Evidence map›Paper›PMID 40596597›Full record

ArticleScientific reports2025

Construction of a preliminary digital parasite specimen database for parasitology education and research.

Toru Kanahashi, Minoru Yamada, Kentaro Ibuki, Tetsuya Takakuwa

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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.

Toru KanahashiHuman Health Science, Graduate School of Medicine, Kyoto University, Kyoto, 606-8507, Japan. kanahashi.toru.7e@kyoto-u.ac.jp.
Minoru YamadaDepartment of Infectious Diseases, Kyoto Prefectural University of Medicine, Kyoto, 602-8566, Japan.
Kentaro IbukiHuman Health Science, Graduate School of Medicine, Kyoto University, Kyoto, 606-8507, Japan.
Tetsuya TakakuwaHuman Health Science, Graduate School of Medicine, Kyoto University, Kyoto, 606-8507, Japan.

Funding

Japan National University Health Sciences Council Trial Project to Support the Revitalization of Education and Research in National University Health Sciences
6 · The paper itself

Abstract

Despite advances in non-morphology-based parasite diagnostic techniques, traditional microscopy-based morphologic analysis remains essential for diagnosing parasitic infections. Therefore, parasite morphology is a crucial aspect of pre-graduate medical education. However, parasite specimen acquisition in developed countries is challenging because of the low rate of parasitic infections owing to improved sanitation. Hence, we acquired 50 slide specimens (parasite eggs, adults, and arthropods) from the Kyoto University and Kyoto Prefectural University of Medicine and created virtual slide data. All specimens ranging from parasitic eggs, adult worms, ticks and insects (typically observed under low magnification) to malarial parasites (typically observed under high magnification) were scanned successfully. These virtual slides were compiled into a digital database with folders organized by taxon. Explanatory notes in English and Japanese were attached to each specimen to facilitate learning. The data were uploaded to a shared server for institutions to facilitate practical training and research. The shared server enables approximately 100 individuals to access the data simultaneously. This database is expected to serve as an important resource for education and research in parasite morphology as additional parasitic slides and information are added in the future, contributing to the development of international parasitology education and future research.

Indexed as

Databases, FactualParasitesParasitic DiseasesParasitologyAnimalsHumansMicroscopyDatabaseParasiteParasitologyPre-graduate medical educationVirtual slide

Identifiers

PMID40596597
PMCPMC12215916

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Registered trials

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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.