ArticleIntractable & rare diseases research2016
Using inpatient data to estimate the prevalence of Wegener's granulomatosis in China.
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.
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.
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.
Who cites it
6 citing papers in PubMed.
- Minimally Invasive Surgical Approach in Granulomatosis with Polyangiitis Complicated with Intramural Descending Aorta Hematoma Followed by Aortic Wall Rupture.Diagnostics (Basel, Switzerland) · 2025Article
- Epidemiology and distribution of 207 rare diseases in China: A systematic literature review.Intractable & rare diseases research · 2024Review
- Cutaneous Deep Ulcerations as Initial Presentations of Granulomatosis with Polyangiitis: Two Case Reports and Differential Diagnosis.Medicina (Kaunas, Lithuania) · 2023Article
- Hypophosphatemic Rickets in Colombia: A Prevalence-Estimation Model in Rare Diseases. 2018.Lancet regional health. Americas · 2022Article
- Challenges in orphan drug development and regulatory policy in China.Orphanet journal of rare diseases · 2017Review
- Catastrophic expenditure and impoverishment of patients affected by 7 rare diseases in China.Orphanet journal of rare diseases · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.