Evidence map›Paper›PMID 36304237›Full record

SynthesisFrontiers in public health2022

Prevalence of sepsis among adults in China: A systematic review and meta-analysis.

Siyuan Lei, Xuanlin Li, Hulei Zhao, Yang Xie, Jiansheng Li

Registry-linked trialOpen access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07655791 (Evaluation of the Efficacy and Safety of Oral Nicotinamide as an Adjunctive Therapy in Patients With Sepsis), which is not on this map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 4% 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.

NCT07655791 phase4not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Evaluation of the Efficacy and Safety of Oral Nicotinamide as an Adjunctive Therapy in Patients With Sepsis

TypeinterventionalSponsorAin Shams UniversityRan2026 to 2027Enrolled60ConditionsSepsis - to Reduce Mortality in the Intensive Care UnitArmsNicotinamide 1000 mg
3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Prevalence, treatment, and outcomes of sepsis during rapid response team calls: A systematic review and meta-analysis.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2026
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  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
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  11. Review
  12. Review
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  14. Bacteriological Spectrum and Drug Resistance Among Patients Associated With Bloodstream Infection in Intensive Care Units in the Affiliated Hospital of Jiaxing University From 2021 to 2023.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
    Article
  15. Article
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  19. Review
  20. 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.

Siyuan LeiCo-Construction Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases by Henan & Education Ministry of P.R. China, Henan University of Chinese Medicine, Zhengzhou, China.
Xuanlin LiCo-Construction Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases by Henan & Education Ministry of P.R. China, Henan University of Chinese Medicine, Zhengzhou, China.
Hulei ZhaoDepartment of Respiratory Diseases, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China.
Yang XieDepartment of Respiratory Diseases, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China.
Jiansheng LiCo-Construction Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases by Henan & Education Ministry of P.R. China, Henan University of Chinese Medicine, Zhengzhou, China.
First Affiliated Hospital of Henan University · CNZhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sepsis is a major public health problem that cannot be ignored in China and even in the world. However, the prevalence of sepsis in Chinese adults varies among different studies. Objective: To evaluate the prevalence of hospital-wide sepsis and intensive care unit (ICU) sepsis in Chinese adults. Methods: PubMed, EMBASE, Cochrane Library, Web of science, China National Knowledge Infrastructure, Chinese biomedical literature service system, Wanfang Database, and VIP databases were systematically searched for studies on sepsis in China published before March 2, 2022. Random effects model was used to calculate pooled prevalence estimates with 95% confidence interval. Subgroup and sensitivity analyses were performed to address heterogeneity. Funnel plots and Egger's test were used to assess the publication bias. Results: Overall, nine observational studies involving 324,020 Chinese patients (9,587 patients with sepsis) were analyzed. Four hospital-wide studies involving 301,272 patients showed pooled prevalence and mortality of 3.8% (95% CI: 2.9-4.7%, Conclusions: Sepsis is prevalent in 25.5% of ICU patients in China, and sex, sepsis severity, infection site, causative microorganism, and infection type are significant influencing factors. Larger trials are needed to evaluate the prevalence of sepsis in China, which may help the development of global strategies for sepsis management. Systematic review registration: PROSPERO, identifier: CRD42022314274.

Indexed as

SepsisShock, SepticAdultChinaHumansIntensive Care UnitsMalePrevalenceChinameta-analysisprevalencesepsissystematic review

Identifiers

PMID36304237
PMCPMC9596150
OpenAlexW4304185482

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.