Evidence map›Paper›PMID 20920450›Full record

ArticleJournal of diabetes science and technology2010

Glucose information for tight glycemic control: different methods with different challenges.

Christian Weber, Kurt Neeser

Open access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Review
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 at 1 institution in 1 country.

Christian WeberInstitute for Medical Informatics and Biostatistics, Basel, Switzerland.
Kurt Neeser
Institute for Medical Informatics and Biostatistics · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rigorous glucose control is essential for prevention of diabetes-related complications in diabetes patients. Even without diabetes, tight glucose control is beneficial in hospitalized, critically ill patients. Actually, three different glucose measurement methods are used: (1) hand held devices, (2) blood-gas analyzers, and (3) laboratory analyzers in core laboratories. Each method is subject to specific challenges and limitations that can affect the overall system performance. In this article, we aim to demonstrate that even glucose measurement results from core laboratories (professional laboratory systems) do not necessarily reflect the absolute "true" glucose level of a patient.

Indexed as

LaboratoriesBlood Gas Monitoring, TranscutaneousBlood GlucoseBlood Glucose Self-MonitoringCritical IllnessDiabetes MellitusGlucose 1-DehydrogenaseGlucose OxidaseHexokinaseHumansReproducibility of ResultsBlood GlucoseGlucose 1-DehydrogenaseGlucose OxidaseHexokinase

Identifiers

PMID20920450
PMCPMC2956809
OpenAlexW2161258535

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.