Evidence map›Paper›PMID 40351899›Full record

ReviewCureus2025

A Bibliometric Review of Actigraphy-Based Sleep Research in Diabetes.

Ayesha Juhi, Himel Mondal

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

2 authors.

Ayesha JuhiPhysiology, All India Institute of Medical Sciences, Deoghar, IND.
Himel MondalPhysiology, All India Institute of Medical Sciences, Deoghar, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Actigraphy is a valuable tool for objectively assessing sleep patterns, with growing interest in its application to sleep research in patients with diabetes mellitus. Sleep disturbances are increasingly recognized as modifiable risk factors for metabolic dysregulation, yet the research landscape in this domain remains unclear. This bibliometric analysis aimed to evaluate global research trends, influential contributors, and thematic developments in actigraphy, sleep, and diabetes. Data were retrieved from PubMed, covering the period from 2005 to 2024, and analyzed using Biblioshiny and VOSviewer to assess publication growth, collaboration networks, keyword co-occurrence, and thematic evolution. A total of 203 publications from 101 sources were identified, with an annual growth rate of 18.11%, indicating rising research interest. Contributions from 1,170 authors demonstrated strong collaboration, with 10.84% of studies involving international co-authorship. Core journals, including SLEEP, SLEEP MEDICINE, and JOURNAL OF SLEEP RESEARCH, played a dominant role, while institutions such as Kyoto University and the University of Illinois at Chicago emerged as leading research hubs. Thematic analysis revealed a transition from foundational studies on glucose metabolism and polysomnography to investigations of circadian rhythms, actigraphy-based sleep monitoring, and metabolic health. Recent trends highlight emerging topics such as gestational diabetes and mental health, signaling shifting research priorities. While collaboration networks indicate strong regional clusters, greater international partnerships are needed to improve research diversity and applicability. This study highlights the expanding role of actigraphy in sleep and diabetes research, with implications for adaptive medicine, artificial intelligence-driven sleep analytics, and digital health interventions.

Indexed as

actigraphybibliometric analysiscircadian rhythmdiabetesglucose monitoringinsulin resistancemetabolic healthsleepsleep disorderswearable technology

Identifiers

PMID40351899
PMCPMC12066017

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.