Evidence map›Paper›PMID 35928863›Full record

ReviewFrontiers in oncology2022

Beyond N staging in colorectal cancer: Current approaches and future perspectives.

Gianluca Arrichiello, Mario Pirozzi, Bianca Arianna Facchini, Sergio Facchini, Fernando Paragliola, Valeria Nacca, Antonella Nicastro, Maria Anna Canciello, Adele Orlando, Marianna Caterino and 8 more

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 33 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

18 authors at 2 institutions in 1 country.

Gianluca ArrichielloOncology Unit, Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy.
Mario PirozziOncology Unit, Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy.
Bianca Arianna FacchiniOncology Unit, Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy.
Sergio FacchiniOncology Unit, Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy.
Fernando ParagliolaOncology Unit, Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy.
Valeria NaccaOncology Unit, Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy.
Antonella NicastroOncology Unit, Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy.
Maria Anna CancielloOncology Unit, Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy.
Adele OrlandoOncology Unit, Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy.
Marianna CaterinoOncology Unit, Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy.
Davide CiardielloOncology Unit, Casa Sollievo della Sofferenza Hospital, San Giovanni Rotondo, Italy.
Carminia Maria Della CorteOncology Unit, Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy.
Morena FasanoOncology Unit, Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy.
Stefania NapolitanoOncology Unit, Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy.
Teresa TroianiOncology Unit, Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy.
Fortunato CiardielloOncology Unit, Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy.
Giulia MartiniOncology Unit, Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy.
Erika MartinelliOncology Unit, Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy.
University of Campania "Luigi Vanvitelli" · ITCasa Sollievo della Sofferenza · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditionally, lymph node metastases (LNM) evaluation is essential to the staging of colon cancer patients according to the TNM (tumor-node-metastasis) system. However, in recent years evidence has accumulated regarding the role of emerging pathological features, which could significantly impact the prognosis of colorectal cancer patients. Lymph Node Ratio (LNR) and Log Odds of Positive Lymph Nodes (LODDS) have been shown to predict patients' prognosis more accurately than traditional nodal staging and it has been suggested that their implementation in existing classification could help stratify further patients with overlapping TNM stage. Tumor deposits (TD) are currently factored within the N1c category of the TNM classification in the absence of lymph node metastases. However, studies have shown that presence of TDs can affect patients' survival regardless of LNM. Moreover, evidence suggest that presence of TDs should not be evaluated as dichotomic but rather as a quantitative variable. Extranodal extension (ENE) has been shown to correlate with presence of other adverse prognostic features and to impact survival of colorectal cancer patients. In this review we will describe current staging systems and prognostic/predictive factors in colorectal cancer and elaborate on available evidence supporting the implementation of LNR/LODDS, TDs and ENE evaluation in existing classification to improve prognosis estimation and patient selection for adjuvant treatment.

Indexed as

adjuvant treatmentcolorectal cancerlymph node metastasesTNMtumor staging

Identifiers

PMID35928863
PMCPMC9344134
OpenAlexW4285801608

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.