Evidence map›Paper›PMID 42512422›Full record

ArticleCancers2026

High Prevalence of Superficial Metastases Supports Percutaneous Ultrasound-Guided Biopsy for Diagnosis and Molecular Profiling of Advanced Lung Cancer: Results from a Prospective Cohort.

Marta Viscuso, Vanina Livi, Giovanni Sotgiu, Valeria Cetoretta, Alessandra Cancellieri, Mariangela Puci, Angelo Minucci, Emilio Bria, Federico Cappuzzo, Silvia Novello and 1 more

Abstract read
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

11 authors.

Marta ViscusoInterventional Pulmonology Division, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.
Vanina LiviInterventional Pulmonology Division, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.ORCID 0000-0002-7364-0696
Giovanni SotgiuClinical Epidemiology and Medical Statistics Unit, Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0002-1600-4474
Valeria CetorettaDepartment of Oncology, University of Turin, Azienda Ospedaliero-Universitaria San Luigi, 10126 Turin, Italy.ORCID 0000-0002-2137-0188
Alessandra CancellieriPathology Division, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.ORCID 0000-0002-5895-4419
Mariangela PuciClinical Epidemiology and Medical Statistics Unit, Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0001-5656-6845
Angelo MinucciMolecular Diagnostics and Genomic Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.ORCID 0000-0002-0833-4334
Emilio BriaMedical Oncology Division, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.ORCID 0000-0002-2333-704X
Federico CappuzzoMedical Oncology Division, IRCCS Regina Elena National Cancer Institute, 00144 Rome, Italy.
Silvia NovelloDepartment of Oncology, University of Turin, Azienda Ospedaliero-Universitaria San Luigi, 10126 Turin, Italy.
Rocco TrisoliniInterventional Pulmonology Division, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.ORCID 0000-0002-1067-4696

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

adenocarcinomaendobronchial ultrasound-guided transbronchial needle aspirationlung cancermolecular profilingultrasound-guided biopsy

Identifiers

PMID42512422
PMCPMC13406271

What OpenQuestion holds

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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.