Trial reportIntensive care medicine2014
Tight computerized versus conventional glucose control in the ICU: a randomized controlled trial.
Trial report in Intensive care medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02634411 (Impact of the Duration of Antibiotics on Clinical Events in Patients With Pseudomonas Aeruginosa Ventilator-associated Pneumonia), which is not on this map. Cited by 61 papers, 9 of them syntheses that pooled it.
What it found
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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.
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.
Impact of the Duration of Antibiotics on Clinical Events in Patients With Pseudomonas Aeruginosa Ventilator-associated Pneumonia : a Randomized Controlled Study (iDIAPASON)
Who cites it
61 citing papers in PubMed, 9 syntheses or guidelines pooled it, 150 citations in OpenAlex.
- Heterogeneity of surrogate outcome measures used in critical care studies: A systematic review.Clinical trials (London, England) · 2023Pooled it
- [S3 Guideline Sepsis-prevention, diagnosis, therapy, and aftercare : Long version].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2020Guideline
- Is intensive glucose control bad for critically ill patients? A systematic review and meta-analysis.International journal of biological sciences · 2020Pooled it
- Pooled it
- Pooled it
- Effects of computerized decision support system implementations on patient outcomes in inpatient care: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2018Pooled it
- Glycaemic control targets after traumatic brain injury: a systematic review and meta-analysis.Critical care (London, England) · 2018Pooled it
- Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock: 2016.Intensive care medicine · 2017Guideline
- Glycemic control, mortality, and hypoglycemia in critically ill patients: a systematic review and network meta-analysis of randomized controlled trials.Intensive care medicine · 2017Pooled it
- Individualised versus conventional glucose control in critically-ill patients: the CONTROLING study-a randomized clinical trial.Intensive care medicine · 2021Trial
- Software-guided versus nurse-directed blood glucose control in critically ill patients: the LOGIC-2 multicenter randomized controlled clinical trial.Critical care (London, England) · 2017Trial
- Glycemic Control Reduces Infections in Post-Liver Transplant Patients: Results of a Prospective, Randomized Study.The Journal of clinical endocrinology and metabolism · 2017Trial
- Intensive versus conventional glucose control in critically ill patients with traumatic brain injury: long-term follow-up of a subgroup of patients from the NICE-SUGAR study.Intensive care medicine · 2015Trial
- Severe and multiple hypoglycemic episodes are associated with increased risk of death in ICU patients.Critical care (London, England) · 2015Trial
- Effects of tight computerized glucose control on neurological outcome in severely brain injured patients: a multicenter sub-group analysis of the randomized-controlled open-label CGAO-REA study.Critical care (London, England) · 2014Trial
- Individualising blood glucose control in ICU patients: evidence and practical implementations.Critical care (London, England) · 2026Review
- What is the ideal glucose range for a patient with sepsis in the ICU? A retrospective analysis of MIMIC-IV.BMJ open · 2026Article
- Sepsis as CNS-governed metabolic triage.Frontiers in immunology · 2026Review
- Advances in the management of hyperglycaemia and diabetes mellitus during hospitalization.Nature reviews. Endocrinology · 2025Review
- SHRs, biomarkers for dysregulated stress response, predict prognosis in sepsis patients: a retrospective cohort study from MIMIC-IV database.BMC infectious diseases · 2025Article
1 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
14 authors at 13 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe blood glucose target range and optimal method to reach this range remain a matter of debate in the intensive care unit (ICU). A computer decision support system (CDSS) might improve the outcome of ICU patients through facilitation of a tighter blood glucose control.
methodsWe conducted a multi-center randomized trial in 34 French ICU. Adult patients expected to require treatment in the ICU for at least 3 days were randomly assigned without blinding to undergo tight computerized glucose control with the CDSS (TGC) or conventional glucose control (CGC), with blood glucose targets of 4.4-6.1 and <10.0 mmol/L, respectively. The primary outcome was all-cause death within 90 days after ICU admission.
resultsOf the 2,684 patients who underwent randomization to the TGC and CGC treatment groups, primary outcome was available for 1,335 and 1,311 patients, respectively. The baseline characteristics of these treatment groups were similar in terms of age (61 ± 16 years), SAPS II (51 ± 19), percentage of surgical admissions (40.0%) and proportion of diabetic patients (20.3%). A total of 431 (32.3%) patients in the TGC group and 447 (34.1%) in the CGC group had died by day 90 (odds ratio for death in the TGC 0.92; 95% confidence interval 0.78-1.78; p = 0.32). Severe hypoglycemia (<2.2 mmol/L) occurred in 174 of 1,317 patients (13.2%) in the TGC group and 79 of 1,284 patients (6.2%) in the CGC group (p < 0.001).
conclusionsTight computerized glucose control with the CDSS did not significantly change 90-day mortality and was associated with more frequent severe hypoglycemia episodes in comparison with conventional glucose control.
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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.