Evidence map›Paper›PMID 20144385›Full record

ReviewJournal of diabetes science and technology2009

Clinical need for continuous glucose monitoring in the hospital.

Jeffrey I Joseph, Brian Hipszer, Boris Mraovic, Inna Chervoneva, Mark Joseph, Zvi Grunwald

Abstract readReview
In one paragraph

Review in Journal of diabetes science and technology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–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

21 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Review
  5. Article
  6. A Computer-Based Glucose Management System Reduces the Incidence of Forgotten Glucose Measurements: A Retrospective Observational Study.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2018
    Article
  7. Inpatient Continuous Glucose Monitoring and Glycemic Outcomes.Journal of diabetes science and technology · 2017
    Review
  8. Article
  9. Review
  10. Article
  11. Observational
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Assessing inpatient glycemic control: what are the next steps?Journal of diabetes science and technology · 2012
    Article
  19. Review
  20. 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

6 authors.

Jeffrey I JosephThe Artificial Pancreas Center, Department of Anesthesiology, Jefferson Medical College of Thomas Jefferson University, Philadelphia, Pennsylvania 19107, USA. jeffrey.joseph@jefferson.edu
Brian Hipszer
Boris Mraovic
Inna Chervoneva
Mark Joseph
Zvi Grunwald

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Automation and standardization of the glucose measurement process have the potential to greatly improve glycemic control, clinical outcome, and safety while reducing cost. The resources required to monitor glycemia in hospitalized patients have thus far limited the implementation of intensive glucose management to patients in critical care units. Numerous available and up-and-coming technologies are targeted for the hospital patient population. Advantages and limitations of these devices are discussed herewith in.

Indexed as

Blood Glucose Self-MonitoringHospitalizationInpatientsAutomationBlood GlucoseDiagnostic EquipmentEquipment DesignGlucoseHumansHyperglycemiaHypoglycemiaHypoglycemic AgentsInsulinInsulin Infusion SystemsPredictive Value of TestsTime FactorsBlood GlucoseGlucoseHypoglycemic AgentsInsulin

Identifiers

PMID20144385
PMCPMC2787031

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.