Cited by 29Clinical Laboratory Practices and Quality ControlDiabetes Management and ResearchDiabetes Management and Education

Point-of-care HbA1c in clinical practice: caveats and considerations for optimal use

Open access
Sacks, David B., Kirkman, M. Sue, Little, Randie R.·2024·Diabetes Care

Abstract

Hemoglobin A1c (A1C) is widely used for the diagnosis and management of diabetes. Accurate measurement of A1C is necessary for optimal clinical value. Assay standardization has markedly improved the accuracy and consistency of A1C testing. Devices to measure A1C at point of care (POC) are commercially available, allowing rapid results when the patient is seen. In this review, we describe how standardization of A1C testing was achieved, leading to high-quality results in clinical laboratories. We address the use of POC A1C testing in clinical situations and summarize the advantages and disadvantages of POC A1C testing. We emphasize the importance of considering the limitations of these devices and following correct testing procedures to ensure that accurate A1C results are obtained for optimal care of patients.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2337/dci23-0040

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Point-of-care A1C testing can offer timely opportunities for treatment adjustments during appointments with health care professionals, although point-of-care tests may be less accurate than laboratory A1C assays.

    “Point-of-care A1C testing can offer timely opportunities for treatment adjustments during appointments with health care professionals, although point-of-care tests may be less accurate than laboratory A1C assays (5).”
  • A previous meta-analysis noted a non-significant trend toward less negative bias over time for the DCA device (coefficient 0.01% HbA1c per year; P=0.081), with no significant temporal effect for other devices.

    “This observation aligns with a previous meta-analysis which noted a non-significant trend toward less negative bias over time for the DCA device (coefficient 0.01% HbA1c per year; P=0.081), suggesting possible calibration improvements, although no significant temporal effect was observed for other devices (10,36,37).”

    From Comparison of point‑of‑care HbA1c devices with laboratory HPLC methods: A systematic review and meta‑analysis (2026) · cites this paper as [36]

    The section ‘POC A1C Testing Is Less Accurate Than Laboratory Testing’ summarizes a meta-analysis of device bias, but does not report a DCA-specific trend over time, a coefficient of 0.01% per year, P=0.081, or temporal results for other devices. Searches for those terms found no passage addressing the claimed temporal analysis. (LLM, conf=0.70)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 48 · Cited by 29

Authors
Sacks, D. B., Kirkman, M. S., & Little, R. R.
Affiliations
  • National Institutes of Health (US)
  • University of North Carolina at Chapel Hill (US)
  • University of Missouri (US)
Corresponding author
Sacks, David B.
Venue
Diabetes Care
Published
2024-03-29
Volume
47
Issue
7
Pages
1104-1110
ISSN
  • 0149-5992 (ISSN-L)
  • 1935-5548
OpenAlex
W4393305335
Cited by
29
References
48
Citations by year
2026: 14 · 2025: 12 · 2024: 3
FWCI
1.65
Type
journal article
Language
en
Open access
Locations
  • Diabetes Care (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • NIH Clinical Center (Intramural research grant)
  • National Institutes of Health (5U01DK133106-02)
Topics
  • Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
Keywords
HbA1c, point-of-care testing, diabetes management, assay standardization, clinical laboratory testing, diabetes diagnosis
MeSH terms
Diabetes Mellitus, Glycated Hemoglobin, Humans, Point-of-Care Systems

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review