Evidence map›Paper›PMID 32519003›Full record

Observational studyIntensive care medicine2020

Antimicrobial de-escalation in the critically ill patient and assessment of clinical cure: the DIANA study.

Liesbet De Bus, Pieter Depuydt, Johan Steen, Sofie Dhaese, Ken De Smet, Alexis Tabah, Murat Akova, Menino Osbert Cotta, Gennaro De Pascale, George Dimopoulos and 15 more

Registry-linked trialOpen access · hybridAbstract readObservational Study
In one paragraph

Observational study in Intensive care medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07167173 (Predictive Model for Multidrug Resistance in Patients Admitted to the Emergency Department With Sepsis), which is not on this map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
7.1field-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.

NCT07167173 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Predictive Model for Multidrug Resistance in Patients Admitted to the Emergency Department With Sepsis

TypeobservationalSponsorHospital Italiano de Buenos AiresRan2025 to 2025Enrolled10,000ConditionsSepsis, Septic Shock
3 · Its place in the literature

Who cites it

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 112 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. The PRECISE framework: a structured approach to antibiogram interpretation for antimicrobial optimization at the bedside.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
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  11. Optimal antibiotic use in the intensive care unit.Critical care (London, England) · 2025
    Review
  12. Article
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  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Epidemiology and Outcomes of Antibiotic De-escalation in Patients With Suspected Sepsis in US Hospitals.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    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

25 authors at 17 institutions in 14 countries.

Liesbet De BusDepartment of Critical Care Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium. liesbet.debus@ugent.be.ORCID https://orcid.org/0000-0003-1456-5857
Pieter DepuydtDepartment of Critical Care Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.ORCID https://orcid.org/0000-0001-5164-5376
Johan SteenDepartment of Critical Care Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.ORCID https://orcid.org/0000-0002-5968-6401
Sofie DhaeseDepartment of Critical Care Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.ORCID https://orcid.org/0000-0002-2252-7167
Ken De SmetDepartment of Critical Care Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.
Alexis TabahIntensive Care Unit, Redcliffe and Caboolture Hospitals, Brisbane, QLD, Australia.ORCID https://orcid.org/0000-0003-3513-2778
Murat AkovaDepartmant of Infectious Diseases and Clinical Microbiology, Hacettepe University School of Medicine, Ankara, Turkey.ORCID https://orcid.org/0000-0002-6904-9473
Menino Osbert CottaCentre for Translational Anti-Infective Pharmacodynamics, School of Pharmacy, The University of Queensland, Brisbane, Australia.ORCID https://orcid.org/0000-0002-2058-2314
Gennaro De PascaleDipartimento Di Scienza Dell'Emergenza, Anestesiologiche e della Rianimazione - UOC Di Anestesia, Rianimazione, Terapia Intensiva e Tossicologia Clinica - Istituto di Anestesia e Rianimazione, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.ORCID https://orcid.org/0000-0002-8255-0676
George DimopoulosDepartment of Critical Care, University Hospital Attikon, Athens, Greece.ORCID https://orcid.org/0000-0002-3784-3103
Shigeki FujitaniEmergency Medicine and Critical Care Medicine, St. Marianna University Hospital, Kawasaki-City, Kanagawa, Japan.ORCID https://orcid.org/0000-0001-6327-682X
Jose Garnacho-MonteroIntensive Care Clinical Unit, Hospital Universitario Virgen Macarena, Seville, Spain.ORCID https://orcid.org/0000-0003-2542-7601
Marc LeoneService d'Anesthésie et de Réanimation, Hôpital NordAssistance Publique Hôpitaux de Marseille, Aix-Marseille Université, Marseille, France.ORCID https://orcid.org/0000-0002-3097-758X
Jeffrey LipmanUniversity of Queensland Centre of Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.ORCID https://orcid.org/0000-0002-5965-9876
Marlies OstermannDepartment of Critical Care, King's College London, Guy's and St Thomas' Hospital, London, UK.ORCID https://orcid.org/0000-0001-9500-9080
José-Artur PaivaEmergency and Intensive Care Department, Centro Hospitalar Universitário São João EPE, Porto, Portugal.
Jeroen SchoutenDepartment of Intensive Care Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.ORCID https://orcid.org/0000-0001-9118-4420
Fredrik SjövallDepartment of Intensive Care and Perioperative Medicine, Skane University Hospital, Malmö, Sweden.ORCID https://orcid.org/0000-0001-5612-0325
Jean-François TimsitSorbonne Paris Cité, IAME, UMR 1137, Université de Paris, Paris, France.ORCID https://orcid.org/0000-0002-6063-7383
Jason A RobertsCentre for Translational Anti-Infective Pharmacodynamics, School of Pharmacy, The University of Queensland, Brisbane, Australia.ORCID https://orcid.org/0000-0001-6218-435X
Jean-Ralph ZaharINSERM, IAME UMR 1137, University of Paris, Paris, France.ORCID https://orcid.org/0000-0002-4228-3868
Farid ZandShiraz Anesthesiology and Critical Care Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID https://orcid.org/0000-0003-3489-3372
Kapil ZirpeGrant Medical Foundation, Ruby Hall Clinic, Pune, Maharashtra, India.ORCID https://orcid.org/0000-0002-8140-727X
Jan J De WaeleDepartment of Critical Care Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.ORCID https://orcid.org/0000-0003-1017-9748
DIANA study group
Ghent University Hospital · BEThe University of Queensland · AUSt. Marianna University School of Medicine · JPUniversité Claude Bernard Lyon 1 · FRAix-Marseille Université · FRHacettepe University · TRHospital Universitario Virgen Macarena · ESInserm · FRLund University · SENational and Kapodistrian University of Athens · GRRadboud University Nijmegen · NLRuby Hall Clinic · INShiraz University of Medical Sciences · IRSt Thomas' Hospital · GBUniversidade do Porto · PTUniversità Cattolica del Sacro Cuore · ITUniversité Paris-Seine · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe DIANA study aimed to evaluate how often antimicrobial de-escalation (ADE) of empirical treatment is performed in the intensive care unit (ICU) and to estimate the effect of ADE on clinical cure on day 7 following treatment initiation.

methodsAdult ICU patients receiving empirical antimicrobial therapy for bacterial infection were studied in a prospective observational study from October 2016 until May 2018. ADE was defined as (1) discontinuation of an antimicrobial in case of empirical combination therapy or (2) replacement of an antimicrobial with the intention to narrow the antimicrobial spectrum, within the first 3 days of therapy. Inverse probability (IP) weighting was used to account for time-varying confounding when estimating the effect of ADE on clinical cure.

resultsOverall, 1495 patients from 152 ICUs in 28 countries were studied. Combination therapy was prescribed in 50%, and carbapenems were prescribed in 26% of patients. Empirical therapy underwent ADE, no change and change other than ADE within the first 3 days in 16%, 63% and 22%, respectively. Unadjusted mortality at day 28 was 15.8% in the ADE cohort and 19.4% in patients with no change [p = 0.27; RR 0.83 (95% CI 0.60-1.14)]. The IP-weighted relative risk estimate for clinical cure comparing ADE with no-ADE patients (no change or change other than ADE) was 1.37 (95% CI 1.14-1.64).

conclusionADE was infrequently applied in critically ill-infected patients. The observational effect estimate on clinical cure suggested no deleterious impact of ADE compared to no-ADE. However, residual confounding is likely.

Indexed as

Anti-Infective AgentsCritical IllnessAdultAnti-Bacterial AgentsCarbapenemsHumansIntensive Care UnitsAnti-Bacterial AgentsAnti-Infective AgentsCarbapenemsAntimicrobial de-escalationBacterial infectionClinical cureEmpirical therapyIntensive care unit

Identifiers

PMID32519003
PMCPMC7334278
OpenAlexW3033886595

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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.