Evidence map›Paper›PMID 36683712›Full record

ReviewWorld journal of gastroenterology2023

Vibrational spectroscopy - are we close to finding a solution for early pancreatic cancer diagnosis?

Krzysztof Szymoński, Łukasz Chmura, Ewelina Lipiec, Dariusz Adamek

Open access · hybridAbstract readReview
In one paragraph

Review in World journal of gastroenterology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
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

4 authors at 2 institutions in 1 country.

Krzysztof SzymońskiDepartment of Pathomorphology, Jagiellonian University Medical College, Cracow 33-332, Poland.
Łukasz ChmuraDepartment of Pathomorphology, Jagiellonian University Medical College, Cracow 33-332, Poland.
Ewelina LipiecM. Smoluchowski Institute of Physics, Jagiellonian University, Cracow 30-348, Poland.
Dariusz AdamekDepartment of Pathomorphology, University Hospital in Cracow, Cracow 31-501, Poland.
Jagiellonian University · PLCracow University of Technology · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic cancer (PC) is an aggressive and lethal neoplasm, ranking seventh in the world for cancer deaths, with an overall 5-year survival rate of below 10%. The knowledge about PC pathogenesis is rapidly expanding. New aspects of tumor biology, including its molecular and morphological heterogeneity, have been reported to explain the complicated "cross-talk" that occurs between the cancer cells and the tumor stroma or the nature of pancreatic ductal adenocarcinoma-associated neural remodeling. Nevertheless, currently, there are no specific and sensitive diagnosis options for PC. Vibrational spectroscopy (VS) shows a promising role in the development of early diagnosis technology. In this review, we summarize recent reports about improvements in spectroscopic methodologies, briefly explain and highlight the drawbacks of each of them, and discuss available solutions. The important aspects of spectroscopic data evaluation with multivariate analysis and a convolutional neural network methodology are depicted. We conclude by presenting a study design for systemic verification of the VS-based methods in the diagnosis of PC.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsBiomarkers, TumorEarly DiagnosisHumansSpectrum AnalysisBiomarkers, TumorConvolutional neural networksDNA methylationLiquid biopsy biomarkersPancreatic cancer diagnosisRaman spectroscopySpectroscopic cancer diagnosis

Identifiers

PMID36683712
PMCPMC9850953
OpenAlexW4313518465

What Socratic 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 Socratic graph.