Evidence map›Paper›PMID 22074724›Full record

Trial reportDiabetes care2012

Piloting a novel algorithm for glucose control in the coronary care unit: the RECREATE (REsearching Coronary REduction by Appropriately Targeting Euglycemia) trial.

Kara A Nerenberg, Abhinav Goyal, Denis Xavier, Alben Sigamani, Jennifer Ng, Shamir R Mehta, Rafael Díaz, Mikhail Kosiborod, Salim Yusuf, Hertzel C Gerstein and 1 more

Open access · hybridAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Diabetes care, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 17 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. 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

11 authors at 4 institutions in 3 countries.

Kara A NerenbergPopulation Health Research Institute McMaster University, Hamilton, Ontario, Canada. recreate@phri.ca
Abhinav Goyal
Denis Xavier
Alben Sigamani
Jennifer Ng
Shamir R Mehta
Rafael Díaz
Mikhail Kosiborod
Salim Yusuf
Hertzel C Gerstein
RECREATE Investigators
Population Health Research Institute · CAEmory University · USEstudios Clínicos Latinoamérica · ARUniversity of Missouri–Kansas City · US

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

objectiveElevated glucose levels are common after an acute myocardial infarction (AMI) and increase the risk of death. Prior trials of glucose control after AMI have been inconsistent in their ability to lower glucose levels and have reported mixed effects on mortality. We developed a paper-based glucose-lowering algorithm and assessed its feasibility and safety in the setting of AMI. RESEARCH DESIGN AND

methodsA total of 287 participants with an acute ST segment elevation myocardial infarction (STEMI) and a capillary glucose level ≥8.0 mmol/L were randomly allocated to glucose management with intravenous glulisine insulin using this algorithm in the coronary care unit (CCU), followed by once-daily subcutaneous insulin glargine for 30 days versus standard glycemic approaches. The primary outcome was a difference in mean glucose levels at 24 h. Participants were followed for clinical outcomes through 90 days.

resultsAt 24 h, the mean glucose level was 1.41 mmol/L (95% CI 0.69-2.13) lower in the insulin (6.53 vs. 7.94 mmol/L). Differences in glucose levels were maintained at 72 h and 30 days. A total of 22.7% of the insulin group versus 4.4% of the standard group had biochemical hypoglycemia (with neither signs nor symptoms) in the CCU because of lower glycemic goals. However, there were no differences in symptomatic hypoglycemia or clinical outcomes between the groups.

conclusionsA paper-based insulin algorithm targeting glucose levels of 5.0-6.5 mmol/L (90-117 mg/dL) can be feasibly implemented in the CCU. A cardiovascular outcomes trial using this approach can determine whether targeted glucose lowering improves patient outcomes.

Indexed as

AgedAlgorithmsBlood GlucoseCoronary Care UnitsFemaleHumansHypoglycemic AgentsInsulinInsulin GlargineInsulin, Long-ActingMaleMiddle AgedMyocardial InfarctionPilot ProjectsBlood GlucoseHypoglycemic AgentsInsulinInsulin Glargineinsulin glulisineInsulin, Long-Acting

Identifiers

PMID22074724
PMCPMC3241335
OpenAlexW2129403838

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.