Evidence map›Paper›PMID 34829513›Full record

ReviewDiagnostics (Basel, Switzerland)2021

Resectable and Borderline Resectable Pancreatic Ductal Adenocarcinoma: Role of the Radiologist and Oncologist in the Era of Precision Medicine.

Federica Vernuccio, Carlo Messina, Valeria Merz, Roberto Cannella, Massimo Midiri

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2021. 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
2.1field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
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  9. Pancreatic cancer, radiomics and artificial intelligence.The British journal of radiology · 2022
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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

5 authors at 3 institutions in 1 country.

Federica VernuccioRadiology Unit, University Hospital "Paolo Giaccone", 90127 Palermo, Italy.ORCID 0000-0003-0350-1794
Carlo MessinaOncology Unit, A.R.N.A.S. Civico, 90127 Palermo, Italy.
Valeria MerzDepartment of Medical Oncology, Santa Chiara Hospital, 38122 Trento, Italy.ORCID 0000-0002-2120-1923
Roberto CannellaDepartment of Biomedicine, Neuroscience and Advanced Diagnostics (BIND), University Hospital of Palermo, Via del Vespro 129, 90127 Palermo, Italy.ORCID 0000-0002-3808-0785
Massimo MidiriDepartment of Biomedicine, Neuroscience and Advanced Diagnostics (BIND), University Hospital of Palermo, Via del Vespro 129, 90127 Palermo, Italy.
University of Palermo · ITAzienda Ospedaliera Universitaria Policlinico "Paolo Giaccone" di Palermo · ITOspedale Santa Chiara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence and mortality of pancreatic ductal adenocarcinoma are growing over time. The management of patients with pancreatic ductal adenocarcinoma involves a multidisciplinary team, ideally involving experts from surgery, diagnostic imaging, interventional endoscopy, medical oncology, radiation oncology, pathology, geriatric medicine, and palliative care. An adequate staging of pancreatic ductal adenocarcinoma and re-assessment of the tumor after neoadjuvant therapy allows the multidisciplinary team to choose the most appropriate treatment for the patient. This review article discusses advancement in the molecular basis of pancreatic ductal adenocarcinoma, diagnostic tools available for staging and tumor response assessment, and management of resectable or borderline resectable pancreatic cancer.

Indexed as

computed tomography (CT)magnetic resonance imaging (MRI)pancreatic ductal adenocarcinomapancreatic neoplasm

Identifiers

PMID34829513
PMCPMC8623921
OpenAlexW3216846891

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.