Evidence map›Paper›PMID 40595280›Full record

ArticleScientific reports2025

A smartphone application as a promising tool for large-scale collection of participant data on fertility treatment.

Ryo Yokomizo, Tsuguhiko Kato, Kevin Y Urayama, Akari Nakamura, Makoto Sato, Risa Nasu, Maaya Hine, Hiroshi Kishi, Haruhiko Sago, Aikou Okamoto and 1 more

Abstract read
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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. 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

11 authors.

Ryo YokomizoCenter for Regenerative Medicine, National Center for Child Health and Development Research Institute, 2-10-1 Okura, Setagaya-ku, Tokyo, 157-8535, Japan.
Tsuguhiko KatoDepartment of Social Medicine, National Center for Child Health and Development, 2-10-1 Okura, Setagaya-ku, Tokyo, 157-8535, Japan.
Kevin Y UrayamaDepartment of Social Medicine, National Center for Child Health and Development, 2-10-1 Okura, Setagaya-ku, Tokyo, 157-8535, Japan.
Akari NakamuraDepartment of Healthcare Business, MTI Ltd, 3-20-2 Nishishinjuku, Shinjuku-ku, Tokyo, 163- 1435, Japan.
Makoto SatoDepartment of Healthcare Business, MTI Ltd, 3-20-2 Nishishinjuku, Shinjuku-ku, Tokyo, 163- 1435, Japan.
Risa NasuDepartment of Healthcare Business, MTI Ltd, 3-20-2 Nishishinjuku, Shinjuku-ku, Tokyo, 163- 1435, Japan.
Maaya HineDepartment of Healthcare Business, MTI Ltd, 3-20-2 Nishishinjuku, Shinjuku-ku, Tokyo, 163- 1435, Japan.
Hiroshi KishiDepartment of Obstetrics and Gynecology, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
Haruhiko SagoCenter for Maternal-Fetal, Neonatal and Reproductive Medicine, National Center for Child Health and Development, 2-10-1 Okura, Setagaya-ku, Tokyo, 157-8535, Japan.
Aikou OkamotoDepartment of Obstetrics and Gynecology, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
Akihiro UmezawaCenter for Regenerative Medicine, National Center for Child Health and Development Research Institute, 2-10-1 Okura, Setagaya-ku, Tokyo, 157-8535, Japan. au@keio.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Japan, there is a registry for fertility treatment (the JSOG registry), which is a system that only registers select clinical data related to assisted reproductive technology (ART). This system does not include patient-derived data, so innovative tools that can complement the shortcomings of the existing registry may be useful. In this study we explored the potential of using a smartphone application platform to collect clinical data from patients directly. We recruited participants using the smartphone application “Luna Luna” and requested information that is typically gathered during a medical checkup, including basic physical characteristics, medical history, and results of fertility examinations such as hormone levels and semen analysis. We also asked the participants about the most recent fertility treatment they received and the details of the treatment. We recruited more than 13,000 participants within Japan nationwide in one month, and successfully collected information that is necessary in clinical practice for fertility treatment. Furthermore, through the participants, we were able to obtain information concerning their partners. We gained an expanded understanding of the circumstances surrounding fertility tests performed in Japan and details of fertility treatment such as ovarian stimulation and pregnancy outcomes by each fertility treatment method. This smartphone application has the potential as a promising tool for doctors and couples for information management during fertility treatment.

Indexed as

InfertilityMobile ApplicationsReproductive Techniques, AssistedSmartphoneAdultFemaleFertilityHumansJapanMalePregnancyRegistriesFertility treatmentInfertilityReproductive medicineSmartphone applicationVirtual surveillance

Identifiers

PMID40595280
PMCPMC12219672

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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.