Evidence map›Paper›PMID 20459716›Full record

ArticleCritical care (London, England)2010

Reducing mortality in severe sepsis with the implementation of a core 6-hour bundle: results from the Portuguese community-acquired sepsis study (SACiUCI study).

Teresa Cardoso, António Henriques Carneiro, Orquídea Ribeiro, Armando Teixeira-Pinto, Altamiro Costa-Pereira

Registry-linked trialOpen access · goldAbstract readMulticenter Study
In one paragraph

Article in Critical care (London, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01804764 (Educational and Organizational Intervention's Effect on Severe Sepsis and Septic Shock Management Out of Intensive Care Units), which is not on this map. Cited by 45 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 5 pooled it
7.8field-weighted citation impact, top 2% 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.

NCT01804764 completednot on this mapstarted 2011, after this paper: background citation

Educational and Organizational Intervention's Effect on Severe Sepsis and Septic Shock Management Out of Intensive Care Units: Medical Wards and Emergency Departments

TypeobservationalSponsorUniversity of Milano BicoccaRan2011 to 2013Enrolled1,123ConditionsSevere Sepsis
3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 5 syntheses or guidelines pooled it, 120 citations in OpenAlex.

  1. Guideline
  2. [S3 Guideline Sepsis-prevention, diagnosis, therapy, and aftercare : Long version].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2020
    Guideline
  3. Pooled it
  4. Guideline
  5. Pooled it
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Impact of prior antibiotic therapy on severe necrotizing soft-tissue infections in ICU patients: results from a French retrospective and observational study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2022
    Observational
  12. Article
  13. Article
  14. Epidemiology of Sepsis Syndrome among Intensive Care Unit Patients at a Tertiary University Hospital in Palestine in 2019.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2020
    Article
  15. Immune Response in Bacterial andEuropean journal of microbiology & immunology · 2019
    Review
  16. Review
  17. Review
  18. Review
  19. Article
  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 3 institutions in 1 country.

Teresa CardosoUnidade de Cuidados Intensivos Polivalente, Hospital Geral de Santo António, University of Porto, Largo Prof, Abel Salazar, 4099-001 Porto, Portugal. cardoso.tmc@gmail.com
António Henriques Carneiro
Orquídea Ribeiro
Armando Teixeira-Pinto
Altamiro Costa-Pereira
Universidade do Porto · PTCentre for Health Technology and Services Research · PTHospital de Santo António · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTo evaluate the impact of compliance with a core version of the Surviving Sepsis Campaign 6-hour bundle on 28 days mortality.

methodsCohort, multi-centre, prospective study on community-acquired sepsis (CAS).

resultsSeventeen intensive care units (ICU) entered the study. Over a one year period, 4,142 patients were enrolled in the study. Of the 897 (24%) admitted with CAS, 778 (87%) had severe sepsis or septic shock on ICU admission. In the first six hours of hospital admission: (1) 62% had serum lactate measured; (2) 69% fluids administered; (3) 77% specimens collected for microbiology before antibiotic administration; (4) 48% blood cultures obtained; (5) 52% antibiotics administered within the first hour of the diagnosis; (6) vasopressors were given in 78%; (7) 56% had central venous measurement (CVP) measurement; (8) 17% had a central venous oxygen saturation (ScvO2) measurement; (9) dobutamine was administered in 52%. Compliance with all actions 1 to 6 (core bundle) was associated with an odds ratio (OR) of 0.44 [95% confidence interval (CI) = 0.24-0.80] in severe sepsis and 0.49 (95% CI = 0.25-0.95) in septic shock, for 28 days mortality. This corresponded to a number needed to treat of 6 patients to save one life.

conclusionsCompliance with this core bundle was associated with a significant reduction in the 28 days mortality. Urgent action should be taken in order to ensure that early sepsis diagnosis is followed by full completion of this "core bundle" followed by activation of expertise help in severe sepsis.

Indexed as

AdultAgedCohort StudiesCommunity-Acquired InfectionsConfidence IntervalsCritical CareFemaleHospital MortalityHumansIntensive Care UnitsMaleMiddle AgedOdds RatioPortugalProspective StudiesSepsis

Identifiers

PMID20459716
PMCPMC2911711
OpenAlexW2104202214

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.