Evidence map›Paper›PMID 37266473›Full record

ArticleMaedica2023

Role of MRI and FIGO Staging in Evaluation of Fibroids - A Pictorial Review.

Amit Shrivastava, Gunjan Jindal, Arun Kalpdev, Sanjay Sethi, Ekta Rastogi, Chahat Aggarwal, Kunal Tilak Amin, Aaftab Sethi

Abstract readEditorial
In one paragraph

Article in Maedica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Amit ShrivastavaDepartment of Vascular surgery, Fortis Hospital, Mohali, Punjab, India.
Gunjan JindalDepartment of Radiodiagnosis, MMIMSR, Mullana, Haryana, India.
Arun KalpdevDepartment of Obstetrics and Gynaecology, MMIMSR, Mullana, Haryana, India.
Sanjay SethiDepartment of Radiodiagnosis, MMIMSR, Mullana, Haryana, India.
Ekta RastogiDepartment of Radiodiagnosis, MMIMSR, Mullana, Haryana, India.
Chahat AggarwalDepartment of Radiodiagnosis, MMIMSR, Mullana, Haryana, India.
Kunal Tilak AminDepartment of Radiodiagnosis, MMIMSR, Mullana, Haryana, India.
Aaftab SethiGovernment Medical College, Patiala, Punjab, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uterine fibroids are the most common gynaecologic malignancy, but only 20% of women need treatment to relieve their symptoms. The management of fibroids has changed from open to laparoscopic hysterectomy, myomectomy and minimal invasive techniques such as uterine artery embolization and ablation. Magnetic resonance imaging (MRI) is considered the best modality in the diagnosis, characterization and number of fibroids as well as for accessing extrauterine relationships, associated diseases; it also helps in planning, choosing and prognosis of treatment options. Traditionally, uterine fibroids were classified according to their location as submucosal, intramural or subserosal. However, for minimally invasive techniques, the relation of the fibroid with the endometrium, the degree of fibroid extension in the myometrium and the pedunculated nature of the fibroid are required before the procedure. The FIGO classification system was created to describe and classify fibroid locations in a systematic and consistent manner with suitable communication to the referring doctor. We are providing an array of clinical symptoms, MRI images, and surgical approaches on the basis of FIGO classification and associated important points to diagnosis and clinical implications.

Identifiers

PMID37266473
PMCPMC10231166

What OpenQuestion holds

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Registered trials

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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.