Evidence map›Paper›PMID 19490594›Full record

ArticleCritical care (London, England)2009

NICE-SUGAR: the end of a sweet dream?

Jean-Charles Preiser

Open access · goldAbstract read
In one paragraph

Article in Critical care (London, England), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 38 citations in OpenAlex.

  1. Trial
  2. Through the Looking Glass: The Paradoxical Evolution of Targeted Temperature Management for Comatose Survivors of Cardiac Arrest.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2022
    Review
  3. The benefits of tight glycemic control in critical illness: Sweeter than assumed?Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2014
    Review
  4. Review
  5. Is there a difference in clinical outcomes, inflammation, and hypermetabolism between scald and flame burn?Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2011
    Article
  6. Article
  7. Article
  8. Year in review 2008: Critical Care--metabolism.Critical care (London, England) · 2009
    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

1 author at 1 institution in 1 country.

Jean-Charles PreiserDepartment of Intensive Care, Centre Hospitalier Universitaire du Sart Tilman, 4000 Liege, Belgium. Jean-Charles.Preiser@chu.ulg.ac.be
Centre Hospitalier Universitaire de Liège · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The results of the NICE-SUGAR (Normoglycaemia in Intensive Care Evaluation Survival Using Glucose Algorithm Regulation) trial were released last March. The primary outcome variable, 90-day mortality, was actually increased in patients randomly assigned to intensive insulin therapy, as compared with an intermediate target range for blood glucose. These findings, reflecting data collected in a set of more than 6,000 patients, clearly refute the external validity of tight glucose control. Future research will probably focus on several questions raised by the divergent results reported from investigations in the field of glucose control in the critically ill.

Indexed as

AlgorithmsCritical IllnessHumansHyperglycemiaHypoglycemic AgentsInfusions, IntravenousInsulinRandomized Controlled Trials as TopicSurvival RateHypoglycemic AgentsInsulin

Identifiers

PMID19490594
PMCPMC2717409
OpenAlexW2026244153

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.