Evidence map›Paper›PMID 35789302›Full record

ArticleAnnals of surgical oncology2022

Prediction of Metachronous Peritoneal Metastases After Radical Surgery for Colon Cancer: A Scoring System Obtained from an International Multicenter Cohort.

Corrado Pedrazzani, Giulia Turri, Daniele Marrelli, Hye Jin Kim, Eun Jung Park, Gaya Spolverato, Caterina Foppa, Antonino Spinelli, Salvatore Pucciarelli, Seung Hyuk Baik and 1 more

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Annals of surgical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 2 countries.

Corrado PedrazzaniDivision of General and Hepatobiliary Surgery, Department of Surgical Sciences, Dentistry, Gynecology and Pediatrics, Verona University Hospital, University of Verona, Verona, Italy. corrado.pedrazzani@univr.it.
Giulia TurriDivision of General and Hepatobiliary Surgery, Department of Surgical Sciences, Dentistry, Gynecology and Pediatrics, Verona University Hospital, University of Verona, Verona, Italy.
Daniele MarrelliDepartment of Surgery, Policlinico le Scotte, University of Siena, Siena, Italy.
Hye Jin KimColorectal Cancer Centre, Kyungpook National University Medical Centre, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Eun Jung ParkDivision of Colon and Rectal Surgery, Department of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Gaya SpolveratoGeneral Surgery 3, Department of Surgery, Oncology, and Gastroenterology, University of Padova, Padova, Italy.
Caterina FoppaDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Antonino SpinelliDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Salvatore PucciarelliGeneral Surgery 3, Department of Surgery, Oncology, and Gastroenterology, University of Padova, Padova, Italy.
Seung Hyuk BaikDivision of Colon and Rectal Surgery, Department of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Gyu Seog ChoiColorectal Cancer Centre, Kyungpook National University Medical Centre, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Humanitas University · ITKyungpook National University Medical Center · KRUniversity of Padua · ITUniversity of Verona · ITYonsei University · KRUniversity of Siena · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince novel strategies for prevention and treatment of metachronous peritoneal metastases (mPM) are under study, it appears crucial to identify their risk factors. Our aim is to establish the incidence of mPM after surgery for colon cancer (CC) and to build a statistical model to predict the risk of recurrence. PATIENTS AND

methodsRetrospective analysis of consecutive pT3-4 CC operated at five referral centers (2014-2018). Patients who developed mPM were compared with patients who were PM-free at follow-up. A scoring system was built on the basis of a logistic regression model.

resultsOf the 1423 included patients, 74 (5.2%) developed mPM. Patients in the PM group presented higher preoperative carcinoembryonic antigen (CEA) [median (IQR): 4.5 (2.5-13.0) vs. 2.7 (1.5-5.9), P = 0.001] and CA 19-9 [median (IQR): 17.7 (12.0-37.0) vs. 10.8 (5.0-21.0), P = 0.001], advanced disease (pT4a 42.6% vs. 13.5%; pT4b 16.2% vs. 3.2%; P < 0.001), and negative pathological characteristics. Multivariate logistic regression identified CA 19-9, pT stage, pN stage, extent of lymphadenectomy, and lymphovascular invasion as significant predictors, and individual risk scores were calculated for each patient. The risk of recurrence increased remarkably with score values, and the model demonstrated a high negative predictive value (98.8%) and accuracy (83.9%) for scores below five.

conclusionsBesides confirming incidence and risk factors for mPM, our study developed a useful clinical tool for prediction of mPM risk. After external validation, this scoring system may guide personalized decision-making for patients with locally advanced CC.

Indexed as

Colonic NeoplasmsPeritoneal NeoplasmsCarcinoembryonic AntigenHumansNeoplasm StagingPrognosisRetrospective StudiesCarcinoembryonic Antigen

Identifiers

PMID35789302
PMCPMC9550705
OpenAlexW4283828029

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.