Evidence map›Paper›PMID 32235355›Full record

ReviewHigh-throughput2020

DMET

Giuseppe Agapito, Marzia Settino, Francesca Scionti, Emanuela Altomare, Pietro Hiram Guzzi, Pierfrancesco Tassone, Pierosandro Tagliaferri, Mario Cannataro, Mariamena Arbitrio, Maria Teresa Di Martino

Open access · goldAbstract readReview
In one paragraph

Review in High-throughput, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

3 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

10 authors at 2 institutions in 1 country.

Giuseppe AgapitoDepartment of Medical and Surgical Sciences, Magna Graecia University, 88100 Catanzaro, Italy.
Marzia SettinoDepartment of Medical and Surgical Sciences, Magna Graecia University, 88100 Catanzaro, Italy.ORCID 0000-0001-5558-9033
Francesca SciontiDepartment of Experimental and Clinical Medicine, Magna Graecia University, Salvatore Venuta University Campus, 88100 Catanzaro, Italy.
Emanuela AltomareDepartment of Experimental and Clinical Medicine, Magna Graecia University, Salvatore Venuta University Campus, 88100 Catanzaro, Italy.
Pietro Hiram GuzziDepartment of Medical and Surgical Sciences, Magna Graecia University, 88100 Catanzaro, Italy.
Pierfrancesco TassoneDepartment of Experimental and Clinical Medicine, Magna Graecia University, Salvatore Venuta University Campus, 88100 Catanzaro, Italy.
Pierosandro TagliaferriDepartment of Experimental and Clinical Medicine, Magna Graecia University, Salvatore Venuta University Campus, 88100 Catanzaro, Italy.
Mario CannataroDepartment of Medical and Surgical Sciences, Magna Graecia University, 88100 Catanzaro, Italy.ORCID 0000-0003-1502-2387
Mariamena ArbitrioCNR-Institute for Biomedical Research and Innovation, 88100 Catanzaro, Italy.
Maria Teresa Di MartinoDepartment of Experimental and Clinical Medicine, Magna Graecia University, Salvatore Venuta University Campus, 88100 Catanzaro, Italy.ORCID 0000-0002-8205-2706
Magna Graecia University · ITInstitute for Biomedical Research and Innovation · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The knowledge of genetic variants in genes involved in drug metabolism may be translated into reduction of adverse drug reactions, increase of efficacy, healthcare outcomes improvement and economic benefits. Many high-throughput tools are available for the genotyping of Single Nucleotide Polymorphisms (SNPs) known to be related to drugs and xenobiotics metabolism. DMET

Indexed as

bioinformatic toolsDMETTM platformGMQLpharmacogenomicsSNPs

Identifiers

PMID32235355
PMCPMC7362183
OpenAlexW3013025744

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.