ReviewJournal of diabetes science and technology2011
Blood glucose testing in the hospital: error sources and risk management.
Review in Journal of diabetes science and technology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis 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
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- LabWAS: Novel findings and study design recommendations from a meta-analysis of clinical labs in two independent biobanks.PLoS genetics · 2020Pooled it
- Risk management in POCT blood glucose monitoring: FMEA approach aligned with ISO 15189:2022.PloS one · 2025Article
- Potential use of Six Sigma metrics in the quality control review of hospital glucose meters.Heliyon · 2024Article
- Connectivity Strategies in Managing a POCT Service.EJIFCC · 2021Review
- Six Sigma performance of quality indicators in total testing process of point-of-care glucose measurement: A two-year review.Practical laboratory medicine · 2021Article
- Effective interventions to improve the quality of critically high point-of-care glucose meter results.Practical laboratory medicine · 2020Article
- Development and Validation of a Rapid (13)C6-Glucose Isotope Dilution UPLC-MRM Mass Spectrometry Method for Use in Determining System Accuracy and Performance of Blood Glucose Monitoring Devices.Journal of diabetes science and technology · 2015Article
- Challenges of inpatient blood glucose monitoring: standards, methods, and devices to measure blood glucose.Current diabetes reports · 2015Review
- Results of a survey among GP practices on how they manage patient safety aspects related to point-of-care testing in every day practice.BMC family practice · 2015Article
- Point-of-care blood glucose testing for diabetes care in hospitalized patients: an evidence-based review.Journal of diabetes science and technology · 2014Review
- Use of portable blood physiology point-of-care devices for basic and applied research on vertebrates: a review.Conservation physiology · 2014Article
- Analysis: New point-of-care blood glucose monitoring system for the hospital demonstrates satisfactory analytical accuracy using blood from critically ill patients--an important step toward improved blood glucose control in the hospital.Journal of diabetes science and technology · 2013Article
- Accuracy of point-of-care capillary blood sugar measurements in critically ill patients: An observational study.International journal of critical illness and injury scienceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glucose testing in the hospital with point-of-care devices presents multiple opportunities for error. Any device can fail under the right conditions. For glucose monitoring in the hospital, with thousands of operators, hundreds of devices, and dozens of locations involved, there is ample opportunity for errors that can impact the quality of test results. Errors can occur in any phase of the testing process: preanalytic, analytic, or postanalytic. Common sources of meter error include patient or methodology interferences, operator mistakes, environmental exposure, and device malfunction. Early models of glucose meters had few internal checks or capability to warn the operator of meter problems. The latest generation of glucose monitors has a number of internal checks and controls engineered into the testing process to prevent serious errors or warn the operator by suppressing test results. Some of these control processes are built into the software and data management system of the meters, others require the hospital to do something, such as regularly clean the meter or analyze control samples of known glucose concentration, to verify meter performance. Hospitals need to be aware of the potential for errors by understanding weaknesses in the testing process that could lead to erroneous results and take steps to prevent errors from occurring or to minimize the harm to patients when errors do occur. The reliability of a glucose result will depend on the balance of internal control features available from manufacturers in conjunction with the liquid control analysis and other control processes (operator training, device validation, and maintenance) utilized by the hospitals.
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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.