Evidence map›Paper›PMID 37416108›Full record

ArticleGynecology and minimally invasive therapy

Segmentation of

Pei-Hsiu Yu, Yu-Hsien Wu, Ta-Sheng Chen, Tsung-Cheng Kuo, Meng-Hsing Wu

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Gynecology and minimally invasive therapy. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 7 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

5 authors at 2 institutions in 1 country.

Pei-Hsiu YuDepartment of Obstetrics and Gynecology, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, Taiwan.
Yu-Hsien WuDepartment of Obstetrics and Gynecology, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, Taiwan.
Ta-Sheng ChenDepartment of Obstetrics and Gynecology, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, Taiwan.
Tsung-Cheng KuoDepartment of Obstetrics and Gynecology, Kuo General Hospital, Tainan, Taiwan.
Meng-Hsing WuDepartment of Obstetrics and Gynecology, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, Taiwan.
National Cheng Kung University Hospital · TWKuo General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adenomyosis is a complex issue in reproductive-age women not only on worsening of quality of life due to severe dysmenorrhea or heavy menstrual bleeding but also on the impact of infertility. A 39-year-old female, gravida 0 para 0, with a history of bilateral ovarian endometrioma post laparoscopic surgery presented to our hospital due to suspected deep infiltrative endometriosis (DIE), adenomyosis, and repeated implantation failure. Initially, gonadotropin-releasing hormone analog treatment for DIE with progestin-primed ovarian stimulation protocol was arranged. Four D5 blastocysts were obtained and freezed. Two frozen embryo transfer were performed after ultrasound-guided high-intensity focused ultrasound (USgHIFU) treatment of adenomyosis. She later had a dichorionic diamniotic twin pregnancy, and two healthy newborns were delivered by Cesarean section at gestational age of 35 weeks due to antepartum hemorrhage with placenta previa and preeclampsia. In conclusion, USgHIFU can be a potential treatment option in segmented

Indexed as

Adenomyosisin vitro fertilizationsegmentationultrasound-guided high-intensity focused ultrasound

Identifiers

PMID37416108
PMCPMC10321343
OpenAlexW4381930932

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.