Evidence map›Paper›PMID 31621554›Full record

ReviewBosnian journal of basic medical sciences2020

In vitro toxicity model: Upgrades to bridge the gap between preclinical and clinical research.

Eneko Madorran, Andraž Stožer, Sebastjan Bevc, Uroš Maver

Open access · goldAbstract readReview
In one paragraph

Review in Bosnian journal of basic medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

22 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Hepatic cellular stress response pathways exhibit species differences in basal and inducible activity.Toxicological sciences : an official journal of the Society of Toxicology · 2026
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  15. Antiobesity Drug Discovery Research:Current drug targets · 2024
    Review
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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 1 institution in 1 country.

Eneko MadorranInstitute of Anatomy, Histology and Embryology, Faculty of Medicine, University of Maribor, Maribor, Slovenia; Department of Pharmacology, Faculty of Medicine, University of Maribor, Maribor, Slovenia.
Andraž StožerInstitute of Physiology, Faculty of Medicine, University of Maribor, Maribor, Slovenia.
Sebastjan BevcDepartment of Pharmacology, Faculty of Medicine, University of Maribor, Maribor, Slovenia; Department of Nephrology, Clinic for Internal Medicine, University Medical Center Maribor, Maribor, Slovenia.
Uroš MaverDepartment of Pharmacology, Faculty of Medicine, University of Maribor, Maribor, Slovenia; Institute of Biomedical Sciences, Faculty of Medicine, University of Maribor, Maribor, Slovenia.
University of Maribor · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Centers for Disease Control and Prevention (CDC) provides extensive data that indicate our need for drugs to maintain human population health. Despite the substantial availability of drugs on the market, many patients lack specific drugs. New drugs are required to tackle this issue. Moreover, we need more reliable models for testing drug toxicity, as too many drug approval failures occur with the current models. This article briefly describes various approaches of the currently used models for toxicity screening, to justify the selection of in vitro cell-based models. Cell-based toxicity models have the best potential to reliably predict drug toxicity in humans, as they are developed using the cells of the target organism. However, currently, a large gap exists between in vitro cell-based approach to toxicity testing and the clinical approach, which may be contributing to drug approval failures. We propose improvements to in vitro cell-based toxicity models, which is often an insight approach, to better match this approach with the clinical homeostatic approach. This should enable a more accurate comparison of data between the preclinical as well as clinical models and provide a more comprehensive understanding of human physiology and biological effects of drugs.

Indexed as

Biomedical ResearchDrug Evaluation, PreclinicalCell Culture TechniquesDrug-Related Side Effects and Adverse ReactionsHumansToxicity Tests

Identifiers

PMID31621554
PMCPMC7202182
OpenAlexW2980351756

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.