Evidence map›Paper›PMID 35354386›Full record

ArticleBMC nephrology2022

Incidence and cost of haemolytic uraemic syndrome in urban China: a national population-based analysis.

Jingnan Feng, Ke Xu, Xinmiao Shi, Lu Xu, Lili Liu, Fang Wang, Xuhui Zhong, Guozhen Liu, Jinxi Wang, Pei Gao and 3 more

Abstract read
In one paragraph

Article in BMC nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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  6. Genome Sequence Analysis and Characterization of Shiga Toxin 2 Production byFrontiers in cellular and infection microbiology · 2022
    Article
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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

13 authors.

Jingnan Feng *Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Haidian District, No.38, Xueyuan Rd, Beijing, China.
Ke Xu *Department of Pediatric, Peking University First Hospital, No.1 Xi An Men Da Jie, Beijing, China.
Xinmiao ShiDepartment of Pediatric, Peking University First Hospital, No.1 Xi An Men Da Jie, Beijing, China.
Lu XuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Haidian District, No.38, Xueyuan Rd, Beijing, China.
Lili LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Haidian District, No.38, Xueyuan Rd, Beijing, China.
Fang WangDepartment of Pediatric, Peking University First Hospital, No.1 Xi An Men Da Jie, Beijing, China.
Xuhui ZhongDepartment of Pediatric, Peking University First Hospital, No.1 Xi An Men Da Jie, Beijing, China.
Guozhen LiuPeking University Health Information Technology Co. Ltd, Beijing, China.
Jinxi WangShanghai Songsheng Business Consulting Co. LTD, Beijing, China.
Pei GaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Haidian District, No.38, Xueyuan Rd, Beijing, China.
Jie Ding *Department of Pediatric, Peking University First Hospital, No.1 Xi An Men Da Jie, Beijing, China. djnc_5855@126.com.
Shengfeng Wang *Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Haidian District, No.38, Xueyuan Rd, Beijing, China. shengfeng1984@126.com.
Siyan Zhan *Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Haidian District, No.38, Xueyuan Rd, Beijing, China. Siyan-zhan@bjmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHaemolytic uraemic syndrome (HUS) is a severe syndrome that causes a substantial burden for patients and their families and is the leading cause of acute kidney injury in children. However, data on the epidemiology and disease burden of HUS in Asia, including China, are limited. We aimed to estimate the incidence and cost of HUS in China. 

methodsData about HUS from 2012 to 2016 were extracted from the Urban Employee Basic Medical Insurance (UEBMI) and Urban Resident Basic Medical Insurance (URBMI) databases. All cases were identified by ICD code and Chinese diagnostic terms. The 2016 national incidence rates were estimated and stratified by sex, age and season. The associated medical costs were also calculated.

resultsThe crude incidence of HUS was 0.66 per 100,000 person-years (95% CI: 0.35 to 1.06), and the standardized incidence was 0.57 (0.19 to 1.18). The incidence of HUS in males was slightly higher than that in females. The age group with the highest incidence of HUS was patients < 1 year old (5.08, 95% CI: 0.23 to 24.87), and the season with the highest incidence was autumn, followed by winter. The average cost of HUS was 2.15 thousand US dollars per patient, which was higher than the national average cost for all inpatients in the same period.

conclusionsThis is the first population-based study on the incidence of HUS in urban China. The age and seasonal distributions of HUS in urban China are different from those in most developed countries, suggesting a difference in aetiology.

Indexed as

Acute Kidney InjuryHemolytic-Uremic SyndromeChildChinaFemaleHumansIncidenceInfantMaleSeasonsCostHaemolytic uraemic syndromeIncidenceInsurance database

Identifiers

PMID35354386
PMCPMC8969241

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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.