Evidence map›Paper›PMID 31983225›Full record

ReviewJournal of diabetes science and technology2020

Comparison of Accuracy Guidelines for Hospital Glucose Meters.

Cynthia Foss Bowman, James H Nichols

Abstract readReview
In one paragraph

Review in Journal of diabetes science and technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Cynthia Foss BowmanVA New Jersey Health Care Service, Pathology and Laboratory Medicine Service, East Orange, NJ, USA.ORCID 0000-0002-1440-1417
James H NicholsVanderbilt University School of Medicine, Department of Pathology, Microbiology, Immunology, Nashville, TN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When used in hospital settings, glucose meter performance issues involve analytic comparability to lab-based testing, patient and sample variables, and clinical affects such as insulin treatment protocol outcomes and morbidity or outcome risk factors. Different tools are available to assess these issues, including accuracy and precision statistics along with clinical risk measures such as error grids or simulation testing. Regulatory, guidance, and professional bodies have advocated a number of varying recommendations for glucose meter performance in different situations and under different patient conditions. These are summarized and compared, but reconciling these guidelines can be confusing or difficult for providers. Blood glucose meters are useful in the management of patients in acute or assisted care facilities, but users must appreciate the variables that affect measurements and provide for oversight that can manage risk factors and maintain meter performance expectations.

Indexed as

BiomarkersBlood Chemical AnalysisBlood GlucoseEquipment DesignGuideline AdherenceHospitalsHumansPoint-of-Care SystemsPoint-of-Care TestingPractice Guidelines as TopicPredictive Value of TestsReproducibility of ResultsBiomarkersBlood Glucoseaccuracyglucose metersguidelineshospitalsPOCT

Identifiers

PMID31983225
PMCPMC7576947

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.