Evidence map›Paper›PMID 32466535›Full record

ArticleInternational journal of molecular sciences2020

Pharmacogenetics in Model-Based Optimization of Bevacizumab Therapy for Metastatic Colorectal Cancer.

Apostolos Papachristos, Eleni Karatza, Haralabos Kalofonos, Gregory Sivolapenko

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  5. Cells · 2022
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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

4 authors at 3 institutions in 1 country.

Apostolos PapachristosLaboratory of Pharmacokinetics, Department of Pharmacy, School of Health Sciences, University of Patras, 26504 Patra, Greece.
Eleni KaratzaDepartment of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, 15771 Athens, Greece.ORCID 0000-0001-8406-4121
Haralabos KalofonosDivision of Medical Oncology, University Hospital of Patras, 26504 Patra, Greece.
Gregory SivolapenkoLaboratory of Pharmacokinetics, Department of Pharmacy, School of Health Sciences, University of Patras, 26504 Patra, Greece.
University of Patras · GRGeneral University Hospital of Patras · GRNational and Kapodistrian University of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vascular endothelial growth factor A (VEGF-A) and intercellular adhesion molecule 1 (ICAM-1) are significant regulators of angiogenesis, an important biological process involved in carcinogenesis. Bevacizumab, an anti-VEGF monoclonal antibody (MAB), is approved for the treatment of metastatic Colorectal cancer (mCRC), however clinical outcomes are highly variable. In the present study, we developed a pharmacokinetic (PK), a simplified quasi-steady state (QSS) and a pharmacokinetic/pharmacodynamic (PK/PD) model to identify potential sources of variability. A total of 46 mCRC patients, who received bevacizumab in combination with chemotherapy were studied.

Indexed as

Pharmacogenomic VariantsAgedAngiogenesis InhibitorsBevacizumabColorectal NeoplasmsFemaleHumansIntercellular Adhesion Molecule-1MaleMetabolic Clearance RateMiddle AgedNeoplasm MetastasisPolymorphism, Single NucleotideVascular Endothelial Growth Factor AAngiogenesis InhibitorsBevacizumabIntercellular Adhesion Molecule-1Vascular Endothelial Growth Factor Abevacizumabmodelingpharmacodynamicspharmacogeneticspharmacokinetics

Identifiers

PMID32466535
PMCPMC7311957
OpenAlexW3029588165

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.