Evidence map›Paper›PMID 42588687›Full record

ArticleCancers2026

Machine Learning-Driven Radiomics for an Early-Stage Predictive Model of Nodal Upstaging in Thoracic Oncology.

Ivan Lomangino, Giacomo Grisorio, Domenico Albano, Luca Vecchiarelli, Matteo Rota, Matteo Baldi, Letizia Perri, Mauro Roberto Benvenuti, Salvatore Grisanti, Francesco Bertagna

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 2026. 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
–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

0 citing papers in PubMed.

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

10 authors.

Ivan LomanginoCardiothoracic Department, Thoracic Surgery Unit, Spedali Civili, 25123 Brescia, Italy.ORCID 0009-0001-4234-4456
Giacomo GrisorioCardiothoracic Department, Thoracic Surgery Unit, Spedali Civili, 25123 Brescia, Italy.ORCID 0009-0001-1855-5456
Domenico AlbanoNuclear Medicine Department, Università degli Studi di Brescia, 25121 Brescia, Italy.ORCID 0000-0003-0810-6494
Luca VecchiarelliCardiothoracic Department, Thoracic Surgery Unit, Spedali Civili, 25123 Brescia, Italy.
Matteo RotaUnits of Biostatistics and Biomathematics and Bioinformatics, Department of Molecular and Translational Medicine, University of Brescia, 25121 Brescia, Italy.ORCID 0000-0003-3928-5966
Matteo BaldiDepartment of Thoracic Surgery, Università degli Studi di Padova, 35122 Padova, Italy.ORCID 0009-0001-8703-9498
Letizia PerriDepartment of Thoracic Surgery, Università degli Studi di Modena e Reggio Emilia, 41121 Modena, Italy.
Mauro Roberto BenvenutiCardiothoracic Department, Thoracic Surgery Unit, Spedali Civili, 25123 Brescia, Italy.
Salvatore GrisantiMedical Oncology, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health Medical, ASST-Spedali Civili, University of Brescia, 25121 Brescia, Italy.ORCID 0000-0001-6922-1934
Francesco BertagnaNuclear Medicine Department, Università degli Studi di Brescia, 25121 Brescia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

lung cancerlymph nodemachine learningmetastasis

Identifiers

PMID42588687
PMCPMC13463928

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.