Evidence map›Paper›PMID 36387820›Full record

ReviewWorld journal of clinical cases2022

Clinical challenges of glycemic control in the intensive care unit: A narrative review.

Roshni Sreedharan, Adriana Martini, Gyan Das, Nida Aftab, Sandeep Khanna, Kurt Ruetzler

Open access · diamondAbstract readReview
In one paragraph

Review in World journal of clinical cases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Observational
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 at 1 institution in 1 country.

Roshni SreedharanAnesthesiology Institute, Cleveland Clinic, Cleveland, OH 44195, United States.
Adriana MartiniAnesthesiology Institute, Cleveland Clinic, Cleveland, OH 44195, United States.
Gyan DasAnesthesiology Institute, Cleveland Clinic, Cleveland, OH 44195, United States.
Nida AftabAnesthesiology Institute, Cleveland Clinic, Cleveland, OH 44195, United States.
Sandeep KhannaAnesthesiology Institute, Cleveland Clinic, Cleveland, OH 44195, United States.
Kurt RuetzlerAnesthesiology Institute, Cleveland Clinic, Cleveland, OH 44195, United States. ruetzlk@ccf.org.
Cleveland Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glucose control in patient admitted to the intensive care unit has been a topic of much debate over the past 20 years. The harmful effects of uncontrolled hyperglycemia and hypoglycemia in critically ill patients is well established. Although a large clinical trial in 2001 demonstrated significant mortality and morbidity benefits with tight glucose control in this patient population, the results could not be replicated by other investigators. The "Normoglycemia in Intensive Care Evaluation-Survival Using Glucose Algorithm Regulation" trial in 2009 established that tight glucose control was not only of no benefit, but in fact harmful due to the significant risk of hypoglycemia. The current guidelines suggest a moderate approach with the initiation of intravenous insulin therapy in critically ill patients when the blood glucose level is above 180 mg/dL. The most important factor that underpins glycemic management in intensive care unit patients is the consequent prevention of hypoglycemia. Robust glucose monitoring strategies and insulin protocols need to be implemented in order to achieve this goal.

Indexed as

AnesthesiologyDiabetes managementIntensive care unit

Identifiers

PMID36387820
PMCPMC9649548
OpenAlexW4307560231

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.