Evidence map›Paper›PMID 32425346›Full record

ArticleJournal of toxicologic pathology2020

Current status of pathological image analysis technology in pharmaceutical companies: a questionnaire survey of the Japan Pharmaceutical Manufacturers Association.

Tsuyoshi Yoshikawa, Yasushi Horai, Yoshiji Asaoka, Takanobu Sakurai, Satomi Kikuchi, Makiko Yamaoka, Masaharu Tanaka

Abstract read
In one paragraph

Article in Journal of toxicologic pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Tsuyoshi YoshikawaJapan Pharmaceutical Manufacturers Association, R&D subcommittee, 2-3-22 Nihonbashi Honcho, Chuo-ku, Tokyo 103-0023, Japan.
Yasushi HoraiJapan Pharmaceutical Manufacturers Association, R&D subcommittee, 2-3-22 Nihonbashi Honcho, Chuo-ku, Tokyo 103-0023, Japan.
Yoshiji AsaokaJapan Pharmaceutical Manufacturers Association, R&D subcommittee, 2-3-22 Nihonbashi Honcho, Chuo-ku, Tokyo 103-0023, Japan.
Takanobu SakuraiJapan Pharmaceutical Manufacturers Association, R&D subcommittee, 2-3-22 Nihonbashi Honcho, Chuo-ku, Tokyo 103-0023, Japan.
Satomi KikuchiJapan Pharmaceutical Manufacturers Association, R&D subcommittee, 2-3-22 Nihonbashi Honcho, Chuo-ku, Tokyo 103-0023, Japan.
Makiko YamaokaJapan Pharmaceutical Manufacturers Association, R&D subcommittee, 2-3-22 Nihonbashi Honcho, Chuo-ku, Tokyo 103-0023, Japan.
Masaharu TanakaJapan Pharmaceutical Manufacturers Association, R&D subcommittee, 2-3-22 Nihonbashi Honcho, Chuo-ku, Tokyo 103-0023, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Japan Pharmaceutical Manufacturers Association (JPMA) has instituted a task force (TF) for the "development of image analysis technology for histopathological changes" as part of the collaboration for realizing cutting-edge drug development since 2016. In recent years, there has been progress in the digital pathology technology; however, few applications in nonclinical drug development studies have been observed. Therefore, TF performed a questionnaire survey to investigate the current status, needs, possibility, and development of image analysis. The subjects were 35 member companies of the JPMA. The questionnaire was set to assess the efficacy and/or safety of researchers engaged in pathological evaluations for each company. The questions focused on the experiences, implementation, and issues regarding histopathological examinations; the need for image analysis software; and future views. Valid responses were obtained from 26 companies. Most companies assumed that the beneficial aspect of image analysis is to gain objectivity and persuasiveness; however, challenges in the analysis conditions with regard to accuracy and without subjectivity persist. Additionally, there seems to be a need for image analysis software with advanced digital pathology technology, with most companies believing that, in the future, pathological evaluations will be partly performed by computers. In conclusion, in this questionnaire survey, TF extracted the current status of image analysis in nonclinical studies performed by pharmaceutical companies and collected opinions on future prospects regarding the development of image analysis software with advanced digital pathology technology.

Indexed as

digital pathology technologyimage analysispharmaceutical companyquestionnaire

Identifiers

PMID32425346
PMCPMC7218240

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.