Evidence map›Paper›PMID 32894076›Full record

ArticleBMC nephrology2020

Clinical and genetic risk factors for new-onset diabetes mellitus after transplantation (NODAT) in major transplant centres in Malaysia.

Rhanye Mac Guad, Andrew W Taylor-Robinson, Yuan Seng Wu, Siew Hua Gan, Nur Lisa Zaharan, Roma Choudhury Basu, Constance Sat Lin Liew, Wan Ahmad Hafiz Wan Md Adnan

Abstract read
In one paragraph

Article in BMC nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Diabetes and Cardiovascular Risk in Renal Transplant Patients.International journal of molecular sciences · 2021
    Review
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.

Rhanye Mac GuadDepartment of Biomedical Science and Therapeutics, Faculty of Medicine & Health Science, Universiti Malaysia Sabah, Jalan UMS, 88400, Kota Kinabalu, Sabah, Malaysia. rhanye@ums.edu.my.ORCID 0000-0003-2453-3760
Andrew W Taylor-RobinsonInfectious Diseases Research Group, School of Medical & Applied Sciences, Central Queensland University, Rockhampton, QLD, 4702, Australia.
Yuan Seng WuDepartment of Biochemistry, Faculty of Medicine, Bioscience and Nursing, MAHSA University, Jenjarom, Selangor Darul Ehsan, Malaysia.
Siew Hua GanSchool of Pharmacy, Monash University Malaysia, Subang Jaya, Selangor Darul Ehsan, Malaysia.
Nur Lisa ZaharanDepartment of Pharmacology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
Roma Choudhury BasuClinical Investigation Centre, University Malaya Medical Centre, Kuala Lumpur, Malaysia.
Constance Sat Lin LiewMedical Based Department, Faculty of Medicine & Health Science, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia.
Wan Ahmad Hafiz Wan Md AdnanDivision of Nephrology, Department of Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.

Funding

University Malaya Research Grant RG506-13HTM
6 · The paper itself

Abstract

backgroundNew-onset diabetes after transplantation (NODAT) is associated with reduced patient and graft survival. This study examined the clinical and selected genetic factors associated with NODAT among renal-transplanted Malaysian patients.

methodsThis study included 168 non-diabetic patients (58% males, 69% of Chinese ethnicity) who received renal transplantation between 1st January 1994 to 31st December 2014, and were followed up in two major renal transplant centres in Malaysia. Fasting blood glucose levels were used to diagnose NODAT in patients who received renal transplantation within 1 year. Two single nucleotide polymorphisms (SNPs), namely; rs1494558 (interleukin-7 receptor, IL-7R) and rs2232365 (mannose-binding leptin-2, MBL2) were selected and genotyped using Sequenom MassArray platform. Cox proportional hazard regression analyses were used to examine the risk of developing NODAT according to the different demographics and clinical covariates, utilizing four time-points (one-month, three-months, six-months, one-year) post-transplant.

resultsSeventeen per cent of patients (n = 29, 55% males, 69% Chinese) were found to have developed NODAT within one-year of renal transplantation based on their fasting blood glucose levels. NODAT patients had renal transplantation at an older age compared to non-NODAT (39.3 ± 13.4 vs 33.9 ± 11.8 years, p = 0.03). In multivariate analysis, renal-transplanted patients who received a higher daily dose of cyclosporine (mg) were associated with increased risk of NODAT (Hazard ratio (HR) =1.01 per mg increase in dose, 95% confidence interval (CI) 1.00-1.01, p = 0.002). Other demographic (gender, ethnicities, age at transplant) and clinical factors (primary kidney disease, type of donor, place of transplant, type of calcineurin inhibitors, duration of dialysis pre-transplant, BMI, creatinine levels, and daily doses of tacrolimus and prednisolone) were not found to be significantly associated with risk of NODAT. GA genotype of rs1494558 (HR = 3.15 95% CI 1.26, 7.86) and AG genotype of rs2232365 (HR = 2.57 95% CI 1.07, 6.18) were associated with increased risk of NODAT as compared to AA genotypes.

conclusionThe daily dose of cyclosporine and SNPs of IL-7R (rs1494558) and MBL2 (rs2232365) genes are significantly associated with the development of NODAT in the Malaysian renal transplant population.

Indexed as

Kidney TransplantationAdultAge FactorsCalcineurin InhibitorsCyclosporineDiabetes MellitusFemaleGenetic Predisposition to DiseaseGraft RejectionGraft SurvivalHumansImmunosuppressive AgentsInterleukin-7 Receptor alpha SubunitKidney Failure, ChronicMalaysiaMaleCalcineurin InhibitorsCyclosporineIL7R protein, humanImmunosuppressive AgentsInterleukin-7 Receptor alpha SubunitMannose-Binding LectinMBL2 protein, humanCyclosporineImmunosuppressionNew-onset diabetesPolymorphismPost-renal transplantRisk factors

Identifiers

PMID32894076
PMCPMC7487857

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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.