Evidence map›Paper›PMID 36534230›Full record

ArticleJournal of assisted reproduction and genetics2023

Therapeutic intervention based on gene sequencing analysis of microbial 16S ribosomal RNA of the intrauterine microbiome improves pregnancy outcomes in IVF patients: a prospective cohort study.

Nanako Iwami, Miho Kawamata, Naoko Ozawa, Takahiro Yamamoto, Eri Watanabe, Masahito Mizuuchi, Osamu Moriwaka, Hirobumi Kamiya

Open access · greenAbstract read
In one paragraph

Article in Journal of assisted reproduction and genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 12% of its field
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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

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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

8 authors at 2 institutions in 2 countries.

Nanako IwamiDepartment of Reproductive Health, Iryo Hojin Shadan Kamiya Ladies Clinic, Nittsu Bldg 2nd floor 2-1, Nishi 2-Chome, Kita 3-Jo, Chuo-Ku, Sapporo, Hokkaido, 060-0003, Japan. nanakoiwami@gmail.com.ORCID http://orcid.org/0000-0001-7262-7791
Miho KawamataDepartment of Reproductive Health, Iryo Hojin Shadan Kamiya Ladies Clinic, Nittsu Bldg 2nd floor 2-1, Nishi 2-Chome, Kita 3-Jo, Chuo-Ku, Sapporo, Hokkaido, 060-0003, Japan.
Naoko OzawaDepartment of Reproductive Health, Iryo Hojin Shadan Kamiya Ladies Clinic, Nittsu Bldg 2nd floor 2-1, Nishi 2-Chome, Kita 3-Jo, Chuo-Ku, Sapporo, Hokkaido, 060-0003, Japan.
Takahiro YamamotoDepartment of Reproductive Health, Iryo Hojin Shadan Kamiya Ladies Clinic, Nittsu Bldg 2nd floor 2-1, Nishi 2-Chome, Kita 3-Jo, Chuo-Ku, Sapporo, Hokkaido, 060-0003, Japan.
Eri WatanabeDepartment of Reproductive Health, Iryo Hojin Shadan Kamiya Ladies Clinic, Nittsu Bldg 2nd floor 2-1, Nishi 2-Chome, Kita 3-Jo, Chuo-Ku, Sapporo, Hokkaido, 060-0003, Japan.
Masahito MizuuchiDepartment of Reproductive Health, Iryo Hojin Shadan Kamiya Ladies Clinic, Nittsu Bldg 2nd floor 2-1, Nishi 2-Chome, Kita 3-Jo, Chuo-Ku, Sapporo, Hokkaido, 060-0003, Japan.
Osamu MoriwakaDepartment of Reproductive Health, Iryo Hojin Shadan Kamiya Ladies Clinic, Nittsu Bldg 2nd floor 2-1, Nishi 2-Chome, Kita 3-Jo, Chuo-Ku, Sapporo, Hokkaido, 060-0003, Japan.
Hirobumi KamiyaDepartment of Reproductive Health, Iryo Hojin Shadan Kamiya Ladies Clinic, Nittsu Bldg 2nd floor 2-1, Nishi 2-Chome, Kita 3-Jo, Chuo-Ku, Sapporo, Hokkaido, 060-0003, Japan.
Hokkaido Institute of Public Health · JPWomen’s Health Care · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeA Lactobacillus-dominated microbiota in the endometrium was reported to be associated with favorable reproductive outcomes. We investigated in this study whether 16S ribosomal RNA (rRNA) gene sequencing analysis of the uterine microbiome improves pregnancy outcomes.

methodsThis prospective cohort study recruited a total of 195 women with recurrent implantation failure (RIF) between March 2019 and April 2021 in our fertility center. Analysis of the endometrial microbiota by 16S rRNA gene sequencing was suggested for all patients who had three or more failed embryo transfers (ETs). One hundred and thirty-one patients underwent microbial 16S rRNA gene sequencing (study group) before additional transfers, while 64 patients proceeded to ET without that analysis (control group). The primary outcome was to compare the cumulative clinical pregnancy rate of two additional ETs. MAIN

resultsAn endometrial microbiota considered abnormal was detected in 30 patients (22.9%). All but one of these 30 patients received antibiotics according to the bacterial genus detected in their sample, followed by treatment with probiotics. As a result, the cumulative clinical pregnancy rate (study group: 64.5% vs. control group: 33.3%, p = 0.005) and the ongoing pregnancy rate (study group: 48.9% vs. control group: 32.8%, p = 0.028) were significantly increased in the study group compared to the control group.

conclusionPersonalized treatment recommendations based on the microbial 16S rRNA gene sequencing of the uterine microbiota can improve IVF outcomes of patients with RIF.

trial registrationThe University Hospital Medical Information Network (UMIN) Clinical Trial Registry: UMIN000036050 (date of registration: March 1, 2019).

Indexed as

Fertilization in VitroMicrobiotaPregnancy OutcomeRNA, Ribosomal, 16SEndometriumFemaleHumansPregnancyProspective StudiesRNA, Ribosomal, 16S16S ribosomal RNAChronic endometritisEndometrial microbiotaLactobacillus spp.Recurrent implantation failure

Identifiers

PMID36534230
PMCPMC9840729
OpenAlexW4311928122

What OpenQuestion holds

Textmetadata
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.