Evidence map›Paper›PMID 23103955›Full record

ArticleIntensive care medicine2013

Early change in blood glucose concentration is an indicator of mortality in critically ill children.

Prabhakar P Nayak, Paul Davies, Parth Narendran, Simon Laker, Fang Gao, Stephen C L Gough, John Stickley, Kevin P Morris

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Article in Intensive care medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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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

8 authors.

Prabhakar P NayakDepartment of Paediatric Intensive Care Medicine, Birmingham Children's Hospital Foundation NHS Trust, Steelhouse Lane, Birmingham, B4 6NH, UK.
Paul Davies
Parth Narendran
Simon Laker
Fang Gao
Stephen C L Gough
John Stickley
Kevin P Morris

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveHyperglycaemia is associated with increased mortality in critically ill patients. A number of studies have highlighted an association between increased variability of blood glucose (BG) concentration and mortality, supporting a survival disadvantage if BG homeostasis is lost. By exploring the longitudinal BG profile of individual children over time, this study investigates the importance of intact homeostasis early after admission to the paediatric intensive care unit (PICU). DESIGN, SETTING, AND PATIENTS: Retrospective single-centre observational study in a large multi-specialty PICU in the UK. Children admitted between August 2003 and February 2006 were included unless they met exclusion criteria. Data were merged from the PICU clinical database and blood gas analyser database by means of a unique PICU identifier. BG was measured frequently on a blood gas analyser (Bayer Rapidlink). Primary outcome was 100-day mortality. BG parameters were investigated for possible associations with mortality. MEASUREMENTS AND MAIN

resultsA total of 1,763 patients were included (median age 1.1 years; IQR 0.1-5.8). Although admission BG was not associated with mortality, a survival advantage was found in children who showed a reduction in BG on day 1 relative to the admission BG value (p < 0.001). This remained statistically significant (p = 0.007) after adjusting for severity of illness.

conclusionsThis study supports an association between early BG profile and mortality in children admitted to PICU, with increased survival in those who demonstrate a fall in BG on day 1 relative to PICU admission. These findings are consistent with a survival advantage of intact BG homeostasis.

Indexed as

Blood GlucoseCritical CareCritical IllnessHumansHyperglycemiaInfantLongitudinal StudiesRetrospective StudiesBlood Glucose

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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.