Evidence map›Paper›PMID 37402951›Full record

ArticleThe British journal of surgery2023

Artificial intelligence-based models to assess the risk of malignancy on radiological imaging in patients with intraductal papillary mucinous neoplasm of the pancreas: scoping review.

Alberto Balduzzi, Boris V Janssen, Matteo De Pastena, Tommaso Pollini, Giovanni Marchegiani, Henk Marquering, Jaap Stoker, Inez Verpalen, Claudio Bassi, Marc G Besselink and 2 more

Open access · hybridAbstract readScoping Review
In one paragraph

Article in The British journal of surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Review
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

12 authors at 2 institutions in 2 countries.

Alberto BalduzziDepartment of Surgery and Oncology, Unit of General and Pancreatic Surgery, University of Verona Hospital Trust, Verona, Italy.ORCID 0000-0001-6018-8816
Boris V JanssenDepartment of Surgery, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands.
Matteo De PastenaDepartment of Surgery and Oncology, Unit of General and Pancreatic Surgery, University of Verona Hospital Trust, Verona, Italy.
Tommaso PolliniDepartment of Surgery and Oncology, Unit of General and Pancreatic Surgery, University of Verona Hospital Trust, Verona, Italy.ORCID 0000-0001-8036-5699
Giovanni MarchegianiDepartment of Surgery and Oncology, Unit of General and Pancreatic Surgery, University of Verona Hospital Trust, Verona, Italy.ORCID 0000-0002-6824-4533
Henk MarqueringCancer Centre Amsterdam, Amsterdam, the Netherlands.
Jaap StokerCancer Centre Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0002-9822-3784
Inez VerpalenCancer Centre Amsterdam, Amsterdam, the Netherlands.
Claudio BassiDepartment of Surgery and Oncology, Unit of General and Pancreatic Surgery, University of Verona Hospital Trust, Verona, Italy.
Marc G BesselinkDepartment of Surgery, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0003-2650-9350
Roberto SalviaDepartment of Surgery and Oncology, Unit of General and Pancreatic Surgery, University of Verona Hospital Trust, Verona, Italy.
Pancreatobiliary and Hepatic Artificial Intelligence Research (PHAIR) consortium
University of Verona · ITAmsterdam University Medical Centers · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsArtificial IntelligenceHumansPancreas

Identifiers

PMID37402951
PMCPMC10638536
OpenAlexW4383186681

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.