Evidence map›Paper›PMID 32389104›Full record

ArticleCritical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine2020

Temporal trend and survival impact of infection source among patients with sepsis: a nationwide study.

Yueh-Sheng Chen, Tin-Yun Liao, Tzu-Chun Hsu, Wan-Ting Hsu, Meng-Tse G Lee, Chien-Chang Lee, National Taiwan University Hospital Biomedical Data Science Research Group

Abstract read
In one paragraph

Article in Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine, 2020. 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
  2. Observational
  3. Article
  4. Review
  5. Review
  6. Validation of MEWS, NEWS, NEWS-2 and qSOFA for different infection foci at the emergency department, the acutelines cohort.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
    Article
  7. Review
  8. Clinical phenotypes of sepsis: a narrative review.Journal of thoracic disease · 2024
    Review
  9. Serum Thrombomodulin Level Can Predict Mortality in Patients With Sepsis?Medical archives (Sarajevo, Bosnia and Herzegovina) · 2023
    Observational
  10. Review
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

7 authors.

Yueh-Sheng ChenDepartment of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Tin-Yun LiaoDepartment of Physical Medicine and Rehabilitation, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.
Tzu-Chun HsuDepartment of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Wan-Ting HsuDepartment of Epidemiology, Harvard TH Chan School of Public Health, Boston, USA.
Meng-Tse G LeeDepartment of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Chien-Chang LeeDepartment of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan. 009099@ntuh.gov.tw.
National Taiwan University Hospital Biomedical Data Science Research Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo determine the temporal trends of incidence and outcome based on different sources of sepsis using a nationwide administrative database.

methodsFrom 2002 to 2012, the entire Taiwan's health insurance claims data of emergency-treated and hospital-treated sepsis were analysed for incidence and mortality trends. The information about patients with sepsis and sources of sepsis was identified using a set of validated International Classification of Diseases, ninth revision, clinical modification (ICD-9-CM) codes. The 30-day all-cause mortality was verified by linked death certificate database.

resultsA total of 1 259 578 episodes of sepsis were identified during the 11-year study period. Lower respiratory tract infection is the most common source of sepsis in patients, with the highest mortality rate. The incidence of genitourinary tract infection has the fastest growing rate. The sepsis mortality was declining at different rates for each source of sepsis. Co-infections in patients with sepsis are associated with higher mortality rate.

conclusionThe temporal trends of sepsis incidence and mortality varied among different sources of sepsis, with lower respiratory tract being the highest burden among patients with sepsis. Furthermore, sources of sepsis and the presence of co-infection are independent predictors of mortality. Our results support source-specific preventive and treatment strategies for future sepsis management.

Indexed as

Emergency Service, HospitalFemaleFemale Urogenital DiseasesHospital MortalityHumansIncidenceInternational Classification of DiseasesMaleMale Urogenital DiseasesRespiratory Tract InfectionsSepsisTaiwanUrinary Tract Infections

Identifiers

PMID32389104
PMCPMC10692484

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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.