ArticleBMC public health2021
Spatial distribution and determinants of health loss from Kashin-Beck disease in Bin County, Shaanxi Province, China.
Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 17 citations in OpenAlex.
- Article
- County-Level Hotspot Identification and Spatial Regression Analysis of Health Loss from Kashin-Beck Disease - China, 2019 and 2023.China CDC weekly · 2025Article
- Association Between Soil Patterns and Mortality with Distinct Types of Cancers and CVD Across the USA.Life (Basel, Switzerland) · 2025Article
- Prevalence and Risk Factors of Depression in Patients With Endemic Osteoarthritis Kashin-Beck Disease.Depression and anxiety · 2025Article
- Geodetector analysis of individual and joint impacts of natural and human factors on maternal and child health at the provincial scale.Scientific reports · 2024Article
- Disease and Economic Burden of Kashin-Beck Disease - China, 2021.China CDC weekly · 2024Article
- Comparative Analysis of Gut Microbiota from Rats Induced by Se Deficiency and T-2 Toxin.Nutrients · 2023Article
- A study on atypical Kashin-Beck disease: an endemic ankle arthritis.Journal of orthopaedic surgery and research · 2023Article
- A study of primary health care service efficiency and its spatial correlation in China.BMC health services research · 2023Article
- Ten years of China's new healthcare reform: a longitudinal study on changes in health resources.BMC public health · 2021Article
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 at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundKashin-Beck disease (KBD) is one of the major endemic diseases in China, which severely impacts the physical health and life quality of people. A better understanding of the spatial distribution of the health loss from KBD and its influencing factors will help to identify areas and populations at high risk so as to plan for targeted interventions.
methodsThe data of patients with KBD at village-level were collected to estimate and analyze the spatial pattern of health loss from KBD in Bin County, Shaanxi Province. The years lived with disability (YLDs) index was applied as a measure of health loss from KBD. Spatial autocorrelation methodologies, including Global Moran's I and Local Moran's I, were used to describe and map spatial clusters of the health loss. In addition, basic individual information and environmental samples were collected to explore natural and social determinants of the health loss from KBD.
resultsThe estimation of YLDs showed that patients with KBD of grade II and patients over 50 years old contributed most to the health loss of KBD in Bin County. No significant difference was observed between two genders. The spatial patterns of YLDs and YLD rate of KBD were clustered significantly at both global and local scales. Villages in the southwestern and eastern regions revealed higher health loss, while those in the northern regions exhibited lower health loss. This clustering was found to be significantly related to organically bound Se in soil and poverty rate of KBD patients.
conclusionsOur results suggest that future treatment and prevention of KBD should focus on endemic areas with high organically bound Se in soil and poor economic conditions. The findings can also provide important information for further exploration of the etiology of KBD.
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.