Evidence map›Paper›PMID 37623681›Full record

ReviewJournal of imaging2023

Prospective of Pancreatic Cancer Diagnosis Using Cardiac Sensing.

Mansunderbir Singh, Priyanka Anvekar, Bhavana Baraskar, Namratha Pallipamu, Srikanth Gadam, Akhila Sai Sree Cherukuri, Devanshi N Damani, Kanchan Kulkarni, Shivaram P Arunachalam

Open access · goldAbstract readReview
In one paragraph

Review in Journal of imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 27% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 3 institutions in 2 countries.

Mansunderbir SinghDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.
Priyanka AnvekarDepartment of Medicine, Division of Infectious Diseases, Mayo Clinic, Rochester, MN 55905, USA.
Bhavana BaraskarDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.
Namratha PallipamuDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.
Srikanth GadamDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.
Akhila Sai Sree CherukuriGIH Artificial Intelligence Laboratory (GAIL), Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Devanshi N DamaniDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0003-2525-7980
Kanchan KulkarniCentre de Recherche Cardio-Thoracique de Bordeaux, University of Bordeaux, INSERM, U1045, 33000 Bordeaux, France.ORCID 0000-0002-3185-0484
Shivaram P ArunachalamDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0003-3251-5415
Mayo Clinic · USTexas Tech University · USUniversité de Bordeaux · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic carcinoma (Ca Pancreas) is the third leading cause of cancer-related deaths in the world. The malignancies of the pancreas can be diagnosed with the help of various imaging modalities. An endoscopic ultrasound with a tissue biopsy is so far considered to be the gold standard in terms of the detection of Ca Pancreas, especially for lesions <2 mm. However, other methods, like computed tomography (CT), ultrasound, and magnetic resonance imaging (MRI), are also conventionally used. Moreover, newer techniques, like proteomics, radiomics, metabolomics, and artificial intelligence (AI), are slowly being introduced for diagnosing pancreatic cancer. Regardless, it is still a challenge to diagnose pancreatic carcinoma non-invasively at an early stage due to its delayed presentation. Similarly, this also makes it difficult to demonstrate an association between Ca Pancreas and other vital organs of the body, such as the heart. A number of studies have proven a correlation between the heart and pancreatic cancer. The tumor of the pancreas affects the heart at the physiological, as well as the molecular, level. An overexpression of the SMAD4 gene; a disruption in biomolecules, such as IGF, MAPK, and ApoE; and increased CA19-9 markers are a few of the many factors that are noted to affect cardiovascular systems with pancreatic malignancies. A comprehensive review of this correlation will aid researchers in conducting studies to help establish a definite relation between the two organs and discover ways to use it for the early detection of Ca Pancreas.

Indexed as

cardiac hypertrophycardiac sensorscardiomyopathyCTearly detectionheart failureheart remodelingMRIpancreatic cancerultrasound imaging

Identifiers

PMID37623681
PMCPMC10455647
OpenAlexW4385272835

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.