Evidence map›Paper›PMID 35008377›Full record

ReviewCancers2022

Synergistic Action of Immunotherapy and Nanotherapy against Cancer Patients Infected with SARS-CoV-2 and the Use of Artificial Intelligence.

Tanvi Gupta, Tilahun Ayane Debele, Yu-Feng Wei, Anish Gupta, Mohd Murtaza, Wen-Pin Su

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2022. 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
0.2field-weighted citation impact, top 49% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

6 authors at 5 institutions in 3 countries.

Tanvi GuptaInstitute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan.ORCID 0000-0002-5443-5056
Tilahun Ayane DebeleDepartment of Biomedical, Chemical & Environmental Engineering, College of Engineering and Applied Science (CEAS), University of Cincinnati, Cincinnati, OH 45221, USA.
Yu-Feng WeiDepartment of Internal Medicine, School of Medicine for International Students, College of Medicine, E-Da Cancer Hospital, I-Shou University, Kaohsiung 824, Taiwan.
Anish GuptaDevscope IT, First Floor, 40A/B Gandhi Nagar, Jammu 180001, India.
Mohd MurtazaMicrobial Biotechnology Division, CSIR-Indian Institute of Integrative Medicine, Jammu 180012, India.ORCID 0000-0001-9512-3772
Wen-Pin SuInstitute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan.ORCID 0000-0003-0863-203X
Indian Institute of Integrative Medicine · INI-Shou University · TWNational Cheng Kung University · TWNational Cheng Kung University Hospital · TWUniversity of Cincinnati · US

Funding

Department of Urology, Kaohsiung Medical University Hospital MOHW 110-TDU-B-212-124006E-DA hospital NCKUEDA11005Ministry of Science and Technology, Taiwan MOST 109-2314-B-006-078, 110-2314-B-006-108, 109-2314-B-006-084-MY3, and MOST 110-2321-B-006-005)National Cheng Kung University Hospital NCKUH-11002002
6 · The paper itself

Abstract

Since 2019, the SARS-CoV-2 pandemic has caused a huge chaos throughout the world and the major threat has been possessed by the immune-compromised individuals involving the cancer patients; their weakened immune response makes them vulnerable and susceptible to the virus. The oncologists as well as their patients are facing many problems for their treatment sessions as they need to postpone their surgery, chemotherapy, or radiotherapy. The approach that could be adopted especially for the cancer patients is the amalgamation of immunotherapy and nanotherapy which can reduce the burden on the healthcare at this peak time of the infection. There is also a need to predict or analyze the data of cancer patients who are at a severe risk of being exposed to an infection in order to reduce the mortality rate. The use of artificial intelligence (AI) could be incorporated where the real time data will be available to the physicians according to the different patient's clinical characteristics and their past treatments. With this data, it will become easier for them to modify or replace the treatment to increase the efficacy against the infection. The combination of an immunotherapy and nanotherapy will be targeted to treat the cancer patients diagnosed with SARS-CoV-2 and the AI will act as icing on the cake to monitor, predict and analyze the data of the patients to improve the treatment regime for the most vulnerable patients.

Indexed as

artificial intelligencecancerimmunotherapynanotherapy

Identifiers

PMID35008377
PMCPMC8750412
OpenAlexW4205887122

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.