Evidence map›Paper›PMID 38000823›Full record

ArticleBMJ open2023

Geospatial analysis of the hospitalisation rate of patients with rheumatoid arthritis in Hunan: a cross-sectional Chinese study.

Yan Ge, Shiwen Wang, Qianshan Shi, Jingcheng Shi, Jing Tian

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 37% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 2 institutions in 1 country.

Yan Ge *Department of Rheumatology and Immunology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.ORCID 0000-0003-4378-6990
Shiwen Wang *Department of Epidemiology and Medical Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
Qianshan ShiInformation Statistics Center of Health Commission of Hunan Province, Changsha, Hunan, China.
Jingcheng Shi *Department of Epidemiology and Medical Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China shijch@csu.edu.cn tianjing001@csu.edu.cn.ORCID 0000-0001-8071-5927
Jing Tian *Department of Rheumatology and Immunology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China shijch@csu.edu.cn tianjing001@csu.edu.cn.
Central South University · CNHealth Commission of Anhui Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveLittle is known about spatial variability of hospitalisation rate (HR) of patients with rheumatoid arthritis (RA) worldwide, especially in China.

methodsA cross-sectional study was conducted among patients with RA admitted to hospitals in Hunan Province. Global Moran's

resultsThere were a total of 11 599 admissions, and the average HR was 1.57 per 10 000 population in Hunan. We detected different cluster patterns of the HR among patients with RA by local indicators of spatial association. Age, ethnicity, average temperature, average temperature range, average rainfall, regions, gross domestic product per capita, and doctors and hospitals per 10 000 people were risk factors for the HR. However, only average temperature, gross domestic product per capita and hospitals per 10 000 people showed different regression coefficients on the HR in different counties. The increase in hospitals increased the probability of HR from east to west in Hunan with a positive coefficient, while temperature decreases increased the risk of HR from south to north negatively. Similarly, the growth of gross domestic product per capita decreased the probability of HR from southwest to northeast.

conclusionA non-random spatial distribution of the HR of patients with RA was demonstrated in Hunan, and average temperature, gross domestic product per capita and hospitals per 10 000 people showed different regression coefficients on the HR in different counties. Our study indicated that spatial and geostatistics may be useful approaches for further study among patients with RA.

Indexed as

Arthritis, RheumatoidChinaCross-Sectional StudiesHospitalizationHumansRisk FactorsSpatial RegressionEpidemiologyHealth Services for the AgedHospitalizationRHEUMATOLOGY

Identifiers

PMID38000823
PMCPMC10679990
OpenAlexW4388980189

What OpenQuestion holds

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Registered trials

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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.