Evidence map›Paper›PMID 35601390›Full record

ArticleRadiology case reports2022

A large congenital pancreatic cyst mimicking a macrocytic lymphatic malformation.

Aida K Sarcon, Kelly K Horst, Emily C Bendel, Stephanie F Polites

Open access · goldAbstract readCase Reports
In one paragraph

Article in Radiology case reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Aida K SarconMayo Clinic, Department of Surgery, 200 1st St SW, Rochester, MN 55905, USA.
Kelly K HorstMayo Clinic, Department of Radiology, 200 1st St SW, Rochester, MN 55905, USA.
Emily C BendelMayo Clinic, Department of Radiology, 200 1st St SW, Rochester, MN 55905, USA.
Stephanie F PolitesMayo Clinic, Division of Pediatric Surgery, 200 1st St SW, Rochester, MN 55905, USA.
Mayo Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Congenital pancreatic cysts (CPCs) are rare developmental anomalies that arise in-utero from the pancreas. They are exceedingly rare in the literature, and most are discovered postnatally. Prenatal diagnosis is uncommon with only 21 published reports of prenatally diagnosed CPCs in the literature. CPCs may form unilocular or multilocular macrocysts which can distort normal anatomy. There is considerable overlap of imaging features with other macrocystic lesions of the neonatal abdomen. Ultrasound-guided biopsy and analysis of cyst aspirate for pancreatic enzymes may assist with obtaining an accurate preoperative diagnosis. We report a case of a 37-week gestational age female infant born with a known prenatal 9.5 cm macrocystic intrabdominal mass. An intrabdominal lymphatic malformation was initially diagnosed based on clinical and imaging features. Since conservative therapy with with cyst drainage and serial sclerotherapy was not effective, an ultrasound-guided biopsy was performed to rule out malignancy. Pancreatic tissue was identified on pathology. An exploratory laparotomy and total cystectomy was performed which confirmed the diagnosis of congenital pancreatic cyst originating from the pancreatic tail. This case highlights the diagnostic challenge of congenital pancreatic cysts and the importance of a multimodal and multidisciplinary diagnostic approach.

Indexed as

CongenitalImagingLymphatic malformationPancreasPancreatic cystsPrenatal

Identifiers

PMID35601390
PMCPMC9117870
OpenAlexW4280494528

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.