Evidence map›Paper›PMID 42488407›Full record

ArticleReproductive medicine and biology

Personalized Embryo Transfer Improves Live Birth Rates in Recurrent Implantation Failure: A Propensity Score-Matched Prospective Cohort Study With Window of Implantation Stability Analysis.

Yasuhiro Ohara, Kurumi Abe, Saki Saito, Aya Karino, Masakazu Doshida, Takumi Takeuchi, Hidehiko Matsubayashi, Tomomoto Ishikawa, Mika Handa, Tsuyoshi Takiuchi and 1 more

Abstract read
In one paragraph

Article in Reproductive medicine and biology. 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.

Yasuhiro OharaDepartment of Reproductive Medicine Reproduction Clinic Osaka Osaka Japan.ORCID https://orcid.org/0000-0001-7763-3576
Kurumi AbeDepartment of Reproductive Medicine Reproduction Clinic Tokyo Tokyo Japan.
Saki SaitoDepartment of Reproductive Medicine Reproduction Clinic Tokyo Tokyo Japan.
Aya KarinoDepartment of Reproductive Medicine Reproduction Clinic Tokyo Tokyo Japan.ORCID https://orcid.org/0000-0002-3876-8352
Masakazu DoshidaDepartment of Reproductive Medicine Reproduction Clinic Tokyo Tokyo Japan.
Takumi TakeuchiDepartment of Reproductive Medicine Reproduction Clinic Tokyo Tokyo Japan.
Hidehiko MatsubayashiDepartment of Reproductive Medicine Reproduction Clinic Osaka Osaka Japan.
Tomomoto IshikawaDepartment of Reproductive Medicine Reproduction Clinic Osaka Osaka Japan.
Mika HandaDepartment of Obstetrics and Gynecology, Graduate School of Medicine Osaka University Suita city Osaka Japan.ORCID https://orcid.org/0009-0009-7038-2132
Tsuyoshi TakiuchiDepartment of Clinical Genomics, Graduate School of Medicine Osaka University Suita city Osaka Japan.ORCID https://orcid.org/0000-0002-0605-5219
Michiko KodamaDepartment of Obstetrics and Gynecology, Graduate School of Medicine Osaka University Suita city Osaka Japan.ORCID https://orcid.org/0000-0003-4046-7572

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To evaluate the clinical efficacy of ERPeak Methods: This prospective cohort study included patients undergoing frozen embryo transfer (FET) with good-quality embryos. In hormone replacement therapy (HRT) cycles, RIF patients received pET ( Results: Following PSM in RIF patients, pET significantly improved live birth rates (LBR) compared to npET (41.0% vs. 23.6%, Conclusions: ERPeak

Indexed as

endometrial receptivity testpersonalized embryo transferreal‐time quantitative polymerase chain reactionrecurrent implantation failurewindow of implantation stability

Identifiers

PMID42488407
PMCPMC13389642

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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.