Evidence map›Paper›PMID 28117344›Full record

ArticleScientific reports2017

Highly Sensitive Marker Panel for Guidance in Lung Cancer Rapid Diagnostic Units.

Sonia Blanco-Prieto, Loretta De Chiara, Mar Rodríguez-Girondo, Lorena Vázquez-Iglesias, Francisco Javier Rodríguez-Berrocal, Alberto Fernández-Villar, María Isabel Botana-Rial, María Páez de la Cadena

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Biomarkers Suitable for Early Detection of Intrathoracic Cancers in Primary Care: A Systematic Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Pooled it
  2. Article
  3. Article
  4. Review
  5. Biomarkers for Comorbidities Modulate the Activity of T-Cells in COPD.International journal of molecular sciences · 2021
    Article
  6. Calprotectin in Lung Diseases.International journal of molecular sciences · 2021
    Review
  7. Frontiers in immunology · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. 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

8 authors.

Sonia Blanco-PrietoDepartment of Biochemistry, Genetics and Immunology, Faculty of Biology, Universidad de Vigo. 36310 Vigo, Spain.
Loretta De ChiaraDepartment of Biochemistry, Genetics and Immunology, Faculty of Biology, Universidad de Vigo. 36310 Vigo, Spain.
Mar Rodríguez-GirondoDepartment of Medical Statistics and Bioinformatics, Leiden University Medical Center. 2300RC Leiden, The Netherlands.
Lorena Vázquez-IglesiasDepartment of Biochemistry, Genetics and Immunology, Faculty of Biology, Universidad de Vigo. 36310 Vigo, Spain.
Francisco Javier Rodríguez-BerrocalDepartment of Biochemistry, Genetics and Immunology, Faculty of Biology, Universidad de Vigo. 36310 Vigo, Spain.
Alberto Fernández-VillarServicio de Neumología Hospital Álvaro Cunqueiro EOXI Vigo, Instituto de Investigación Biomédica de Vigo. 36312 Vigo, Spain.
María Isabel Botana-RialServicio de Neumología Hospital Álvaro Cunqueiro EOXI Vigo, Instituto de Investigación Biomédica de Vigo. 36312 Vigo, Spain.
María Páez de la CadenaDepartment of Biochemistry, Genetics and Immunology, Faculty of Biology, Universidad de Vigo. 36310 Vigo, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While evidence for lung cancer screening implementation in Europe is awaited, Rapid Diagnostic Units have been established in many hospitals to accelerate the early diagnosis of lung cancer. We seek to develop an algorithm to detect lung cancer in a symptomatic population attending such unit, based on a sensitive serum marker panel. Serum concentrations of Epidermal Growth Factor, sCD26, Calprotectin, Matrix Metalloproteinases -1, -7, -9, CEA and CYFRA 21.1 were determined in 140 patients with respiratory symptoms (lung cancer and controls with/without benign pathology). Logistic Lasso regression was performed to derive a lung cancer prediction model, and the resulting algorithm was tested in a validation set. A classification rule based on EGF, sCD26, Calprotectin and CEA was established, able to reasonably discriminate lung cancer with 97% sensitivity and 43% specificity in the training set, and 91.7% sensitivity and 45.4% specificity in the validation set. Overall, the panel identified with high sensitivity stage I non-small cell lung cancer (94.7%) and 100% small-cell lung cancers. Our study provides a sensitive 4-marker classification algorithm for lung cancer detection to aid in the management of suspicious lung cancer patients in the context of Rapid Diagnostic Units.

Indexed as

AgedAlgorithmsBiomarkers, TumorFemaleHumansLung NeoplasmsMaleNeoplasm StagingSensitivity and SpecificityBiomarkers, Tumor

Identifiers

PMID28117344
PMCPMC5259733

What OpenQuestion holds

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LicenceCC BY
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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.