Evidence map›Paper›PMID 22538156›Full record

ArticleJournal of diabetes science and technology2012

Assessing inpatient glycemic control: what are the next steps?

Curtiss B Cook, Kay E Wellik, Gail L Kongable, Jianfen Shu

Open access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
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

9 citing papers in PubMed, 25 citations in OpenAlex.

  1. Glucometrics: Where Are We Now?Current diabetes reports · 2023
    Review
  2. Article
  3. Glucometrics and Insulinometrics.Current diabetes reports · 2017
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

4 authors at 3 institutions in 1 country.

Curtiss B CookDivision of Endocrinology, Mayo Clinic, Scottsdale, AZ 85259, USA. cook.curtiss@mayo.edu
Kay E Wellik
Gail L Kongable
Jianfen Shu
Mayo Clinic in Arizona · USUniversity of Virginia · USUniversity of Virginia Health System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the emergence of glucometrics (i.e., systematic analysis of data on blood glucose levels of inpatients) as a subject of high interest, there remains a lack of standardization on how glucose parameters are measured and reported. This dilemma must be resolved before a national benchmarking process can be developed that will allow institutions to track and compare inpatient glucose control performance against established guidelines and that can also be supported by quality care organizations. In this article, we review some of the questions that need to be resolved through consensus and review of the evidence, and discuss some of the limitations in analyzing and reporting inpatient glucose data that must be addressed (or at least accepted as limitations) before hospitals can commit resources to gathering, compiling, and presenting inpatient glucose statistics as a health care quality measure. Standards must include consensus on which measures to report, the unit of analysis, definitions of targets for hyperglycemia treatment, a definition of hypoglycemia, determination of how data should be gathered (from chart review or from laboratory information systems), and which type of sample (blood or point of care) should be used for analysis of glycemic control. Hospitals and/or their representatives should be included in the discussion. For inpatient glucose control to remain a focus of interest, further dialogue and consensus on the topic are needed.

Indexed as

InpatientsBenchmarkingBiomarkersBlood Chemical AnalysisBlood GlucoseClinical Laboratory Information SystemsConsensusEquipment DesignGlycated HemoglobinHumansHyperglycemiaObserver VariationPoint-of-Care SystemsPractice Guidelines as TopicPredictive Value of TestsReproducibility of ResultsBiomarkersBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID22538156
PMCPMC3380788
OpenAlexW2129677397

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.