Evidence map›Paper›PMID 37039964›Full record

ArticleJournal of nephrology2023

Pre-transplant HbA1c and risk of diabetes mellitus after kidney transplantation: a single center retrospective analysis.

Yassine Laghrib, Annick Massart, Johan Willem de Fijter, Daniel Abramowicz, Christophe De Block, Rachel Hellemans

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Article in Journal of nephrology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

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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 1 institution in 1 country.

Yassine LaghribDepartment of Nephrology-Hypertension, Antwerp University Hospital, Drie Eikenstraat 655, 2650, Edegem, Belgium. laghrib.y@gmail.com.ORCID http://orcid.org/0000-0003-4338-3577
Annick MassartDepartment of Nephrology-Hypertension, Antwerp University Hospital, Drie Eikenstraat 655, 2650, Edegem, Belgium.
Johan Willem de FijterDepartment of Nephrology-Hypertension, Antwerp University Hospital, Drie Eikenstraat 655, 2650, Edegem, Belgium.
Daniel AbramowiczDepartment of Nephrology-Hypertension, Antwerp University Hospital, Drie Eikenstraat 655, 2650, Edegem, Belgium.
Christophe De Block *Department of Endocrinology, Diabetology and Metabolism, Antwerp University Hospital, Drie Eikenstraat 655, 2650, Edegem, Belgium.
Rachel Hellemans *Department of Nephrology-Hypertension, Antwerp University Hospital, Drie Eikenstraat 655, 2650, Edegem, Belgium.
University of Antwerp · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPost-transplant diabetes mellitus occurs in 10-40% of kidney transplant recipients and is associated with increased risk of developing cardiovascular diseases. Early identification of patients with a higher risk of developing diabetes could allow to take timely measures. However, no validated model exists to predict the risk of post-transplant diabetes mellitus.

methodsThis retrospective study includes 267 adult patients who underwent kidney transplantation at the Antwerp University Hospital between January 2014 and August 2021. Post-transplant diabetes mellitus was diagnosed based on the American Diabetes Association definition at 3 months post-transplant. First, a logistic regression analysis was used to identify predictors for post-transplant diabetes mellitus. Second, criteria to identify patients with a high risk (> 35%) of developing post-transplant diabetes mellitus at 3 months were established.

resultsAt 3 months post-transplantation, 54 (20.2%) patients developed post-transplant diabetes mellitus. Univariable analysis showed that age, body mass index and HbA1c on the day of transplantation were associated with post-transplant diabetes mellitus. However, in a multivariable model with the same parameters, only HbA1c remained statistically significant. An absolute increase in HbA1c of 0.1% increases the odds for developing post-transplant diabetes mellitus by 28% (95% confidence interval 1.15-1.42). An HbA1c level ≥ 5.3% at transplantation, regardless of age or body mass index, is sufficient to identify patients with a post-transplant diabetes mellitus risk of ≥ 35% with a positive predictive value of 39% and a negative predictive value of 88%.

conclusionsThe HbA1c value at transplantation was the strongest predictor for post-transplant diabetes mellitus at 3 months post-transplant. Furthermore, at least in our population, a pre-transplant HbA1c of ≥ 5.3% can be used as an easy tool to identify patients at high risk of early post-transplant diabetes mellitus.

Indexed as

Diabetes MellitusKidney TransplantationAdultGlycated HemoglobinHumansRetrospective StudiesRisk FactorsTransplant RecipientsGlycated HemoglobinHbA1cHigh-risk populationKidney transplantationPost-transplant diabetes mellitusPredictors

Identifiers

PMID37039964
OpenAlexW4364352585

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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.