Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 335

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

The Hyperglycemia: Intensive Insulin Infusion In Infarction (HI-5) Study

Cheung, N. Wah, Wong, Vincent W., McLean, Mark·2006·Diabetes Care

Abstract

OBJECTIVE—There is conflicting evidence regarding the benefit of intravenous insulin therapy on mortality following acute myocardial infarction (AMI). The goal of the current study was to determine whether improved glycemic control, achieved through an insulin/dextrose infusion with a variable rate of insulin, reduces mortality among hyperglycemic patients with AMI. RESEARCH DESIGN AND METHODS—Subjects suffering AMI with either known diabetes or without diabetes but blood glucose level (BGL) ≥7.8 mmol/l were randomized to receive insulin/dextrose infusion therapy for at least 24 h to maintain a BGL <10 mmol/l or conventional therapy. RESULTS—A total of 240 subjects were recruited. Insulin/dextrose infusion did not reduce mortality at the inpatient stage (4.8 vs. conventional 3.5%, P = 0.75), 3 months (7.1 vs 4.4%, P = 0.42), or 6 months (7.9 vs. 6.1%, P = 0.62). There was, however, a lower incidence of cardiac failure (12.7 vs. 22.8%, P = 0.04) and reinfarction within 3 months (2.4 vs. 6.1%, P = 0.05). When analyzed by mean BGL achieved during the first 24 h, mortality was lower among subjects with a mean BGL ≤8 mmol/l, compared with subjects with a mean BGL >8 mmol/l (2 vs. 11% at 6 months, P = 0.02). CONCLUSIONS—We did not find a reduction in mortality among patients who received insulin/dextrose infusion therapy. However, it remains possible that tight glycemic control with insulin therapy following AMI improves outcomes.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2337/diacare.29.04.06.dc05-1894

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

Metadata

Authors
Cheung, N. W., Wong, V. W., & McLean, M.
Venue
Diabetes Care
Published
2006-04-01
Volume
29
Issue
4
Pages
765-770
ISSN
  • 0149-5992 (ISSN-L)
  • 1935-5548
OpenAlex
W2119745885
Cited by
335
References
1
FWCI
19.97
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.