Evidence map›Paper›PMID 40065148›Full record

ArticleScientific reports2025

Comparison of diagnostic tests for chronic endometritis and endometrial dysbiosis in recurrent implantation failure: Impact on pregnancy outcomes.

Daiki Hiratsuka, Mitsunori Matsuo, Kosuke Kashiwabara, Mariko Inoue, Chihiro Ishizawa, Rei Iida, Yamato Fukui, Shizu Aikawa, Takehiro Hiraoka, Miyuki Harada and 3 more

Abstract readComparative Study
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 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
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

13 authors.

Daiki HiratsukaDepartment of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.
Mitsunori MatsuoDepartment of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.
Kosuke KashiwabaraClinical Research Promotion Center, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.
Mariko InoueClinical Research Promotion Center, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.
Chihiro IshizawaDepartment of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.
Rei IidaDepartment of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.
Yamato FukuiDepartment of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.
Shizu AikawaDepartment of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.
Takehiro HiraokaDepartment of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.
Miyuki HaradaDepartment of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.
Osamu Wada-HiraikeDepartment of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.
Yutaka OsugaDepartment of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.
Yasushi HirotaDepartment of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan. hirotay-gyn@h.u-tokyo.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic endometritis (CE) and endometrial dysbiosis (ED) are major causes of recurrent implantation failure (RIF). CE is diagnosed via hysteroscopy or the endometrial CD138 test; ED is examined using endometrial microbiome testing with next-generation sequencing. ED is characterized by a reduction in Lactobacillus species. However, correlations between the results of the three tests and the efficacy of treatment against CE and ED in pregnancy outcomes remain unclear. We analyzed 73 patients with RIF who underwent all three tests (hysteroscopy, endometrial CD138 test, and endometrial microbiome test). Patients with CE received antibiotics, whereas those with ED received antibiotics and vaginal Lactobacillus probiotics. The incidences of CE diagnosed using hysteroscopy and the CD138 test were 56.2 and 49.3%, respectively, and the prevalence of ED was 53.4%. No correlations were observed among the test-positive individuals in these three tests. Among patients with ED, 88.9% had a post-treatment clinical pregnancy, a significantly higher rate than that in patients without ED (p = 0.021). Multivariate analysis demonstrated that ED was associated with clinical pregnancy (odds ratio (OR): 6.29, p = 0.031). In conclusion, the three tests detected different populations of patients with RIF. ED diagnosed using the endometrial microbiome test was associated with favorable pregnancy outcomes after testing.

Indexed as

Diagnostic Tests, RoutineDysbiosisEmbryo ImplantationEndometritisEndometriumAdultAnti-Bacterial AgentsChronic DiseaseFemaleHumansHysteroscopyInfertility, FemaleMicrobiotaPregnancyPregnancy OutcomeProbioticsAnti-Bacterial AgentsChronic endometritisEndometrial dysbiosisEndometrial microbiome testLactobacillusRecurrent implantation failure

Identifiers

PMID40065148
PMCPMC11893751

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LicenceCC BY-NC-ND
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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.