Evidence map›Paper›PMID 34057564›Full record

ReviewAbdominal radiology (New York)2021

Uterine leiomyomas revisited with review of literature.

Rishi Philip Mathew, Swati Francis, Vinayak Jayaram, Shameema Anvarsadath

Abstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Isolated Perihepatic Peritoneal Leiomyoma: A Case Report.Journal of the Korean Society of Radiology · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. 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

4 authors at 2 institutions in 1 country.

Rishi Philip MathewDepartment of Radiology, Rajagiri Hospital, Chunangamvely, Aluva, Kochi, Kerala, India. dr_rishimathew@yahoo.com.ORCID http://orcid.org/0000-0002-1726-7540
Swati FrancisDepartment of Obstetrics & Gynaecology, Aster Medcity, Cheranelloor, Kochi, Kerala, India.ORCID http://orcid.org/0000-0002-5933-7746
Vinayak JayaramDepartment of Radiology, Rajagiri Hospital, Chunangamvely, Aluva, Kochi, Kerala, India.ORCID http://orcid.org/0000-0001-8613-5851
Shameema AnvarsadathDepartment of Obstetrics & Gynaecology, Aster Medcity, Cheranelloor, Kochi, Kerala, India.ORCID http://orcid.org/0000-0003-3996-2023
Aster Medcity · INRajagiri Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uterine leiomyomas, more commonly known as fibroids, are the most common neoplasms of the uterus. These tumors have a profound effect on health care and cost worldwide. Depending on the race, uterine leiomyomas can be seen in 70-80% of all women. Although majority of the women with uterine leiomyomas remain asymptomatic, approximately 30% can present with symptoms. Diagnosing typical leiomyomas on imaging is straightforward. However, when large, located extrauterine and especially with degeneration, the diagnosis can be challenging on imaging. In this article, apart from reviewing the demographics and management of patients with leiomyomas, we describe in detail the imaging appearance of various atypical leiomyomas, uncommon locations outside the uterus and their important differential diagnosis that can have a profound effect on patient management.

Indexed as

LeiomyomaUterine NeoplasmsFemaleHumansFibroidFibroidsFibroid tumorFibromyomaLeiomyomasUterine leiomyoma

Identifiers

PMID34057564
OpenAlexW3164626375

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.