Evidence map›Paper›PMID 33680275›Full record

ArticleRadiology case reports2021

High-grade appendiceal mucinous neoplasm presenting as a giant appendiceal mucocele.

Alan Lu, Junsang Cho, Maryna Vazmitzel, Lester Layfield, Kevin Staveley-O'Carroll, Ayman Gaballah, Deepthi Rao

Erratum issuedOpen access · goldAbstract readCase Reports
In one paragraph

Article in Radiology case reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-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

7 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Alan LuUniversity of Missouri - Columbia School of Medicine, Columbia, MO.
Junsang ChoUniversity of Missouri - Columbia School of Medicine, Columbia, MO.
Maryna VazmitzelDepartment of Pathology, University of Missouri Health Care, Columbia, MO, USA 65212.
Lester LayfieldDepartment of Pathology, University of Missouri Health Care, Columbia, MO, USA 65212.
Kevin Staveley-O'CarrollDepartment of Surgery, University of Missouri Health Care, Columbia, MO.
Ayman GaballahDepartment of Radiology, University of Missouri Health Care, Columbia, MO.
Deepthi RaoDepartment of Pathology, University of Missouri Health Care, Columbia, MO, USA 65212.
University of Missouri Health System · USUniversity of Missouri · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Appendiceal mucinous neoplasms are rare findings defined by an accumulation of mucus within the vermiform appendix, and can be caused by a variety of conditions. Appendiceal mucinous neoplasms are important to consider because they can develop into pseudomyxoma peritonei as a consequence of perforation. We report a case of a 55-year-old man who initially presented with increasing abdominal girth, constipation, anorexia, and unintentional weight loss. Computed tomography examination of the abdomen and pelvis demonstrated a huge thin-walled cystic mass causing significant displacement of the surrounding abdominal and pelvic structures. The mass was amenable to resection and removed without perforation. Gross pathologic examination demonstrated a 44.0 × 40.0 × 23.0 cm unilocular cystic mass with a section of attached bowel. Microscopic examination revealed high-grade appendiceal mucinous neoplasm arising in a background of low-grade appendiceal mucinous neoplasm. This case report provides an evidence to include appendiceal mucinous neoplasms in the differential diagnosis of large abdominal cystic masses.

Indexed as

Appendiceal mucinous neoplasmAppendiceal mucoceleHigh gradeLow gradePseudomyxoma peritonei

Identifiers

PMID33680275
PMCPMC7917446
OpenAlexW3135327243

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.