Evidence map›Paper›PMID 26346055›Full record

ArticleCritical care (London, England)2015

Likelihood of infection in patients with presumed sepsis at the time of intensive care unit admission: a cohort study.

Peter M C Klein Klouwenberg, Olaf L Cremer, Lonneke A van Vught, David S Y Ong, Jos F Frencken, Marcus J Schultz, Marc J Bonten, Tom van der Poll

3 registry-linked trialsAbstract read
In one paragraph

Article in Critical care (London, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 115 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
115citing papers in PubMed, 4 pooled it
–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.

NCT01905033 unknown statusnot on this map

Molecular Diagnosis and Risk Stratification of Sepsis

Typeobservational_patient_registrySponsorAcademisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)Ran2011 to 2018Enrolled7,500ConditionsSepsis
NCT05833412 unknown statusnot on this mapstarted 2023, after this paper: background citation

Clinical Study to Improve the Quality of Care in Critically Ill Patients With Suspected Sepsis Through Early Molecular Diagnosis .

Typeobservational_patient_registrySponsorAlejandro Rodriguez Oviedo , MDRan2023 to 2024Enrolled120ConditionsSepsis, Molecular DiagnosisArmsSepticyte Rapid ®, FilmArray® blood culture identification (BCID2®)
NCT07211620 narecruitingnot on this mapstarted 2025, after this paper: background citation

KInetics of Procalcitonin to Reduce Unnecessary aNtibiotic Use (KIPRUN) - Protocol for a Multi-center, Randomized, Superiority Trial to Compare the Efficacy and Safety of Procalcitonin Kinetics-guided and Absolute Procalcitonin Value-guided Antibiotic Initiation in Reducing Unnecessary Antibiotic Therapy in Critically Ill Patients

TypeinterventionalSponsorSemmelweis UniversityRan2025 to 2027Enrolled250ConditionsInfection, SepsisArmsKinetics, Absolute
3 · Its place in the literature

Who cites it

115 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. [S3 guideline on sepsis-prevention, diagnosis, therapy, and follow-up care-update 2025].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2025
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  9. Laboratory-DetectedHealth science reports · 2026
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  12. Diagnostic accuracy of SeptiCyte® RAPID to discriminate sepsis from non-infectious critical illness in patients meeting sepsis criteria according to sepsis-3 definition at ICU admission.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Observational
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55 more citing papers are in PubMed but not listed here.

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

8 authors.

Peter M C Klein KlouwenbergDepartment of Intensive Care Medicine, University Medical Center Utrecht, Room F06.149, P.O. Box 85500, 3508, GA, Utrecht, The Netherlands. p.m.c.kleinklouwenberg@umcutrecht.nl.
Olaf L CremerDepartment of Intensive Care Medicine, University Medical Center Utrecht, Room F06.149, P.O. Box 85500, 3508, GA, Utrecht, The Netherlands. o.l.cremer@umcutrecht.nl.
Lonneke A van VughtCenter for Experimental and Molecular Medicine and Division of Infectious Diseases, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105, AZ, Amsterdam, The Netherlands. l.a.vanvught@amc.uva.nl.
David S Y OngDepartment of Intensive Care Medicine, University Medical Center Utrecht, Room F06.149, P.O. Box 85500, 3508, GA, Utrecht, The Netherlands. d.s.y.ong@umcutrecht.nl.
Jos F FrenckenDepartment of Intensive Care Medicine, University Medical Center Utrecht, Room F06.149, P.O. Box 85500, 3508, GA, Utrecht, The Netherlands. j.f.frencken@umcutrecht.nl.
Marcus J SchultzDepartment of Intensive Care Medicine, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105, AZ, Amsterdam, The Netherlands. marcus.j.schultz@gmail.com.
Marc J BontenDepartment of Medical Microbiology, University Medical Center Utrecht, P.O. Box 85500, 3508, GA, Utrecht, The Netherlands. m.j.m.bonten@umcutrecht.nl.
Tom van der PollCenter for Experimental and Molecular Medicine and Division of Infectious Diseases, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105, AZ, Amsterdam, The Netherlands. t.vanderpoll@amc.uva.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionA clinical suspicion of infection is mandatory for diagnosing sepsis in patients with a systemic inflammatory response syndrome. Yet, the accuracy of categorizing critically ill patients presenting to the intensive care unit (ICU) as being infected or not is unknown. We therefore assessed the likelihood of infection in patients who were treated for sepsis upon admission to the ICU, and quantified the association between plausibility of infection and mortality.

methodsWe studied a cohort of critically ill patients admitted with clinically suspected sepsis to two tertiary ICUs in the Netherlands between January 2011 and December 2013. The likelihood of infection was categorized as none, possible, probable or definite by post-hoc assessment. We used multivariable competing risks survival analyses to determine the association of the plausibility of infection with mortality.

resultsAmong 2579 patients treated for sepsis, 13% had a post-hoc infection likelihood of "none", and an additional 30% of only "possible". These percentages were largely similar for different suspected sites of infection. In crude analyses, the likelihood of infection was associated with increased length of stay and complications. In multivariable analysis, patients with an unlikely infection had a higher mortality rate compared to patients with a definite infection (subdistribution hazard ratio 1.23; 95% confidence interval 1.03-1.49).

conclusionsThis study is the first prospective analysis to show that the clinical diagnosis of sepsis upon ICU admission corresponds poorly with the presence of infection on post-hoc assessment. A higher likelihood of infection does not adversely influence outcome in this population.

trial registrationClinicalTrials.gov NCT01905033. Registered 11 July 2013.

Indexed as

AgedFemaleHumansIntensive Care UnitsLength of StayLikelihood FunctionsMaleMiddle AgedNetherlandsPatient AdmissionProbabilityProspective StudiesRisk FactorsSepsisSurvival AnalysisTreatment Outcome

Identifiers

PMID26346055
PMCPMC4562354

What OpenQuestion holds

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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.