Evidence map›Paper›PMID 33036222›Full record

ArticleDiagnostics (Basel, Switzerland)2020

Contrast-Enhanced Harmonic Endoscopic Ultrasound-Guided Fine-Needle Aspiration versus Standard Fine-Needle Aspiration in Pancreatic Masses: A Propensity Score Analysis.

Antonio Facciorusso, Christian Cotsoglou, Andrea Chierici, Ruxandra Mare, Stefano Francesco Crinò, Nicola Muscatiello

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  3. Comparison of standardWorld journal of methodology · 2025
    Article
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  5. Contrast-enhanced guided endoscopic ultrasound procedures.World journal of gastroenterology · 2024
    Review
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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

6 authors.

Antonio FacciorussoGastroenterology Unit, Department of Medical Sciences, Ospedali Riuniti di Foggia, 71122 Foggia, Italy.ORCID 0000-0002-2107-2156
Christian CotsoglouGeneral Surgery Department, ASST-Vimercate, 20871 Vimercate, Italy.
Andrea ChiericiGeneral Surgery Department, ASST-Vimercate, 20871 Vimercate, Italy.
Ruxandra MareDepartment of Internal Medicine II, Gastroenterology Unit, "Victor Babes" University of Medicine and Pharmacy, 300226 Timisoara, Romania.
Stefano Francesco CrinòDepartment of Medicine, Gastroenterology and Digestive Endoscopy Unit, The Pancreas Institute, University Hospital of Verona, 37100 Verona, Italy.
Nicola MuscatielloGastroenterology Unit, Department of Medical Sciences, Ospedali Riuniti di Foggia, 71122 Foggia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhether endoscopic ultrasound (EUS) contrast-enhanced fine-needle aspiration (CH-EUS-FNA) determines superior results in comparison to standard EUS-FNA in tissue acquisition of pancreatic masses remains unclear. The aim of this study was to compare these two techniques on a series of patients with solid pancreatic lesions.

methods362 patients underwent EUS-FNA (2008-2019), after the propensity score matching of two groups were compared; 103 treated with CH-EUS-FNA (group 1) and 103 with standard EUS-FNA (group 2). The primary outcome was the diagnostic accuracy. Secondary outcomes were sensitivity, specificity, and sample adequacy.

resultsDiagnostic sensitivity was 87.6% in group 1 and 80% in group 2 (

conclusionsCH-EUS-FNA does not appear to be superior to standard EUS-FNA in patients with pancreatic masses.

Indexed as

contrast-enhanced fine-needle aspiration (CH-FNA).endoscopic ultrasound (EUS)endoscopyfine-needle aspiration (FNA)pancreas

Identifiers

PMID33036222
PMCPMC7601727

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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.