Evidence map›Paper›PMID 39001525›Full record

ArticleCancers2024

International External Validation of Risk Prediction Model of 90-Day Mortality after Gastrectomy for Cancer Using Machine Learning.

Mariagiulia Dal Cero, Joan Gibert, Luis Grande, Marta Gimeno, Javier Osorio, Maria Bencivenga, Uberto Fumagalli Romario, Riccardo Rosati, Paolo Morgagni, Suzanne Gisbertz and 25 more

Abstract read
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

35 authors.

Mariagiulia Dal CeroHospital del Mar Research Institute (IMIM), Section of Gastrointestinal Surgery, Hospital del Mar, Department of Surgery, Universitat Autònoma de Barcelona, 08003 Barcelona, Spain.ORCID 0000-0002-0558-2244
Joan GibertDepartment of Pathology, Hospital Universitario del Mar, Cancer Research Program, Hospital del Mar Research Institute (IMIM), 08003 Barcelona, Spain.ORCID 0000-0002-0742-0759
Luis GrandeHospital del Mar Research Institute (IMIM), Section of Gastrointestinal Surgery, Hospital del Mar, Department of Surgery, Universitat Autònoma de Barcelona, 08003 Barcelona, Spain.
Marta GimenoHospital del Mar Research Institute (IMIM), Section of Gastrointestinal Surgery, Hospital del Mar, Department of Surgery, Universitat Autònoma de Barcelona, 08003 Barcelona, Spain.ORCID 0000-0003-3237-9927
Javier OsorioSection of Esophagogastric and Bariatric Surgery, Hospital Clinic, Department of Surgery, Universitat de Barcelona, 08193 Barcelona, Spain.
Maria BencivengaDepartment of Surgery, General and Upper G.I. Surgery Division, University of Verona, 37126 Verona, Italy.
Uberto Fumagalli RomarioDigestive Surgery, European Institute of Oncology, IRCCS, 20122 Milan, Italy.
Riccardo RosatiDepartment of GI Surgery, IRCCS, San Raffaele Hospital, Vita-Salute University, 20135 Milan, Italy.ORCID 0000-0002-2608-5749
Paolo MorgagniGB Morgagni-L Pierantoni Surgical Department, 47121 Forli, Italy.
Suzanne GisbertzDepartment of Surgery, University Medical Center, 1007 Amsterdam, The Netherlands.ORCID 0000-0001-9655-7601
Wojciech P PolkowskiDepartment of Surgical Oncology, Medical University of Lublin, 20-080 Lublin, Poland.ORCID 0000-0001-6455-5636
Lucio Lara SantosExperimental Pathology and Therapeutics Group and Surgical Oncology Department, Portuguese Institute of Oncology, 4200-072 Porto, Portugal.
Piotr KołodziejczykDepartment of Surgery I, Jagiellonian University, 31-007 Krakow, Poland.
Wojciech Kielan2nd Department of General and Oncological Surgery, Wroclaw Medical University, 50-367 Wroclaw, Poland.ORCID 0000-0001-6116-6504
Rossella ReddavidDepartment of Oncology, Division of Surgical Oncology and Digestive Surgery, University of Turin, San Luigi University Hospital, Orbassano, 10043 Turin, Italy.ORCID 0000-0003-0603-9953
Johanna W van SandickDepartment of Surgery, Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, 1066 Amsterdam, The Netherlands.
Gian Luca BaiocchiGeneral Surgery Unit, Department of Clinical and Experimental Sciences, University of Brescia, ASST Cremona, 26100 Cremona, Italy.ORCID 0000-0003-2402-2178
Ines GockelDepartment of Visceral, Transplant, Thoracic and Vascular Surgery, University Hospital of Leipzig, 04103 Leipzig, Germany.ORCID 0000-0001-7423-713X
Andrew DaviesDepartment of Digestive Surgery, Guy's & St Thomas' National Health Service Foundation Trust, London SE1 7EH, UK.
Bas P L WijnhovenDepartment of Surgery, Erasmus University Medical Center, 3015 Rotterdam, The Netherlands.
Daniel ReimDepartment of Surgery, School of Medicine and Health, Technical University of Munich, 81675 Munich, Germany.ORCID 0000-0001-9736-3307
Paulo CostaDepartment of General Surgery, Faculdade de Medicina, Universidade de Lisboa, Hospital Garcia de Orta, 1649-028 Lisboa, Portugal.ORCID 0000-0002-7550-8285
William H AllumDepartment of Surgery, Royal Marsden NHS Foundation Trust, London SW3 6JJ, UK.
Guillaume PiessenDepartment of Digestive and Oncological Surgery, University Lille, Claude Huriez University Hospital, 59037 Lille, France.
John V ReynoldsDepartment of Surgery, Trinity College Dublin, St. James's Hospital, D08 W9RT Dublin, Ireland.
Stefan P MönigDivision of Abdominal Surgery, University Hospital of Geneva, 1205 Geneva, Switzerland.
Paul M SchneiderCenter for Visceral, Thoracic and Specialized Tumor Surgery, Hirslanden Medical Center, 5000 Zurich, Switzerland.
Elisenda GarsotDepartment of Surgery, Universitat Autònoma de Barcelona, Hospital Universitari Germans Trias i Pujol, 08916 Barcelona, Spain.ORCID 0000-0003-3132-4756
Emma EizaguirreDepartment of Surgery, Hospital Universitario de Donostia, 20014 Donostia, Spain.
Mònica MiróDepartment of Surgery, Hospital Universitari de Bellvitge, 08907 L'Hospitalet de Llobregat, Spain.
Sandra CastroDepartment of Surgery, Universitat Autónoma de Barcelona, Hospital Universitari Vall d'Hebron, 08035 Barcelona, Spain.ORCID 0000-0001-8518-749X
Coro MirandaDepartment of Surgery, Hospital Universitario de Navarra, 31008 Pamplona, Spain.
Xavier Monzonis-HernándezDepartment of Pathology, Hospital Universitario del Mar, Cancer Research Program, Hospital del Mar Research Institute (IMIM), 08003 Barcelona, Spain.
Manuel PeraHospital del Mar Research Institute (IMIM), Section of Gastrointestinal Surgery, Hospital del Mar, Department of Surgery, Universitat Autònoma de Barcelona, 08003 Barcelona, Spain.ORCID 0000-0002-9449-1810
On Behalf Of The Spanish Eurecca Esophagogastric Cancer Group And The European Gastrodata Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRadical gastrectomy remains the main treatment for gastric cancer, despite its high mortality. A clinical predictive model of 90-day mortality (90DM) risk after gastric cancer surgery based on the Spanish EURECCA registry database was developed using a matching learning algorithm. We performed an external validation of this model based on data from an international multicenter cohort of patients.

methodsA cohort of patients from the European GASTRODATA database was selected. Demographic, clinical, and treatment variables in the original and validation cohorts were compared. The performance of the model was evaluated using the area under the curve (AUC) for a random forest model.

resultsThe validation cohort included 2546 patients from 24 European hospitals. The advanced clinical T- and N-category, neoadjuvant therapy, open procedures, total gastrectomy rates, and mean volume of the centers were significantly higher in the validation cohort. The 90DM rate was also higher in the validation cohort (5.6%) vs. the original cohort (3.7%). The AUC in the validation model was 0.716.

conclusionThe externally validated model for predicting the 90DM risk in gastric cancer patients undergoing gastrectomy with curative intent continues to be as useful as the original model in clinical practice.

Indexed as

gastrectomygastric cancermachine learningmortalitypredictionvalidation

Identifiers

PMID39001525
PMCPMC11240515

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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.