ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2009
Uncovering the predictive value of minimum blood glucose through statistical analysis of a large clinical dataset.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
- Big data and clinicians: a review on the state of the science.JMIR medical informatics · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
The clinical utility and risk of strict glycemic control during critical care have been under intense debate. This study aims to elucidate the relationship between glycemic status and patient outcome in an integrated database collected at a tertiary teaching hospital. Clinical data of 16,135 critically ill adult patients with blood glucose measurements were extracted. The lowest blood glucose levels were analyzed against patient outcome. Major findings are 1) mortality of non-diabetic patients who experience persistent hyperglycemia during intensive care rises with increasing hyperglycemia, 2) minimum blood glucose concentration within the 80-110 mg/dL range corresponds to the highest percentage of survival among patients receiving insulin, and 3) inhospital mortality among patients receiving insulin increases as blood glucose concentration falls into the hypoglycemic range. These results suggest that glycemic status and patient outcome are closely associated and the lowest blood glucose concentration that each patient experiences predicts the patient's eventual outcome.
Indexed as
Identifiers
20351948PMC2815380W2143833580What OpenQuestion holds
Registered trials
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.