Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 540

The DOI matches its Crossref record.

Uterine Myomas: An Overview of Development, Clinical Features, and Management

Wallach, Edward E., Vlahos, Nikos F.·2004·Obstetrics & Gynecology

Abstract

In Brief OBJECTIVE: To review the biology and the pathophysiology of uterine myomas, focus on options for management, and emphasize principles that will render the decision-making process as logical as possible. DESIGN: Literature review and synthesis of the authors’ experience and philosophy. RESULTS: Uterine myomas are the most common solid pelvic tumors in women. There is increasing evidence that they have a genetic basis and that their growth is related to genetic predisposition, hormonal influences, and various growth factors. Treatment choices are wide and include pharmacologic, surgical, and radiographically directed intervention. Most myomas can be followed serially with surveillance for development of symptoms or progressive growth. CONCLUSION: The past century has witnessed development of highly sophisticated diagnostic and therapeutic technology for myomas. The tools currently at our disposal permit greater management flexibility with safe options, which must be tailored to the individual clinical situation. The past century has witnessed development of highly sophisticated diagnostic and therapeutic technology for leiomyomata; current tools permit greater management flexibility with safe options that must be tailored to each individual clinical situation.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1097/01.aog.0000136079.62513.39

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 540

Metadata

Authors
Wallach, E. E., & Vlahos, N. F.
Venue
Obstetrics & Gynecology
Published
2004-08
Volume
104
Issue
2
Pages
393-406
ISSN
0029-7844 (ISSN-L)
OpenAlex
W2054288703
Cited by
540
References
0
FWCI
19.43
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Uterine Myomas: An Overview of Development, Clinical Features, and Management. https://app.cochat.ai/papers/10.1097/01.aog.0000136079.62513.39
The paper
Wallach, E. E., & Vlahos, N. F. (2004). Uterine Myomas: An Overview of Development, Clinical Features, and Management. Obstetrics & Gynecology. https://doi.org/10.1097/01.aog.0000136079.62513.39

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.