Evidence map›Paper›PMID 27077110›Full record

ReviewEBioMedicine2016

Pharmacometabolomics-aided Pharmacogenomics in Autoimmune Disease.

Theodora Katsila, Evangelia Konstantinou, Ioanna Lavda, Harilaos Malakis, Ioanna Papantoni, Lamprini Skondra, George P Patrinos

Abstract readReview
In one paragraph

Review in EBioMedicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

7 authors.

Theodora KatsilaUniversity of Patras, School of Health Sciences, Department of Pharmacy, University Campus, Rion, Patras, Greece.
Evangelia KonstantinouUniversity of Patras, School of Health Sciences, Department of Pharmacy, University Campus, Rion, Patras, Greece.
Ioanna LavdaUniversity of Patras, School of Health Sciences, Department of Pharmacy, University Campus, Rion, Patras, Greece.
Harilaos MalakisUniversity of Patras, School of Health Sciences, Department of Pharmacy, University Campus, Rion, Patras, Greece.
Ioanna PapantoniUniversity of Patras, School of Health Sciences, Department of Pharmacy, University Campus, Rion, Patras, Greece.
Lamprini SkondraUniversity of Patras, School of Health Sciences, Department of Pharmacy, University Campus, Rion, Patras, Greece.
George P PatrinosUniversity of Patras, School of Health Sciences, Department of Pharmacy, University Campus, Rion, Patras, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inter-individual variability has been a major hurdle to optimize disease management. Precision medicine holds promise for improving health and healthcare via tailor-made therapeutic strategies. Herein, we outline the paradigm of "pharmacometabolomics-aided pharmacogenomics" in autoimmune diseases. We envisage merging pharmacometabolomic and pharmacogenomic data (to address the interplay of genomic and environmental influences) with information technologies to facilitate data analysis as well as sense- and decision-making on the basis of synergy between artificial and human intelligence. Humans can detect patterns, which computer algorithms may fail to do so, whereas data-intensive and cognitively complex settings and processes limit human ability. We propose that better-informed, rapid and cost-effective omics studies need the implementation of holistic and multidisciplinary approaches.

Indexed as

Medical InformaticsMetabolomicsAlgorithmsAutoimmune DiseasesDecision Making, Computer-AssistedDrug Therapy, Computer-AssistedGene-Environment InteractionHumansPharmacogeneticsPrecision MedicineAutoimmune diseasesInformation technologiesPharmacometabolomics-aided pharmacogenomicsPrecision medicine

Identifiers

PMID27077110
PMCPMC4816847

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.