Evidence map›Paper›PMID 27492089›Full record

Trial reportCritical care (London, England)2016

Early identification of sepsis in hospital inpatients by ward nurses increases 30-day survival.

Malvin Torsvik, Lise Tuset Gustad, Arne Mehl, Inger Lise Bangstad, Liv Jorun Vinje, Jan Kristian Damås, Erik Solligård

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Critical care (London, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
8.1field-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.

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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 92 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Factors Associated With Mortality Among Septic Hospital Ward Patients.Mayo Clinic proceedings. Innovations, quality & outcomes · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Identifying infected patients using semi-supervised and transfer learning.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  15. Observational
  16. Procare : das forbildungsmagazin fur pflegeberufe · 2022
    Article
  17. Dynamic Monitoring of Systemic Biomarkers with Gastric Sensors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Article
  18. Article
  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

7 authors at 3 institutions in 1 country.

Malvin TorsvikFaculty of Health Science, Nord University, Høgskoleveien 27, N-7600, Levanger, Norway. malvin.torsvik@nord.no.ORCID 0000-0001-6317-1809
Lise Tuset GustadDepartment of Internal Medicine, Levanger Hospital, Nord-Trøndelag Hospital Trust, Kirkegata 2 A, N-7600, Levanger, Norway.
Arne MehlDepartment of Internal Medicine, Levanger Hospital, Nord-Trøndelag Hospital Trust, Kirkegata 2 A, N-7600, Levanger, Norway.
Inger Lise BangstadDepartment of Internal Medicine, Levanger Hospital, Nord-Trøndelag Hospital Trust, Kirkegata 2 A, N-7600, Levanger, Norway.
Liv Jorun VinjeDepartment of Internal Medicine, Levanger Hospital, Nord-Trøndelag Hospital Trust, Kirkegata 2 A, N-7600, Levanger, Norway.
Jan Kristian DamåsMid-Norway Sepsis Research Group, Faculty of Medicine, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
Erik SolligårdMid-Norway Sepsis Research Group, Faculty of Medicine, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
Norwegian University of Science and Technology · NOLevanger Hospital · NONord University · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSystemic inflammatory response syndrome (SIRS) and sepsis are now frequently identified by observations of vital signs and detection of organ failure during triage in the emergency room. However, there is less focus on the effect on patient outcome with better observation and treatment at the ward level.

methodsThis was a before-and-after intervention study in one emergency and community hospital within the Mid-Norway Sepsis Study catchment area. All patients with confirmed bloodstream infection have been prospectively registered continuously since 1994. Severity of sepsis, observation frequency of vital signs, treatment data, length of stay (LOS) in high dependency and intensive care units, and mortality were retrospectively registered from the patients' medical journals.

resultsThe post-intervention group (n = 409) were observed better and had higher odds of surviving 30 days (OR 2.7, 95 % CI 1.6, 4.6), lower probability of developing severe organ failure (0.7, 95 % CI 0.4, 0.9), and on average, 3.7 days (95 % CI 1.5, 5.9 days) shorter LOS than the pre-intervention group (n = 472).

conclusionsIn a cohort with stable mortality rates, early sepsis recognition by ward nurses may have reduced progression of disease and improved survival for patients in hospital with sepsis.

Indexed as

Hospital MortalityAgedAged, 80 and overCohort StudiesFemaleHumansInpatientsIntensive Care UnitsLength of StayMaleMiddle AgedNorwayNursing Staff, HospitalOrgan Dysfunction ScoresPatients' RoomsRisk AssessmentAdherenceIn-hospitalSepsisSurvivalSystemic inflammatory response syndrome

Identifiers

PMID27492089
PMCPMC4974789
OpenAlexW2484962430

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.