Evidence map›Paper›PMID 42539679›Full record

ReviewDigital health

Internet of things and health monitoring of patients with cancer: A scoping review.

Azita Aghebti, Haleh Ayatollahi, Morteza Hemmat

Abstract readReview
In one paragraph

Review in Digital health. 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

3 authors.

Azita AghebtiDepartment of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Haleh AyatollahiHealth Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0003-3974-3648
Morteza HemmatHealth Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Internet of Things (IoT) technology utilizes tools such as smartphones, smartwatches equipped with accelerometers, ingestible dosimeters, and blood pressure and blood glucose monitoring sensors which enables continuous monitoring of patient symptoms. Data collected by these devices are stored and analyzed in a timely manner, contributing to the provision of accurate and reliable information for managing patient health. This study aimed to investigate the role of IoT technology in health monitoring of patients with cancer. Methods: In this scoping review, articles were extracted from different databases including Web of Science, PubMed, Scopus, the Cochrane Library, IEEE Xplore, ProQuest, and Google Scholar search engine from 1 Results: Initially, 384 articles were extracted and after screening and reading their full texts, 20 studies met the inclusion criteria and were included in this study. The use of IoT had clinical and non-clinical impacts, and its benefits included enabling remote monitoring and easy access to data transmitted through devices and applications equipped with this technology. This study showed that IoT significantly enhanced patients' quality of life through precise and continuous health monitoring. Conclusion: The use of IoT technology enables accurate, continuous, and timely collection of health-related data for patients with cancer, and has been well-received by patients. This innovative approach can not only help to improve treatment quality and enhance patients' quality of life, but also has a positive impact on better health management by preventing symptom progression and reducing the likelihood of new complications. Continued investment in technological development and cross-disciplinary collaboration is essential to fully realize the transformative role of IoT in oncology.

Indexed as

cancerinternet of thingspatient monitoring

Identifiers

PMID42539679
PMCPMC13424509

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.