Evidence map›Paper›PMID 39338894›Full record

ReviewSensors (Basel, Switzerland)2024

From Biosensors to Robotics: Pioneering Advances in Breast Cancer Management.

Mohd Rahil Hasan, Mohd Mughees, Shifa Shaikh, Furqan Choudhary, Anam Nizam, Amber Rizwan, Onaiza Ansari, Yusra Iqbal, Roberto Pilloton, Saima Wajid and 1 more

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Mohd Rahil HasanDepartment of Biotechnology, Jamia Hamdard, New Delhi 110062, India.
Mohd MugheesDepartment of Biotechnology, Jamia Hamdard, New Delhi 110062, India.
Shifa ShaikhDepartment of Biotechnology, Jamia Hamdard, New Delhi 110062, India.
Furqan ChoudharyDepartment of Biotechnology, Jamia Hamdard, New Delhi 110062, India.
Anam NizamDepartment of Biotechnology, Jamia Hamdard, New Delhi 110062, India.
Amber RizwanDepartment of Biotechnology, Jamia Hamdard, New Delhi 110062, India.
Onaiza AnsariDepartment of Biotechnology, Jamia Hamdard, New Delhi 110062, India.
Yusra IqbalDepartment of Biotechnology, Jamia Hamdard, New Delhi 110062, India.
Roberto PillotonCNR-IC, Area della Ricerca di RM1, Via Salaria km 29.3, Monterotondo, I-00015 Rome, Italy.ORCID 0000-0002-5329-110X
Saima WajidDepartment of Biotechnology, Jamia Hamdard, New Delhi 110062, India.ORCID 0000-0003-1558-8233
Jagriti NarangDepartment of Biotechnology, Jamia Hamdard, New Delhi 110062, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer stands as the most prevalent form of cancer amongst females, constituting more than one-third of all cancer cases affecting women. It causes aberrant cell development, which can assault or spread to other sections of the body, perhaps leading to the patient's death. Based on research findings, timely detection can diminish the likelihood of mortality and enhance the quality of healthcare provided for the illness. However, current technologies can only identify cancer at an advanced stage. Consequently, there is a substantial demand for rapid and productive approaches to detecting breast cancer. Researchers are actively pursuing precise and timely methods for the diagnosis of breast cancer, aiming to achieve enhanced accuracy and early detection. Biosensor technology can allow for the speedy and accurate diagnosis of cancer-related cells, as well as a more sensitive and specialized technique for generating them. Additionally, numerous treatments for breast cancer are depicted such as herbal therapy, nanomaterial-based drug delivery, miRNA targeting, CRISPR technology, immunotherapy, and precision medicine. Early detection and efficient therapy are necessary to manage such a severe illness properly.

Indexed as

Biosensing TechniquesBreast NeoplasmsRoboticsFemaleHumansMicroRNAsPrecision MedicineMicroRNAsbiosensorbreast cancersurgerytherapytherasurgynostic

Identifiers

PMID39338894
PMCPMC11435941

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.