Evidence map›Paper›PMID 31672679›Full record

ArticleJournal of the American College of Surgeons2020

Abdominal Imaging of Pancreatic Cysts and Cyst-Associated Pancreatic Cancer in BRCA1/2 Mutation Carriers: A Retrospective Cross-Sectional Study.

Carrie X Cao, Jeremy M Sharib, Amie M Blanco, Dena Goldberg, Paige Bracci, Rita A Mukhtar, Laura J Esserman, Kimberly S Kirkwood

Open access · greenAbstract read
In one paragraph

Article in Journal of the American College of Surgeons, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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 at 2 institutions in 1 country.

Carrie X CaoDepartment of Surgery, University of California San Francisco, San Francisco, CA.
Jeremy M SharibDepartment of Surgery, University of California San Francisco, San Francisco, CA. Electronic address: Jeremy.Sharib@ucsf.edu.
Amie M BlancoUniversity of California San Francisco Cancer Genetics and Prevention Program, San Francisco, CA; University of California San Francisco Heller Diller Family Comprehensive Cancer Center, San Francisco, CA.
Dena GoldbergUniversity of California San Francisco Cancer Genetics and Prevention Program, San Francisco, CA.
Paige BracciDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA.
Rita A MukhtarDepartment of Surgery, University of California San Francisco, San Francisco, CA; University of California San Francisco Heller Diller Family Comprehensive Cancer Center, San Francisco, CA.
Laura J EssermanDepartment of Surgery, University of California San Francisco, San Francisco, CA; University of California San Francisco Heller Diller Family Comprehensive Cancer Center, San Francisco, CA.
Kimberly S KirkwoodDepartment of Surgery, University of California San Francisco, San Francisco, CA; University of California San Francisco Heller Diller Family Comprehensive Cancer Center, San Francisco, CA.
University of California, San Francisco · USUCSF Helen Diller Family Comprehensive Cancer Center · US

Funding

Elucidating the molecular and contextual basis for IDLE ultralow risk lesions and the tumor immune microenvironment of high risk in situ and invasive breast cancersU01CA196406 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BOROWSKY, ALEXANDER D, ESSERMAN, LAURA J · 2015 to 2020
$5.8M
NCI NIH HHS U01 CA196406
6 · The paper itself

Abstract

backgroundDirect-to-consumer BRCA testing will increase BRCA diagnoses and subsequent abdominal imaging. It is unclear whether BRCA carriers are at higher risk of developing pancreatic cysts (PCs) or cyst-associated pancreatic ductal adenocarcinoma (PDAC). We investigated the prevalence of PCs in BRCA-tested patients, and whether BRCA-carriers have higher rates of PDAC when PCs are found. STUDY

designThis is a retrospective cross-sectional study of patients with BRCA testing and abdominal imaging between 1996 and 2018. Pancreatic cysts were identified on original imaging reports. Prevalence and risk characteristics of PCs, as well as incidence of PDAC, were compared between BRCA+, BRCA-, and BRCA-untested patients.

resultsPancreatic cysts were identified in 4,045 patients among 128,164 unique patients with abdominal imaging, including 33 patients with PCs in 1,113 BRCA-tested patients. There was no difference in PC prevalence between BRCA+, BRCA-, and untested patients (3.6%, 2.6%, 3.2%, respectively; p = 0.64). Pancreatic cysts were diagnosed in BRCA+ patients at a younger age (57.1 vs 65.3 years, p < 0.001); however, there was no difference in risk stratification compared with BRCA- or untested patients by consensus criteria. Across the population of imaged patients, patients with PCs had significantly higher rates of PDAC compared with those without PCs (18.2% vs 2.4%, p < 0.001). Incidence of cyst-associated PDAC was similar in BRCA+ and BRCA- patients (13.3% vs 22.2%, p = 0.84).

conclusionsBRCA+ patients have similar rates of PCs, high-risk features in their cysts, and PDAC as BRCA- and untested patients. BRCA+ patients likely do not require dedicated abdominal imaging to evaluate for PCs and should follow management guidelines similar to those as the untested general population if an incidental PC is identified.

Indexed as

Genes, BRCA1Genes, BRCA2MutationAbdomenAdultAgedCarcinoma, Pancreatic DuctalCross-Sectional StudiesFemaleHumansMaleMiddle AgedPancreatic CystPancreatic NeoplasmsRetrospective StudiesRisk Assessment

Identifiers

PMID31672679
PMCPMC6934897
OpenAlexW2982693518

What OpenQuestion holds

Textmetadata
LicenceTDM
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.