Related Experiment Video
Updated: Jan 21, 2026

Reliable Isolation of Central Nervous System Microvessels Across Five Vertebrate Groups
Published on: January 12, 2020
A systematic review of central-line-associated bloodstream infection (CLABSI) diagnostic reliability and error
Emily N Larsen1,2, Nicole Gavin1,2,3,4,5, Nicole Marsh1,2,5
1Alliance for Vascular Access Teaching and Research Group, Menzies Health Institute, Brisbane, Queensland, Australia.
Objective:
To establish the reliability of the application of National Health and Safety Network (NHSN) central-line-associated bloodstream infection (CLABSI) criteria within established reporting systems internationally.
Design:
Diagnostic-test accuracy systematic review.
Methods:
We conducted a search of Medline, SCOPUS, the Cochrane Library, CINAHL (EbscoHost), and PubMed (NCBI). Cohort studies were eligible for inclusion if they compared publicly reported CLABSI rates and were conducted by independent and expertly trained reviewers using NHSN/Centers for Disease Control (or equivalent) criteria. Two independent reviewers screened, extracted data, and assessed risk of bias using the QUADAS 2 tool. Sensitivity, specificity, negative and positive predictive values were analyzed.
Results:
A systematic search identified 1,259 publications; 9 studies were eligible for inclusion (n = 7,160 central lines). Publicly reported CLABSI rates were more likely to be underestimated (7 studies) than overestimated (2 studies). Specificity ranged from 0.70 (95% confidence interval [CI], 0.58-0.81) to 0.99 (95% CI, 0.99-1.00) and sensitivity ranged from 0.42 (95% CI, 0.15-0.72) to 0.88 (95% CI, 0.77-0.95). Four studies, which included a consecutive series of patients (whole cohort), reported CLABSI incidence between 9.8% and 20.9%, and absolute CLABSI rates were underestimated by 3.3%-4.4%. The risk of bias was low to moderate in most included studies.
Conclusions:
Our findings suggest consistent underestimation of true CLABSI incidence within publicly reported rates, weakening the validity and reliability of surveillance measures. Auditing, education, and adequate resource allocation is necessary to ensure that surveillance data are accurate and suitable for benchmarking and quality improvement measures over time.
Registration:
Prospectively registered with International prospective register of systematic reviews (PROSPERO ID CRD42015021989; June 7, 2015). https://www.crd.york.ac.uk/PROSPERO/display_record.php?ID%3dCRD42015021989.
Related Concept Videos
Systematic Error: Methodological and Sampling Errors
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Random and Systematic Errors
Propagation of Uncertainty from Systematic Error
Reliability and Validity
Review and Preview
Percentiles are a type of fractile that partition data into...
Review and Preview

