Evidence map›Paper›PMID 39523011›Full record

ArticleThe Journal of reproduction and development2024

Serum concentrations of anti-Müllerian hormone modulate ovarian response to different doses of follicle-stimulating hormone in Japanese Black donors.

Hiroaki Okawa, Norihiro Yukiyama, Oky Setyo Widodo, Kanae Niimi, Yuta Chuman, Yasuo Fushimi, Mitsuhiro Takagi

Abstract read
In one paragraph

Article in The Journal of reproduction and development, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Hiroaki OkawaGuardian Co., Ltd., Kagoshima 890-0033, Japan.
Norihiro YukiyamaGuardian Co., Ltd., Kagoshima 890-0033, Japan.
Oky Setyo WidodoJoint Faculty of Veterinary Medicine, Yamaguchi University, Yamaguchi 753-8515, Japan.
Kanae NiimiNangoku Farm Co., Ltd., Kagoshima 899-4332, Japan.
Yuta ChumanNangoku Farm Co., Ltd., Kagoshima 899-4332, Japan.
Yasuo FushimiGuardian Co., Ltd., Kagoshima 890-0033, Japan.
Mitsuhiro TakagiJoint Faculty of Veterinary Medicine, Yamaguchi University, Yamaguchi 753-8515, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anti-Müllerian hormone (AMH) is a marker for predicting embryo production in cows subjected to superovulation; however, it remains to be established as a reliable predictor of reproductive performance. We hypothesized that the serum AMH concentration of donors affects the ovarian response to follicle-stimulating hormone (FSH) treatment during superovulation. Herein, we retrospectively investigated the association between different FSH doses and AMH concentrations in donor Japanese Black cows in a superovulation program and analyzed the number of total and transferable embryos recovered. The number of transferable embryos recovered from donors with high AMH levels was significantly higher than that recovered from donors with low AMH levels. Additionally, it increased further with a reduction in the FSH dose. These results illustrate that the AMH concentration is a useful marker for predicting embryo production after superovulation, and donors with high AMH levels produce more transferable embryos at low FSH doses than at high doses.

Indexed as

Anti-Mullerian HormoneFollicle Stimulating HormoneOvarySuperovulationAnimalsCattleEmbryo TransferFemaleFertilization in VitroOvulation InductionPregnancyRetrospective StudiesAnti-Mullerian HormoneFollicle Stimulating HormoneAnti-Müllerian hormoneEmbryo productionFollicle-stimulating hormone doseJapanese Black cattleOvarian response

Identifiers

PMID39523011
PMCPMC11658917

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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.