Evidence map›Paper›PMID 36311935›Full record

ArticleFrontiers in surgery2022

Factors influencing treatment decisions in HIFU treatment of adenomyosis: A retrospective study.

Qiao Zhong, Mei-Jie Yang, Yan Hu, Li Jiang, Jing-Wen Yu, Jin-Yun Chen, Wen-Zhi Chen

Abstract read
In one paragraph

Article in Frontiers in surgery, 2022. 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. Article
  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.

Qiao ZhongState Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China.
Mei-Jie YangState Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China.
Yan HuState Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China.
Li JiangState Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China.
Jing-Wen YuState Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China.
Jin-Yun ChenState Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China.
Wen-Zhi ChenState Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the influencing factors of decision-making in patients with adenomyosis, who are receiving high-intensity focused ultrasound (HIFU) treatment. Methods: A total of 776 patients with adenomyosis were enrolled into HIFU group (241 cases) and hysterectomy group (535 cases) according to the treatment methods. The general data, clinical symptoms, marital and childbearing history, and economic status were compared between the two groups, and factors with Results: The average age of the patients in the HIFU group was 39.1 ± 5.2 years, which was lower than that in the hysterectomy group, which was 45.1 ± 3.9 years ( Conclusion: 31-40 years old, fertility desire, dysmenorrhea, menorrhagia, anemia and dizziness and fatigue were the influencing factors for patients to choose HIFU treatment. HIFU therapy has emerged as a new option for patients with adenomyosis as an alternative to hysterectomy.

Indexed as

adenomyosisdecision-makingdysmenorrheaHIFUmenorrhagia

Identifiers

PMID36311935
PMCPMC9597082

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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.