Evidence map›Paper›PMID 32187712›Full record

ArticleJournal of clinical pharmacy and therapeutics2020

Genomic research delivering on promises: From rejuvenation to vaccines and pharmacogenetics.

Alain Li Wan Po

Abstract readHistorical Article
In one paragraph

Article in Journal of clinical pharmacy and therapeutics, 2020. 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. Article
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.

Alain Li Wan PoCentre for Evidence-Based Practice, Nottingham, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

WHAT IS KNOWN AND

objectiveThere has been astounding progress made in the treatment of disease over recent years. This progress is particularly marked in cell therapy and in the personalization of therapy based on genetic insight, an approach known as genomic medicine. Our objective is to comment on the progress made in cell and genomic medicine against an historical backcloth of the search for rejuvenation. COMMENT: In 1741, close to seven decades after Antoine van Leeuwenhoek first saw his microscopic animalcules, Abraham Trembley, a tutor in Leiden, reported on an organism that could regenerate itself. The strange organism was thought to hold the secret of life. If it does, we have yet to prise the secret out. However, the ensuing study of cell programming and induced stem cells has shed considerable light on cellular development and provided new insights on the rejuvenative capacity of organisms. Inventive scientists have provided a deeper understanding of cell replication and, from this, developed new medicines for an increasing range of diseases. Targeted therapies, oligonucleotide therapy, therapeutic monoclonal antibodies and pharmacogenetics are all new therapeutic areas originating from the improved insights. More will surely follow. WHAT IS NEW AND

conclusionImmortality is for the gods, but man's search for its elusive secrets, perhaps as old as man himself, will continue. Huge leaps have been made, and effective medicines have been developed from our improved insights into the mechanism of life. However, only the foolish will predict how far this new knowledge will lead us, and more particularly, at what speed new therapies will follow.

Indexed as

EuropeHistory, 18th CenturyHistory, 19th CenturyHistory, 20th CenturyHistory, 21st CenturyHumansPharmacogeneticscell therapygene editingimmortalitypharmacogeneticspharmacogenomicspluripotent stem cellsregenerative medicinetargeted therapy

Identifiers

PMID32187712
PMCPMC7228298

What OpenQuestion holds

Textmetadata
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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.