Evidence map›Paper›PMID 37809132›Full record

ReviewCureus2023

High-Intensity Focused Ultrasound Ablation of Uterine Fibroids: A Review.

Nainita Patel, Kamlesh Chaudhari, Dharmesh Patel, Jalormy Joshi

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Establishment of a Predictive Model for the Efficacy of High-Intensity Focused Ultrasound in the Treatment of Uterine Fibroids.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2025
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  2. Review
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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

4 authors at 1 institution in 1 country.

Nainita PatelObstetrics and Gynaecology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Kamlesh ChaudhariObstetrics and Gynaecology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Dharmesh PatelObstetrics and Gynaecology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Jalormy JoshiObstetrics and Gynaecology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Jawaharlal Nehru Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leiomyomas, or uterine fibroids, are growths consisting of muscle and tissue that develop in or on the uterine wall. The most frequent benign uterine tumours in women of reproductive age are thought to be fibroids. Dysmenorrhea, spotting, hypermenorrhoea, abdominal pain, pressure on surrounding organs, and issues with micturition and defecation are among the symptoms that are often present. Fibroids can form as a single nodule or as a cluster. Uterine fibroids, especially large submucosal and intramural uterine fibroids, can cause obstacles to implantation and lead to pregnancy loss. Uterine fibroids can be treated without surgery and with little downtime using focused ultrasound. There is published research showing that women can conceive and have healthy children after therapy, thus protecting fertility. The ablation of uterine fibroids by high-intensity focused ultrasound (HIFU) is successful since the volume of the fibroids is significantly reduced.

Indexed as

fertility sparing treatmentfibroidpremenopausal agethermal ablationultrasound

Identifiers

PMID37809132
PMCPMC10550780
OpenAlexW4386425300

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.