Evidence map›Paper›PMID 34286172›Full record

ReviewAPL bioengineering2021

Liver-Heart on chip models for drug safety.

Erika Ferrari, Marco Rasponi

Abstract readReview
In one paragraph

Review in APL bioengineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Article
  3. Artificial Intelligence Across the Drug Development Lifecycle.Medical sciences (Basel, Switzerland) · 2026
    Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Emerging Landscape ofACS pharmacology & translational science · 2024
    Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Review
  15. Review
  16. Review
  17. Review
  18. Bioengineering of the liver.APL bioengineering · 2022
    Article
  19. 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

2 authors.

Erika FerrariDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milano, Italy.ORCID https://orcid.org/0000-0003-3863-0596
Marco RasponiDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milano, Italy.ORCID https://orcid.org/0000-0002-2904-8652

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current pre-clinical models to evaluate drug safety during the drug development process (DDP) mainly rely on traditional two-dimensional cell cultures, considered too simplistic and often ineffective, or animal experimentations, which are costly, time-consuming, and not truly representative of human responses. Their clinical translation thus remains limited, eventually causing attrition and leading to high rates of failure during clinical trials. These drawbacks can be overcome by the recently developed Organs-on-Chip (OoC) technology. OoC are sophisticated

Identifiers

PMID34286172
PMCPMC8282347

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.