Evidence map›Paper›PMID 38584971›Full record

ReviewJournal of toxicologic pathology2024

Drug review process advancement and required manufacturer and contract research oraganization responses.

Takayuki Anzai, Glenn J Myatt, Frances Hall, Brenda Finney, Kenshi Nakagawa, Hijiri Iwata, Reo Anzai, Anne Dickinson, Matthew Freer, Dai Nakae and 2 more

Abstract readReview
In one paragraph

Review in Journal of toxicologic pathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Takayuki AnzaiShowa University School of Medicine, 1-5-8 Hatanodai, Shinagawa, Tokyo 142-0064, Japan.
Glenn J MyattInstem, Diamond Way, Stone Business Park, Stone, Staffordshire, ST150SD, United Kingdom.
Frances HallInstem, Diamond Way, Stone Business Park, Stone, Staffordshire, ST150SD, United Kingdom.
Brenda FinneyInstem, Diamond Way, Stone Business Park, Stone, Staffordshire, ST150SD, United Kingdom.
Kenshi NakagawaShowa University School of Medicine, 1-5-8 Hatanodai, Shinagawa, Tokyo 142-0064, Japan.
Hijiri IwataLunaPath Laboratory of Toxicologic Pathology, 3-5-1 Aoihigashi, Naka-ku Hamamatsu-shi, Shizuoka 433-8114, Japan.
Reo AnzaiTokyo University of the Arts, 5000 Omonma, Toride-shi, Ibaraki 302-0001, Japan.
Anne DickinsonNewcastle University, Newcastle upon Tyne, NE1 7RU, United Kingdom.
Matthew FreerAlcyomics, The Biosphere, Draymans Way, Newcastle upon Tyne NE4 5BX, United Kingdom.
Dai NakaeTeikyo Heisei University, 4-1 Uruido-Minami, Ichihara-shi, Chiba 290-0193, Japan.
Hiroshi OnoderaNational Institute of Health Sciences, 3-25-26 Tono-machi, Kawasaki-shi, Kanagawa 210-9501, Japan.
Takaaki MatsuyamaShowa University School of Medicine, 1-5-8 Hatanodai, Shinagawa, Tokyo 142-0064, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The United States Senate passed the "FDA Modernization Act 2.0." on September 29, 2022. Although the effectiveness of this Bill, which aims to eliminate the mandatory use of laboratory animals in new drug development, is limited, it represents a significant trend that will change the shape of drug applications in the United States and other countries. However, pharmaceutical companies have not taken major steps towards the complete elimination of animal testing from the standpoint of product safety, where they prioritize patient safety. Nonetheless, society is becoming increasingly opposed to animal testing, and efforts will be made to use fewer animals and conduct fewer animal tests as a natural and reasonable response. These changes eventually alter the shape of new drug applications. Based on the assumption that fewer animal tests will be conducted or fewer animals will be used in testing, this study explored bioinformatics and new technologies as alternatives to compensate for reduced information and provide a picture of how future new drug applications may look. The authors also discuss the directions that pharmaceutical companies and nonclinical contract research organizations should adopt to promote the replacement, reduction, and refinement of animals used in research, teaching, testing, and exhibitions.

Indexed as

artificial intelligence program for toxicologyglobal standard exchange of nonclinical datainvestigational new drugtarget safety assessmentweight of evidence

Identifiers

PMID38584971
PMCPMC10995435

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.