Evidence map›Paper›PMID 25750607›Full record

ArticleJournal of medical and biological engineering

Impact of Haemodialysis on Insulin Kinetics of Acute Kidney Injury Patients in Critical Care.

Ummu K Jamaludin, Paul D Docherty, J Geoffrey Chase, Geoffrey M Shaw

Open access · hybridAbstract read
In one paragraph

Article in Journal of medical and biological engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Variability in Estimated Modelled Insulin Secretion.Journal of diabetes science and technology · 2022
    Article
  5. Estimating Increased EGP During Stress Response in Critically Ill Patients.Journal of diabetes science and technology · 2021
    Article
  6. Article
  7. Review
  8. Untangling glycaemia and mortality in critical care.Critical care (London, England) · 2017
    Article
  9. Article
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

4 authors at 3 institutions in 2 countries.

Ummu K JamaludinFaculty of Mechanical Engineering, Universiti Malaysia Pahang, 26600 Pekan, Pahang Malaysia.
Paul D DochertyDepartment of Mechanical Engineering, Centre of Bioengineering, University of Canterbury, Private Bag 4800, Christchurch, 8140 New Zealand.
J Geoffrey ChaseDepartment of Mechanical Engineering, Centre of Bioengineering, University of Canterbury, Private Bag 4800, Christchurch, 8140 New Zealand.
Geoffrey M ShawDepartment of Intensive Care Christchurch School of Medicine and Health Science, PO Box 4345, Christchurch, 8140 New Zealand.
University of Canterbury · NZChristchurch Clinical Studies Trust · NZUniversiti Malaysia Pahang Al-Sultan Abdullah · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Critically ill patients are occasionally associated with an abrupt decline in renal function secondary to their primary diagnosis. The effect and impact of haemodialysis (HD) on insulin kinetics and endogenous insulin secretion in critically ill patients remains unclear. This study investigates the insulin kinetics of patients with severe acute kidney injury (AKI) who required HD treatment and glycaemic control (GC). Evidence shows that tight GC benefits the onset and progression of renal involvement in precocious phases of diabetic nephropathy for type 2 diabetes. The main objective of GC is to reduce hyperglycaemia while determining insulin sensitivity. Insulin sensitivity (

Indexed as

Acute kidney injuryHaemodialysisInsulin sensitivityIntensive care unitTight glycaemic control

Identifiers

PMID25750607
PMCPMC4342528
OpenAlexW109845304

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.