ArticleCureus2020
Trends in Hospitalization and Inpatient Outcomes of Behçet's Disease: A Nationwide Inpatient Sample Study.
Article in Cureus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed, 3 citations in OpenAlex.
- Epidemiology and treatment of Adamantiades-Behçet's disease in Germany: A healthcare claims database study.Journal of the European Academy of Dermatology and Venereology : JEADV · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective After an extensive review of the literature, we discovered that no study had addressed trends in hospitalization for people with Behçet's disease (BD). Hence, in this study, we explore multiple variables in patients with BD in the US for the year 2016. Methods We analyzed the data relating to hospitalized patients for the year 2016 using the National Inpatient Sample (NIS) database with a listed discharge diagnosis of BD based on the International Classification of Diseases, 10th Revision (ICD-10) diagnosis code M35.2. The mean age in years, alive discharges, lumbar puncture procedures, type of hospital, the Charlson Comorbidity Index (CCI), comorbidities, mean length of stay (LOS) and factors affecting it, and total cost and charges for the admissions were analyzed. A p-value of <.05 was considered statistically significant. Results A total of 2,605 discharges with the diagnoses of BD were identified among 35.7 million overall discharges in 2016. Among patients hospitalized with underlying BD, the majority were white and female. The mean hospital LOS was 5.57 ± 0.37 days, which is higher than in the general population and statistically significant (5.57 days vs 4.62 days; p: 0.009). Mean LOS in patients undergoing lumbar puncture was 8.54 ± 2.91 days. Patients with BD had lower medical comorbidity burden (16.9% with a CCI of ≥3) vs the general population (24.67% with a CCI of ≥3) (p: 0.00). Medical comorbidities with a statistically significant difference in their prevalence in the two groups were renal disease, dementia, peptic ulcer disease, heart failure, rheumatologic disorders, malignancy, and dyslipidemia. Conclusion Increased awareness about this rare condition in an inpatient setting will help in the early identification of the disease and associated complications. This will help caregivers to provide quality care in a timely manner, thereby decreasing the morbidity, mortality, LOS, and hospital costs associated with BD.
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.