Evidence map›Paper›PMID 36614814›Full record

ArticleJournal of clinical medicine2022

Prognostic Significance of Baseline Blood Glucose Levels and Glucose Variability in Severe Acute Kidney Injury: A Secondary Analysis from the RENAL Study.

Ying Xie, Jin Lin, Martin Gallagher, Rinaldo Bellomo, Xia Wang, Meg Jardine, Meili Duan, Amanda Wang, Renal Study Investigators and the Anzics Clinical Trials Group

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. 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
0.8field-weighted citation impact, top 24% 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, 6 citations in OpenAlex.

  1. Article
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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

9 authors at 4 institutions in 2 countries.

Ying XieThe Second Affiliated Hospital, Soochow University, Suzhou 215004, China.
Jin LinThe George Institute for Global Health, University of New South Wales, Newtown, NSW 2042, Australia.
Martin GallagherThe George Institute for Global Health, University of New South Wales, Newtown, NSW 2042, Australia.
Rinaldo BellomoThe George Institute for Global Health, University of New South Wales, Newtown, NSW 2042, Australia.
Xia WangThe George Institute for Global Health, University of New South Wales, Newtown, NSW 2042, Australia.
Meg JardineThe George Institute for Global Health, University of New South Wales, Newtown, NSW 2042, Australia.
Meili DuanBeijing Friendship Hospital, Capital Medical University, Beijing 100052, China.
Amanda WangThe George Institute for Global Health, University of New South Wales, Newtown, NSW 2042, Australia.
Renal Study Investigators and the Anzics Clinical Trials Group
The George Institute for Global Health · AUUNSW Sydney · AUCapital Medical University · CNConcord Repatriation General Hospital · AU

Funding

National Natural Science Foundation of China 81670742Suzhou Municipal Science and Technology Bureau szxk201804
6 · The paper itself

Abstract

Aim: To study the associations between baseline blood glucose levels (BGL), glycemic variability and clinical outcomes in patients with severe acute kidney injury (AKI) receiving continuous renal replacement therapy (CRRT). Methods: We performed a secondary analysis of the Randomized Evaluation of Normal versus Augmented Level of RRT (RENAL) study. A multivariate Cox regression model was used to assess the association between baseline BGL, glycemic variability and clinical outcomes. The primary outcome was all-cause mortality, and secondary outcomes were duration of hospital and intensive care unit (ICU) stay. Results: Baseline BGL data were available in 1404 out of 1508 patients from the RENAL study. Among them, 627 patients died within 90 days of randomization. Compared to patients in the second quartile (BGL 5.8−7.2 mmol/L), patients in the first quartile (BGL < 5.8 mmol/L) had increased mortality rate (90-day HR 1.48; p = 0.001; 28-day HR 1.47; p = 0.042). However, there were no significant differences in ICU and hospital length of stay (LOS) (p = 0.82 and p = 0.33, respectively). Glycemic variability data were from 1345 out of 1404 patients who had data for BG values within 28 days. Higher coefficient of variation (CV) (HR 1.02; P trend = 0.002) and standard deviation value (SD) (HR 1.29; P trend = 0.027) were associated with higher risk of death at day 90. Conclusions: We identified a low BGL within the normal physiological range at baseline and greater CV and SD values as significant modifiable risk factors for mortality in severe AKI patients in ICU, which may be a target for intervention.

Indexed as

acute kidney injuryblood glucose levelsglycemic variabilitymortalityrenal re-placement therapy

Identifiers

PMID36614814
PMCPMC9821032
OpenAlexW4312070746

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.