Evidence map›Paper›PMID 36870989›Full record

ArticleCritical care (London, England)2023

National incidence and mortality of hospitalized sepsis in China.

Li Weng, Yang Xu, Peng Yin, Yi Wang, Yan Chen, Wei Liu, Shan Li, Jin-Min Peng, Run Dong, Xiao-Yun Hu and 6 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Critical care (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07167173 (Predictive Model for Multidrug Resistance in Patients Admitted to the Emergency Department With Sepsis), which is not on this map. Cited by 117 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
117citing papers in PubMed, 4 pooled it
33.5field-weighted citation impact, top 1% 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.

NCT07167173 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Predictive Model for Multidrug Resistance in Patients Admitted to the Emergency Department With Sepsis

TypeobservationalSponsorHospital Italiano de Buenos AiresRan2025 to 2025Enrolled10,000ConditionsSepsis, Septic Shock
3 · Its place in the literature

Who cites it

117 citing papers in PubMed, 4 syntheses or guidelines pooled it, 152 citations in OpenAlex.

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57 more citing papers are in PubMed but not listed here.

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

16 authors at 5 institutions in 2 countries.

Li Weng *Medical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, 1 Shuai Fu Yuan, Beijing, 100730, China.
Yang Xu *Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China.
Peng Yin *National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27 Nanwei Road, Beijing, 100050, China.
Yi WangMedical Record Department, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yan ChenMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, 1 Shuai Fu Yuan, Beijing, 100730, China.
Wei LiuNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27 Nanwei Road, Beijing, 100050, China.
Shan LiMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, 1 Shuai Fu Yuan, Beijing, 100730, China.
Jin-Min PengMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, 1 Shuai Fu Yuan, Beijing, 100730, China.
Run DongMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, 1 Shuai Fu Yuan, Beijing, 100730, China.
Xiao-Yun HuMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, 1 Shuai Fu Yuan, Beijing, 100730, China.
Wei JiangMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, 1 Shuai Fu Yuan, Beijing, 100730, China.
Chun-Yao WangMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, 1 Shuai Fu Yuan, Beijing, 100730, China.
Pei GaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Mai-Geng ZhouNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27 Nanwei Road, Beijing, 100050, China. maigengzhou@126.com.
Bin DuMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, 1 Shuai Fu Yuan, Beijing, 100730, China. dubin98@gmail.com.
China Critical Care Clinical Trials Group (CCCCTG)
Peking Union Medical College Hospital · CNNational Center for Chronic and Noncommunicable Disease Control and Prevention · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNPeking University · CNPeking University First Hospital · CN

Funding

Chinese Academy of Medical Sciences Initiative for Innovative Medicine 2021-I2M-1-062National Key Research and Development Program of China 2021YFC2500801
6 · The paper itself

Abstract

backgroundSepsis is a leading cause of preventable death around the world. Population-based estimation of sepsis incidence is lacking in China. In this study, we aimed to estimate the population-based incidence and geographic variation of hospitalized sepsis in China.

methodsWe retrospectively identified hospitalized sepsis from the nationwide National Data Center for Medical Service (NDCMS) and the National Mortality Surveillance System (NMSS) by ICD-10 codes for the period from 2017 to 2019. In-hospital sepsis case fatality and mortality rate were calculated to extrapolate the national incidence of hospitalized sepsis. The geographic distribution of hospitalized sepsis incidence was examined using Global Moran's Index.

resultsWe identified 9,455,279 patients with 10,682,625 implicit-coded sepsis admissions in NDCMS and 806,728 sepsis-related deaths in NMSS. We estimated that the annual standardized incidence of hospitalized sepsis was 328.25 (95% CI 315.41-341.09), 359.26 (95% CI 345.4-373.12) and 421.85 (95% CI 406.65-437.05) cases per 100,000 in 2017, 2018 and 2019, respectively. We observed 8.7% of the incidences occurred among neonates less than 1 year old, 11.7% among children aged 1-9 years, and 57.5% among elderly older than 65 years. Significant spatial autocorrelation for incidence of hospitalized sepsis was observed across China (Moran's Index 0.42, p = 0.001; 0.45, p = 0.001; 0.26, p = 0.011 for 2017, 2018, 2019, respectively). Higher number of hospital bed supply and higher disposable income per capita were significantly associated with a higher incidence of hospitalized sepsis.

conclusionOur study showed a greater burden of sepsis hospitalizations than previous estimated. The geographical disparities suggested more efforts were needed in prevention of sepsis.

Indexed as

SepsisAgedChildChinaHospitalizationHumansIncidenceInfantInfant, NewbornRetrospective Studies

Identifiers

PMID36870989
PMCPMC9985297
OpenAlexW4323074810

What OpenQuestion holds

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LicenceCC BY
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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.