Evidence map›Paper›PMID 37578609›Full record

ArticleAnnals of intensive care2023

Temporal trends of sepsis-related mortality in China, 2006-2020: a population-based study.

Run Dong, Wei Liu, Li Weng, Peng Yin, Jinmin Peng, Yan Chen, Shan Li, Chunyao Wang, Wei Jiang, Xiaoyun Hu and 3 more

Abstract read
In one paragraph

Article in Annals of intensive care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. 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.

Run Dong *Medical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Wei Liu *National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Li WengMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Peng YinNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Jinmin PengMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, 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, Chinese Academy of Medical Sciences, Beijing, China.
Shan LiMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Chunyao WangMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Wei JiangMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Xiaoyun HuMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Bin DuMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China. dubin98@gmail.com.ORCID http://orcid.org/0000-0001-6237-2895
Maigeng ZhouNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China. maigengzhou@126.com.
China Critical Care Clinical Trials Group (CCCCTG)

Funding

Chinese Academy of Medical Sciences Initiative for Innovative Medicine 2021-I2M-1-062
6 · The paper itself

Abstract

backgroundThe scarcity of sepsis epidemiologic data from most low- and middle-income countries (LMICs) hampered estimation of regional and global burden of the disease, and provided limited guidance for policy makers. We aimed to characterize and analyze the temporal trends of sepsis-related mortality in China, by population groups, underlying causes of death, geographic regions, and sociodemographic index (SDI) levels.

methodsSepsis-related deaths were identified from the National Mortality Surveillance System (NMSS) of China from 2006 to 2020. Trends of sepsis-related mortality and years of life lost (YLLs), stratified by age, sex, underlying diseases, and regions were analyzed using the Jointpoint regression analysis. We investigated the association of SDI with trends of sepsis-related mortality.

resultsIn 2020, sepsis was estimated to be responsible for 986,929 deaths and 17.1 million YLLs in China. Age-standardized sepsis-related mortality significantly declined from 130.2 (95%CI, 129.4-131) per 100,000 population in 2006 to 76.6 (76.3-76.9) in 2020. Age-standardized YLLs decreased from 2172.7 (2169.4-2176) per 100,000 population in 2006 to 1271 (1269.8-1272.2) in 2020. Substantial variations of sepsis-related mortality and YLLs were observed between population groups and regions, with higher burden in males, the elderly, and western China. An inverse relation was noted between SDI and sepsis-related mortality or YLLs.

conclusionsDespite declining trends of age-standardized mortality and YLLs of sepsis in China, significant disparities between population groups and regions highlight a need for targeted policies and measures to close the gaps and improve the outcome of sepsis.

Indexed as

SepsisSepsis-related mortalitySociodemographic indexTemporal trendsYears of life lost

Identifiers

PMID37578609
PMCPMC10425320

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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.