Evidence map›Paper›PMID 41567755›Full record

ArticleTransplantation direct2026

A Digital Health Framework to Assess Glycemia and Physical Activity in Kidney Transplant Candidates: A Pilot Study.

Carina M Flaherty, Christopher Sanchez, Celina Liu, Dhairya Upadhyay, Dorry L Segev, Nicole Ali, Joseph Lee, Mara McAdams-DeMarco, Morgan E Grams, Souptik Barua

Abstract read
In one paragraph

Article in Transplantation direct, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Carina M FlahertyDivision of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY.
Christopher SanchezDivision of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY.
Celina LiuDivision of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY.
Dhairya UpadhyayDivision of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY.
Dorry L SegevDepartment of Surgery, New York University Grossman School of Medicine, New York, NY.
Nicole AliTransplant Institute, New York University Grossman School of Medicine, New York, NY.
Joseph LeeTransplant Institute, New York University Grossman School of Medicine, New York, NY.
Mara McAdams-DeMarcoDepartment of Surgery, New York University Grossman School of Medicine, New York, NY.
Morgan E GramsDivision of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY.
Souptik BaruaDivision of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY.ORCID https://orcid.org/0000-0002-1675-8874

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Kidney transplant recipients are at risk for adverse health outcomes. Digital health tools such as wearable accelerometers and continuous glucose monitors (CGMs) can provide detailed, noninvasive tracking of health behaviors and measures, such as physical activity, sleep, and glucose levels, that may offer insights into future health concerns, such as posttransplant diabetes mellitus, cognitive health, and transplant rejection. However, there is limited evidence on the feasibility and acceptability of these devices in kidney transplant candidates older than 50 y. Methods: This observational cross-sectional pilot study aimed to examine the feasibility of 2 digital health tools: an accelerometer and a continuous glucose monitor. Participants were eligible for the study if they were living donor kidney transplant candidates, aged 50 y or older, had no known cognitive impairments, and could provide informed consent. Participants were asked to wear a CGM and an accelerometer for up to 14 d before their kidney transplant surgery. Device feasibility was quantified by (1) the total time the devices were worn, and (2) the validated System Usability Scale survey administered after the devices were returned. Results: 20 participants enrolled in the study (mean age 64 ± 9 y, 25% women, 40% with type 2 diabetes). The median number of days of accelerometer and CGM wear were 7 (interquartile range, 6-10) d and 7 (interquartile range, 7-10) d, respectively. Ninety percent of participants reported a favorable opinion of both devices. Participants wore the CGM 100% of the time and the accelerometer 90% of the time, indicating high adherence. Conclusions: The use of digital devices was acceptable among kidney transplant candidates aged older than 50 y, paving the way for larger studies to identify early digital biomarkers of health outcomes in this high-risk population.

Identifiers

PMID41567755
PMCPMC12818855

What Socratic holds

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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.