SynthesisIntensive care medicine2009
Tight glycemic control and computerized decision-support systems: a systematic review.
Synthesis in Intensive care medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 5 of them syntheses that pooled 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.
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.
Who cites it
27 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2022Guideline
- Interventions to improve safe and effective medicines use by consumers: an overview of systematic reviews.The Cochrane database of systematic reviews · 2014Pooled it
- Computerized advice on drug dosage to improve prescribing practice.The Cochrane database of systematic reviews · 2013Pooled it
- Glucose variability measures and their effect on mortality: a systematic review.Intensive care medicine · 2011Pooled it
- The impact of eHealth on the quality and safety of health care: a systematic overview.PLoS medicine · 2011Pooled it
- Trial
- Tight computerized versus conventional glucose control in the ICU: a randomized controlled trial.Intensive care medicine · 2014Trial
- Implementing glucose control in intensive care: a multicenter trial using statistical process control.Intensive care medicine · 2010Trial
- Innovating medication reviews through a technology-enabled process.Research in social & administrative pharmacy : RSAP · 2022Article
- Accuracy of Blood Glucose Measurement and Blood Glucose Targets.Journal of diabetes science and technology · 2020Review
- Diabetes Technology in the Inpatient Setting for Management of Hyperglycemia.Endocrinology and metabolism clinics of North America · 2020Review
- Risk of Hypoglycemia During Insulin Infusion Directed by Paper Protocol Versus Electronic Glycemic Management System in Critically Ill Patients at a Large Academic Medical Center.Journal of diabetes science and technology · 2018Article
- Observational
- Space GlucoseControl system for blood glucose control in intensive care patients--a European multicentre observational study.BMC anesthesiology · 2016Observational
- Using a Clinical Surveillance System to Detect Drug-Associated Hypoglycemia in Nursing Home Residents.Journal of the American Geriatrics Society · 2015Article
- Evaluation of medium-term consequences of implementing commercial computerized physician order entry and clinical decision support prescribing systems in two 'early adopter' hospitals.Journal of the American Medical Informatics Association : JAMIA · 2014Article
- Glucose control in intensive care: usability, efficacy and safety of Space GlucoseControl in two medical European intensive care units.BMC endocrine disorders · 2014Article
- The future is now: software-guided intensive insulin therapy in the critically ill.Journal of diabetes science and technology · 2013Review
- Computerization of the Yale insulin infusion protocol and potential insights into causes of hypoglycemia with intravenous insulin.Diabetes technology & therapeutics · 2013Article
- Barriers and facilitators to the use of computer-based intensive insulin therapy.International journal of medical informatics · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo identify and summarize characteristics of computerized decision-support systems (CDSS) for tight glycemic control (TGC) and to review their effects on the quality of the TGC process in critically ill patients.
methodsWe searched Medline (1950-2008) and included studies on critically ill adult patients that reported original data from a clinical trial or observational study with a main objective of evaluating a given TGC protocol with a CDSS.
resultsSeventeen articles met the inclusion criteria. Eleven out of seventeen studies evaluated the effect of a new TGC protocol that was introduced simultaneously with a CDSS implementation. Most of the reported CDSSs were stand-alone, were not integrated in any other clinical information systems and used the "passive" mode requiring the clinician to ask for advice. Different implementation sites, target users, and time of advice were used, depending on local circumstances. All controlled studies reported on at least one quality indicator of the blood glucose regulatory process that was improved by introducing the CDSS. Nine out of ten controlled studies either did not report on the number of hypoglycemia events (one study), or reported on no change (six studies) or even a reduction in this number (two studies).
conclusionsWhile most studies evaluating the effect of CDSS on the quality of the TGC process found improvement when evaluated on the basis of the quality indicators used, it is impossible to define the exact success factors, because of simultaneous implementation of the CDSS with a new or modified TGC protocol and the hybrid solutions used to integrate the CDSS into the clinical workflow.
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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.