Evidence map›Paper›PMID 28971278›Full record

SynthesisJournal of medical systems2017

A Systematic Review of Wearable Systems for Cancer Detection: Current State and Challenges.

Partha Pratim Ray, Dinesh Dash, Debashis De

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of medical systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 10% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.

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  9. Update on Occupational Cancer for Better Cancer Prevention and Control.Asian Pacific journal of cancer prevention : APJCP · 2024
    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

3 authors at 3 institutions in 1 country.

Partha Pratim RayDepartment of Computer Applications, Sikkim University, Gangtok, India. ppray@cus.ac.in.ORCID http://orcid.org/0000-0003-2306-2792
Dinesh DashDepartment of Computer Science and Engineering, National Institute of Technology, Patna, India.
Debashis DeDepartment of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology (formerly West Bengal University of Technology), Kolkata, India.
Maulana Abul Kalam Azad University of Technology, West Bengal · INNational Institute of Technology Patna · INSikkim University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid growth of sensor and computing platforms have introduced the wearable systems. In recent years, wearable systems have led to new applications across all medical fields. The aim of this review is to present current state-of-the-art approach in the field of wearable system based cancer detection and identify key challenges that resist it from clinical adoption. A total of 472 records were screened and 11 were finally included in this study. Two types of records were studied in this context that includes 45% research articles and 55% manufactured products. The review was performed per PRISMA guidelines where considerations was given to records that were published or reported between 2009 and 2017. The identified records included 4 cancer detecting wearable systems such as breast cancer (36.3%), skin cancer (36.3%), prostate cancer (18.1%), and multi-type cancer (9%). Most works involved sensor based smart systems comprising of microcontroller, Bluetooth module, and smart phone. Few demonstrated Ultra-Wide Band (i.e. UWB) antenna based wearable systems. Skin cancer detecting wearable systems were most comprehensible ones. The current works are gradually progressing with seamless integration of sensory units along with smart networking. However, they lack in cloud computing and long-range communication paradigms. Artificial intelligence and machine learning are key ports that need to be attached with current wearable systems. Further, clinical inertia, lack of awareness, and high cost are altogether pulling back the actual growth of such system. It is well comprehended that upon sincere orientation of all identified challenges, wearable systems would emerge as vital alternative to futuristic cancer detection.

Indexed as

NeoplasmsArtificial IntelligenceHumansCancer detectionInternet of thingsWearable devicesWearable monitoring systems

Identifiers

PMID28971278
OpenAlexW2762114084

What OpenQuestion holds

Textmetadata
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.