Evidence map›Paper›PMID 30973904›Full record

ArticlePloS one2019

Association of genetic polymorphisms with acute kidney injury after cardiac surgery in a Southeast Asian population.

Kah Ming Eddy Saw, Rui Ge Roderica Ng, Siew Pang Chan, Yi Hui Ang, Lian Kah Ti, Tsong Huey Sophia Chew

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. 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
0.6field-weighted citation impact, top 34% 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, 8 citations in OpenAlex.

  1. Article
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  4. TheJournal of clinical medicine · 2020
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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

6 authors at 4 institutions in 2 countries.

Kah Ming Eddy SawDepartment of Anaesthesiology, Singapore General Hospital, Academia, Level 5, Singapore.ORCID 0000-0002-9929-5659
Rui Ge Roderica NgDepartment of Anaesthesiology, Singapore General Hospital, Academia, Level 5, Singapore.
Siew Pang ChanCardiovascular Research Institute, National University Health System, Singapore.
Yi Hui AngDepartment of Anaesthesia, National University Health System, Singapore.
Lian Kah TiDepartment of Anaesthesia, National University Health System, Singapore.
Tsong Huey Sophia ChewDepartment of Anaesthesiology, Singapore General Hospital, Academia, Level 5, Singapore.
National University of Singapore · SGSingapore General Hospital · SGLa Trobe University · AUNational University Health System · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGenetic polymorphisms are important in explaining the wide interpatient variability that exists in the development of acute kidney injury (AKI) post cardiac surgery. We hypothesised that polymorphisms in 4 candidate genes, namely angiotensin-converting enzyme (ACE), apolipoprotein-E (ApoE), interleukin-6 (IL-6), and tumour necrosis factor-alpha (TNF-α) are associated with AKI.

methods870 patients who underwent cardiac surgery in Singapore were analysed. All patients who fulfilled stage 1 KDIGO criteria and above were considered to have AKI. This was investigated against various demographic, clinical and genetic factors.

resultsIncreased age, history of hypertension, anaemia and renal impairment remained important preoperative risk factors for AKI. Intraoperatively, longer cardiopulmonary bypass (CPB) time and the use of intra-aortic balloon pump (IABP) were shown to be associated with AKI. Among the genetic factors, ACE-D allele was associated with an increased risk of AKI while IL6-572C allele was associated with a decreased risk of AKI.

conclusionACE-D allele was associated with the development of AKI similar to other studies. On the other hand, IL6-572C was shown to have a protective role against the development of AKI, contradictory to studies done in the Caucasian population. This contradictory effect of IL6-572C is a result of a complex interplay between the gene and population specific modulating factors. Our findings further underscored the necessity of taking into account population specific differences when developing prediction models for AKI.

Indexed as

Acute Kidney InjuryAgedApolipoproteins EAsian PeopleCardiac Surgical ProceduresFemaleHumansInterleukin-6MaleMiddle AgedPeptidyl-Dipeptidase APolymorphism, GeneticPostoperative ComplicationsRetrospective StudiesRisk AssessmentRisk FactorsACE protein, humanApoE protein, humanApolipoproteins EIL6 protein, humanInterleukin-6Peptidyl-Dipeptidase ATNF protein, humanTumor Necrosis Factor-alpha

Identifiers

PMID30973904
PMCPMC6459593
OpenAlexW2938674052

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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.