Evidence map›Paper›PMID 31331013›Full record

ArticleCancers2019

Thermal Liquid Biopsy (TLB): A Predictive Score Derived from Serum Thermograms as a Clinical Tool for Screening Lung Cancer Patients.

Alberto Rodrigo, Jorge L Ojeda, Sonia Vega, Oscar Sanchez-Gracia, Angel Lanas, Dolores Isla, Adrian Velazquez-Campoy, Olga Abian

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 19 citations in OpenAlex.

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  10. Liquid biopsy: early and accurate diagnosis of brain tumor.Journal of cancer research and clinical oncology · 2022
    Review
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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

8 authors at 3 institutions in 1 country.

Alberto RodrigoMedical Oncology Department, Hospital Arnau de Vilanova, 25198 Lleida, Spain.
Jorge L OjedaDepartment of Statistical Methods, Universidad de Zaragoza, 50009 Zaragoza, Spain.
Sonia VegaInstitute of Biocomputation and Physics of Complex Systems (BIFI), Joint Units IQFR-CSIC-BIFI, and GBsC-CSIC-BIFI, Universidad de Zaragoza, 50018 Zaragoza, Spain.
Oscar Sanchez-GraciaEnrique Val, 50011 Zaragoza, Spain.
Angel LanasDepartment of Medicine, University of Zaragoza, 50009 Zaragoza, Spain.
Dolores IslaAragon Institute for Health Research (IIS-Aragon), 50009 Zaragoza, Spain.
Adrian Velazquez-CampoyInstitute of Biocomputation and Physics of Complex Systems (BIFI), Joint Units IQFR-CSIC-BIFI, and GBsC-CSIC-BIFI, Universidad de Zaragoza, 50018 Zaragoza, Spain. adrianvc@unizar.es.ORCID 0000-0001-5702-4538
Olga AbianInstitute of Biocomputation and Physics of Complex Systems (BIFI), Joint Units IQFR-CSIC-BIFI, and GBsC-CSIC-BIFI, Universidad de Zaragoza, 50018 Zaragoza, Spain. oabifra@unizar.es.ORCID 0000-0001-5664-1729
Universidad de Zaragoza · ESHospital Arnau de Vilanova · ESHospital Clínico Universitario Lozano Blesa · ES

Funding

Gobierno de Aragón E25_17RGobierno de Aragón E45_17RInstituto de Salud Carlos III PI11/02578Instituto de Salud Carlos III PI15/00663Instituto de Salud Carlos III PI18/00349Ministerio de Economía, Industria y Competitividad, Gobierno de España BFU2016-78232-P
6 · The paper itself

Abstract

Risk population screening programs are instrumental for advancing cancer management and reducing economic costs of therapeutic interventions and the burden of the disease, as well as increasing the survival rate and improving the quality of life for cancer patients. Lung cancer, with high incidence and mortality rates, is not excluded from this situation. The success of screening programs relies on many factors, with some of them being the appropriate definition of the risk population and the implementation of detection techniques with an optimal discrimination power and strong patient adherence. Liquid biopsy based on serum or plasma detection of circulating tumor cells or DNA/RNA is increasingly employed nowadays, but certain limitations constrain its wide application. In this work, we present a new implementation of thermal liquid biopsy (TLB) for lung cancer patients. TLB provides a prediction score based on the ability to detect plasma/serum proteome alterations through calorimetric thermograms that strongly correlates with the presence of lung cancer disease (91% accuracy rate, 90% sensitivity, 92% specificity, diagnostic odds ratio 104). TLB is a quick, minimally-invasive, low-risk technique that can be applied in clinical practice for evidencing lung cancer, and it can be used in screening and monitoring actions.

Indexed as

cancer screening programdifferential scanning calorimetrygeneralized linear modelsliquid biopsylung cancerserum sample

Identifiers

PMID31331013
PMCPMC6678750
OpenAlexW2963398354

What Socratic 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 Socratic graph.