of Medical Sciences, Ji'nan, Shandong, China.
Heng ZhaoShandong Medicinal Biotechnology Center, Key Laboratory for Biotech Drugs of the Ministry of Health, Key Laboratory for Rare Diseases of Shandong Province, Shandong Academy of Medical Sciences, Ji'nan, Shandong, China; College of Life Science and Medicine, Ji'nan University, Shandong Academy of Medical Sciences, Ji'nan, Shandong, China.
Jinxiang HanShandong Medicinal Biotechnology Center, Key Laboratory for Biotech Drugs of the Ministry of Health, Key Laboratory for Rare Diseases of Shandong Province, Shandong Academy of Medical Sciences, Ji'nan, Shandong, China; College of Life Science and Medicine, Ji'nan University, Shandong Academy of Medical Sciences, Ji'nan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China lacks a registry for most rare diseases, so specific epidemiological data on those diseases are lacking. A strategy involving the DISMOD II model was recently formulated to estimate the epidemiological parameters of rare diseases, and this strategy has been used to study several rare diseases. The current study used this strategy to estimate the prevalence of one such rare disease, Wegener's granulomatosis (WG), in China based on its incidence, mortality, and rate of remission according to the software tool DISMOD II. The incidence of WG was calculated based on inpatient data from 100 hospitals throughout China. The cause-specific mortality from WG was estimated based on data from the National Vital Statistics System of the United States and adjusted for the Chinese population. The rate of disease remission was based on the results of previous study. The current results indicated that the prevalence of WG in China is 1.94/100,000, which is slightly lower than that in Europe and the United States. The mean age at onset of WG in China was calculated to be 38.9 years for males and 39.3 years for females and the duration of disease was 28 years for both male and female patients. These figures are similar to published data from other countries. In conclusion, the DISMOD II model was used to estimate the prevalence of WG in China, providing a basis to evaluate the potential disease burden and orphan drug use by patients with WG. The DISMOD II model could be used to estimate the prevalence of other rare diseases.

Indexed as

ChinaDISMOD IIprevalencerare diseasesWegener's granulomatosis

Identifiers

PMID26989646
PMCPMC4761581

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