Evidence map›Paper›PMID 39261619›Full record

ArticleScientific reports2024

Perioperative glucose monitoring with continuous glucose monitors identifies risk factors for post-transplant diabetes mellitus in kidney transplant recipients.

Jiyoung Shin, Eun-Ah Jo, Hye Yong Woo, Ara Cho, Myeonghyeon Ko, Sangwan Kim, Ahram Han, Jongwon Ha, Sangil Min

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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
–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

4 citing papers in PubMed.

  1. Review
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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.

Jiyoung Shin *Division of Transplantation and Vascular Surgery, Department of Surgery, Seoul National University College of Medicine, Seoul, Republic of Korea.
Eun-Ah Jo *Department of Surgery, Chung-Ang University Hospital, Seoul, Republic of Korea.
Hye Yong WooDivision of Transplantation and Vascular Surgery, Department of Surgery, Seoul National University College of Medicine, Seoul, Republic of Korea.
Ara ChoDivision of Transplantation and Vascular Surgery, Department of Surgery, Seoul National University College of Medicine, Seoul, Republic of Korea.
Myeonghyeon KoDivision of Transplantation and Vascular Surgery, Department of Surgery, Seoul National University College of Medicine, Seoul, Republic of Korea.
Sangwan KimInstitute of Health Policy and Management, Seoul National University Medical Research Center, Seoul, Republic of Korea.
Ahram HanDivision of Transplantation and Vascular Surgery, Department of Surgery, Seoul National University College of Medicine, Seoul, Republic of Korea.
Jongwon HaDivision of Transplantation and Vascular Surgery, Department of Surgery, Seoul National University College of Medicine, Seoul, Republic of Korea.
Sangil MinDivision of Transplantation and Vascular Surgery, Department of Surgery, Seoul National University College of Medicine, Seoul, Republic of Korea. surgeonmsi@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-transplantation diabetes mellitus (PTDM) negatively affects graft and patient survival after kidney transplantation (KT). This prospective study used continuous glucose monitoring (CGM) to evaluate perioperative blood glucose dynamics, identify PTDM risk factors, and compare predictive accuracy with capillary blood glucose monitoring (CBGM) in 60 non-diabetic living-donor KT recipients. Patients underwent 2-week pre- and postoperative CGM, including routine CBGM during their in-hospital stays. PTDM-related risk factors and glucose profiles were analyzed with postoperative CGM and CBG. PTDM developed in 14 (23.3%) patients and was associated with older age, male sex, higher baseline HbA1c, high-density lipoprotein cholesterol, and 3-month cumulative tacrolimus exposure levels. Male sex and postoperative time above the range (TAR) of 180 mg/dL by CGM were PTDM-related risk factors in the multivariate analysis. For predictive power, the CGM model with postoperative glucose profiles exhibited higher accuracy compared with the CBGM model (areas under the curves of 0.916, and 0.865, respectively). Therefore, we found that male patients with a higher postoperative TAR of 180 mg/dL have an increased risk of PTDM. Postoperative CGM provides detailed glucose dynamics and demonstrates superior predictive potential for PTDM than CBGM.

Indexed as

Blood GlucoseDiabetes MellitusKidney TransplantationAdultAgedBlood Glucose Self-MonitoringFemaleHumansMaleMiddle AgedPerioperative PeriodPostoperative ComplicationsProspective StudiesRisk FactorsTransplant RecipientsBlood GlucoseBlood glucoseContinuous glucose monitoringDiabetes mellitusFollow upKidney transplantationPostoperative care

Identifiers

PMID39261619
PMCPMC11390710

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.