Evidence map›Paper›PMID 31330946›Full record

ReviewCancers2019

Lung-Seeking Metastases.

Giulia M Stella, Stefan Kolling, Silvia Benvenuti, Chandra Bortolotto

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05375591 (Artificial Intelligence & Radiomics for Stratification Of Lung Nodules After Radically Treated Cancer), which is not on this map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
8.4field-weighted citation impact, top 2% 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.

NCT05375591 recruitingnot on this mapstarted 2021, after this paper: background citation

Artificial Intelligence & Radiomics for Stratification Of Lung Nodules After Radically Treated Cancer (AI-SONAR)

TypeobservationalSponsorRoyal Marsden NHS Foundation TrustRan2021 to 2026Enrolled1,000ConditionsIndeterminate Pulmonary Nodules, Lung Metastases, Second Primary Cancer, Lung CancerArmsNon-Interventional Study
3 · Its place in the literature

Who cites it

61 citing papers in PubMed, 103 citations in OpenAlex.

  1. Article
  2. Review
  3. Type I interferons induced upon respiratory viral infection impair lung metastatic initiation.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Cancer metastasisFrontiers in bioengineering and biotechnology · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Lung metastases.Nature reviews. Disease primers · 2025
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Premetastatic niche mechanics and organotropism in breast cancer.npj biological physics and mechanics · 2025
    Review
  18. Article
  19. Review
  20. Article

1 more citing papers are in PubMed but not listed here.

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

4 authors at 3 institutions in 1 country.

Giulia M StellaDepartment of Medical Sciences and Infectious Diseases, Unit of Respiratory System Diseases, IRCCS Fondazione Policlinico San Matteo, 27100 Pavia, Italy. g.stella@smatteo.pv.it.ORCID 0000-0003-0929-4394
Stefan KollingMedical School, University of Pavia, 27100 Pavia, Italy.
Silvia BenvenutiDepartment of Molecular Therapeutics and Exploratory Research, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo (TO), Italy.
Chandra BortolottoDepartment of Intensive Medicine, Unit of Radiology, IRCCS Fondazione Policlinico San Matteo, 27100 Pavia, Italy.ORCID 0000-0002-9193-9309
Policlinico San Matteo Fondazione · ITCandiolo Cancer Institute · ITUniversity of Pavia · IT

Funding

Ricerca Corrente 2018 to GMS and 2019 to SB P_20180064630 and
6 · The paper itself

Abstract

Metastases from different cancer types most often affect the lung parenchyma. Moreover, the lungs are among the most frequent sites of growth of metastatic masses of uncertain/unknown lineage of origin. Thus, with regards to pulmonary neoplastic parenchymal nodules, the critical issue is to determine if they are

Indexed as

biomarkersbiomechanicslungmetastasesmetastatic niche

Identifiers

PMID31330946
PMCPMC6678078
OpenAlexW2957274573

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.