Evidence map›Paper›PMID 37846247›Full record

ArticleCureus2023

Thyrolipoma: A Rare Presentation of the Thyroid Gland.

Ankita Gyanchandani, Samarth Shukla, Sunita Vagha, Sourya Acharaya, Rinkle Gemnani

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Ankita GyanchandaniDepartment of Pathology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Samarth ShuklaDepartment of Pathology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Sunita VaghaDepartment of Pathology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Sourya AcharayaDepartment of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Rinkle GemnaniDepartment of Medicine, 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

Thyrolipoma is a rare disorder marked by substantial adipose tissue growth inside the thyroid gland. Fatty tissue is frequently seen in salivary glands, thymus, breasts, and pancreas but rarely in the thyroid gland. The fascinating and unusual illness known as thyrolipoma presents challenging diagnostic and therapeutic issues. Due to the rarity of thyrolipoma, doctors must evaluate thyroid nodules with a high index of suspicion, especially those who are radiologically and clinically worrisome. We present a study of a 50-year-old female who came with the complaint of midline neck mass for one year. On clinical examination, a diagnosis of multinodular goiter was made. Computed tomography (CT) scan was suggestive of a heterogenous enhanced thyroid mass lesion. Thus, a total thyroidectomy was performed. On histopathological examination, a final diagnosis of thyrolipoma was made. The abstract aims to provide an overview of the clinical presentation, diagnosis, and treatment options of thyrolipoma, as well as highlight the importance of early recognition and appropriate management of this rare tumor.

Indexed as

adipose tissuegoitrelipoadenomaneck swellingthyroidectomythyrolipoma

Identifiers

PMID37846247
PMCPMC10576999
OpenAlexW4386765357

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.