Evidence map›Paper›PMID 29689703›Full record

ReviewCancer biomarkers : section A of Disease markers2018

Clinical biomarkers for cancer recognition and prevention: A novel approach with optical measurements.

Giuseppe Latini, Claudio De Felice, Alessandro Barducci, Lucia Dipaola, Mattia Gentile, Maria Grazia Andreassi, Mario Correale, Giorgio Bianciardi

Abstract readReview
In one paragraph

Review in Cancer biomarkers : section A of Disease markers, 2018. 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
–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

2 citing papers in PubMed.

  1. Review
  2. 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

8 authors.

Giuseppe LatiniNeonatal Intensive Care Unit, Perrino Hospital Brindisi-Italy, Brindisi, Italy.
Claudio De FeliceNeonatal Intensive Care Unit, Azienda Ospedaliera Universitaria Senese, Policlinico "Le Scotte" viale Bracci, Siena, Italy.
Alessandro BarducciSofasi srl, Sesto Fiorentino, Firenze, Italy.
Lucia DipaolaResearch Unit of Lecce, Clinical Physiology Institute, National Research Council of Italy, Rome, Italy.
Mattia GentileMedical Genetics Unit, IRCCS S. De Bellis, Castellana Grotte, Bari, Italy.
Maria Grazia AndreassiGenetics Research Unit, Clinical Physiology Institute, National Research Council of Italy, Rome, Italy.
Mario CorrealeClinical Pathology Unit, IRCCS S. De Bellis, Castellana Grotte, Bari, Italy.
Giorgio BianciardiDepartment of Medical Biotechnologies, University of Siena, Siena, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is the most important cause of death worldwide, and early cancer detection is the most fundamental factor for efficacy of treatment, prognosis, and increasing survival rate. Over the years great effort has been devoted to discovering and testing new biomarkers that can improve its diagnosis, especially at an early stage. Here we report the potential usefulness of new, easily applicable, non-invasive and relatively low-cost clinical biomarkers, based on abnormalities of oral mucosa spectral reflectance and fractal geometry of the vascular networks in several different tissues, for identification of hereditary non-polyposis colorectal cancer carriers as well for detection of other tumors, even at an early stage. In the near future the methodology/technology of these procedures should be improved, thus making possible their applicability worldwide as screening tools for early recognition and prevention of cancer.

Indexed as

BiomarkersDiagnostic ImagingGenomicsHumansMetabolomicsNeoplasmsProteomicsSensitivity and SpecificityBiomarkerscancerClinical biomarkersfractal analysisoral mucosal network abnormalitiesoral mucosal spectral reflectance

Identifiers

PMID29689703
PMCPMC13078433

What OpenQuestion holds

Textmetadata
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.