Evidence map›Paper›PMID 35204400›Full record

ReviewDiagnostics (Basel, Switzerland)2022

Diagnostic Value of Artificial Intelligence-Assisted Endoscopic Ultrasound for Pancreatic Cancer: A Systematic Review and Meta-Analysis.

Elena Adriana Dumitrescu, Bogdan Silviu Ungureanu, Irina M Cazacu, Lucian Mihai Florescu, Liliana Streba, Vlad M Croitoru, Daniel Sur, Adina Croitoru, Adina Turcu-Stiolica, Cristian Virgil Lungulescu

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 6 pooled it
–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

22 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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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

10 authors.

Elena Adriana DumitrescuInstitute of Oncology, Prof. Dr. Alexandru Trestioreanu, Șoseaua Fundeni, 022328 Bucharest, Romania.
Bogdan Silviu UngureanuDepartment of Gastroenterology, University of Medicine and Pharmacy Craiova, 2 Petru Rares Str, 200349 Craiova, Romania.
Irina M CazacuDepartment of Oncology, Fundeni Clinical Institute, 258 Fundeni St, 022238 Bucharest, Romania.
Lucian Mihai FlorescuDepartment of Radiology & Medical Imaging, University of Medicine and Pharmacy Craiova, 2-4 Petru Rares St, 200349 Craiova, Romania.
Liliana StrebaDepartment of Oncology, University of Medicine and Pharmacy Craiova, 2 Petru Rares Str, 200349 Craiova, Romania.
Vlad M CroitoruDepartment of Oncology, Fundeni Clinical Institute, 258 Fundeni St, 022238 Bucharest, Romania.ORCID 0000-0002-4708-6265
Daniel Sur11th Department of Medical Oncology, University of Medicine and Pharmacy Iuliu Hatieganu, 400012 Cluj-Napoca, Romania.ORCID 0000-0002-0926-4614
Adina CroitoruDepartment of Oncology, Fundeni Clinical Institute, 258 Fundeni St, 022238 Bucharest, Romania.ORCID 0000-0003-4216-6570
Adina Turcu-StiolicaDepartment of Pharmacoeconomics, University of Medicine and Pharmacy of Craiova, 2 Petru Rares Str, 200349 Craiova, Romania.ORCID 0000-0003-1374-276X
Cristian Virgil LungulescuDepartment of Oncology, University of Medicine and Pharmacy Craiova, 2 Petru Rares Str, 200349 Craiova, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We performed a meta-analysis of published data to investigate the diagnostic value of artificial intelligence for pancreatic cancer. Systematic research was conducted in the following databases: PubMed, Embase, and Web of Science to identify relevant studies up to October 2021. We extracted or calculated the number of true positives, false positives true negatives, and false negatives from the selected publications. In total, 10 studies, featuring 1871 patients, met our inclusion criteria. The risk of bias in the included studies was assessed using the QUADAS-2 tool. R and RevMan 5.4.1 software were used for calculations and statistical analysis. The studies included in the meta-analysis did not show an overall heterogeneity (I

Indexed as

artificial intelligencecomputer-aided diagnosisdeep learningendoscopic ultrasoundpancreatic cancer

Identifiers

PMID35204400
PMCPMC8870917

What OpenQuestion holds

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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.