Evidence map›Paper›PMID 38611086›Full record

ReviewCancers2024

Colorectal Cancer Pulmonary Metastasectomy: When, Why and How.

Francesco Petrella, Federica Danuzzo, Maria Chiara Sibilia, Sara Vaquer, Raffaella Longarini, Alessandro Guidi, Federico Raveglia, Lidia Libretti, Emanuele Pirondini, Andrea Cara and 3 more

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Immune phenotype and RAS/BRAF status predict outcomes after lung metastasectomy for colorectal cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  3. Article
  4. Article
  5. Cancer metastasisFrontiers in bioengineering and biotechnology · 2026
    Review
  6. Article
  7. Article
  8. Review
  9. Review
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

13 authors at 1 institution in 1 country.

Francesco PetrellaDivision of Thoracic Surgery, Fondazione IRCCS San Gerardo dei Tintori, Via GB Pergolesi 33, 20900 Monza, Italy.ORCID 0000-0001-5945-1576
Federica DanuzzoDivision of Thoracic Surgery, Fondazione IRCCS San Gerardo dei Tintori, Via GB Pergolesi 33, 20900 Monza, Italy.ORCID 0000-0002-3919-8646
Maria Chiara SibiliaDivision of Thoracic Surgery, Fondazione IRCCS San Gerardo dei Tintori, Via GB Pergolesi 33, 20900 Monza, Italy.
Sara VaquerDivision of Thoracic Surgery, Fondazione IRCCS San Gerardo dei Tintori, Via GB Pergolesi 33, 20900 Monza, Italy.
Raffaella LongariniDivision of Medical Oncology, Fondazione IRCCS San Gerardo dei Tintori, Via GB Pergolesi 33, 20900 Monza, Italy.
Alessandro GuidiDivision of Medical Oncology, Fondazione IRCCS San Gerardo dei Tintori, Via GB Pergolesi 33, 20900 Monza, Italy.
Federico RavegliaDivision of Thoracic Surgery, Fondazione IRCCS San Gerardo dei Tintori, Via GB Pergolesi 33, 20900 Monza, Italy.
Lidia LibrettiDivision of Thoracic Surgery, Fondazione IRCCS San Gerardo dei Tintori, Via GB Pergolesi 33, 20900 Monza, Italy.
Emanuele PirondiniDivision of Thoracic Surgery, Fondazione IRCCS San Gerardo dei Tintori, Via GB Pergolesi 33, 20900 Monza, Italy.
Andrea CaraDivision of Thoracic Surgery, Fondazione IRCCS San Gerardo dei Tintori, Via GB Pergolesi 33, 20900 Monza, Italy.
Enrico Mario CassinaDivision of Thoracic Surgery, Fondazione IRCCS San Gerardo dei Tintori, Via GB Pergolesi 33, 20900 Monza, Italy.
Antonio TuoroDivision of Thoracic Surgery, Fondazione IRCCS San Gerardo dei Tintori, Via GB Pergolesi 33, 20900 Monza, Italy.
Diego CortinovisDivision of Medical Oncology, Fondazione IRCCS San Gerardo dei Tintori, Via GB Pergolesi 33, 20900 Monza, Italy.ORCID 0000-0001-7611-7369
Azienda Ospedaliera San Gerardo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer is the third-most-diagnosed cancer in males and in females, representing 8% of estimated new cases, and the third cause of cancer-related death in both sexes, accounting for 9% of cancer deaths in men and 8% in women. About 20% of patients diagnosed with CRC present metastatic disease. Although lung metachronous or synchronous metastatic spread without other involved sites has been reported in only a small proportion of patients, considering that this tumor is frequently diagnosed, the clinical approach to CRC pulmonary metastases represents a major issue for thoracic surgeons and CRC oncologists. Among patients diagnosed with pulmonary metastases from CRC, about 9-12% are eligible for local treatments with radical intent, including surgical resection, SBRT (stereotactic body radiation therapy) and ablation therapy. Due to the lack of randomized controlled trials among different local strategies, there is no definitive evidence about the optimal approach, although surgical resection is considered the most effective therapeutic option in this clinical scenario. Oncological achievement of primary radical resection, the biology of primary tumor and metastatic sites, disease free interval and or progression free survival are independent prognostic factors which make it possible to define a cohort of patients which might significantly benefit from pulmonary metastasectomy.

Indexed as

colorectal cancerdisease free intervaloverall survivalpulmonary metastasectomy

Identifiers

PMID38611086
PMCPMC11010871
OpenAlexW4393898532

What OpenQuestion 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 OpenQuestion graph.