Evidence map›Paper›PMID 34522165›Full record

ReviewInternational journal of medical sciences2021

Hypothesis: Immunotherapy by Selective Convalescent Blood Engineering to Stifle Diseases like COVID-19.

Arka Prava Mukherjee

Open access · goldAbstract readReview
In one paragraph

Review in International journal of medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 57% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

1 author at 1 institution in 1 country.

Arka Prava MukherjeeGreka Engineering and Technology, 28 Landmark Plaza, Outer Ring Road 1, CBD, Zhengzhou, 450000, China.
PLA Information Engineering University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current standard vaccine testing protocols take approximately 10-24 months of testing before a vaccine can be declared successful. Sometimes by the time a successful vaccine is out for public use, the outbreak may already be over. With no vaccine or antiviral drug available to treat the infected, we are left with the age-old methods of isolation, quarantine, and rest, to arrest such a viral outbreak. Convalescent blood therapy and covalent plasma therapy have often proved effective in reducing mortality, however, the role of innate and adaptive immune cells in these therapies have been overlooked. Antigen presenting cells (APCs), CD4+ T memory cells, CD8+ T memory cells, and memory B-Cells all play a vital role in sustainable defense and subsequent recovery. This report incorporates all these aspects by suggesting a novel treatment therapy called selective convalescent leukapheresis and transfusion (SCLT) and also highlights its potential in vaccination. The anticipated advantages of the proposed technique outweigh the cost, time, and efficiency of other available transfusion and vaccination processes. It is envisioned that in the future this new approach could serve as a rapid emergency response to subdue a pathogen outbreak and to stop it from becoming an epidemic, or pandemic.

Indexed as

Antigen-Presenting CellsAntiviral AgentsBlood TransfusionCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesCOVID-19COVID-19 SerotherapyCOVID-19 VaccinesCytokinesHumansImmunization, PassiveImmunologic FactorsImmunotherapyLeukapheresisPandemicsSARS-CoV-2Antiviral AgentsCOVID-19 VaccinesCytokinesImmunologic FactorsConvalescent BloodCOVID-19LeukapheresisTransfusion therapyVaccinationWBC

Identifiers

PMID34522165
PMCPMC8436102
OpenAlexW3198036447

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.