Evidence map›Paper›PMID 34125428›Full record

ArticleUpdates in surgery2021

A nomogram to predict overall survival and disease-free survival after curative-intent gastrectomy for gastric cancer.

Alice Sabrina Tonello, Giulia Capelli, Quoc Riccardo Bao, Alberto Marchet, Fabio Farinati, Timothy M Pawlik, Dario Gregori, Salvatore Pucciarelli, Gaya Spolverato

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Updates in surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 19 citations in OpenAlex.

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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

9 authors at 2 institutions in 2 countries.

Alice Sabrina TonelloFirst Surgical Clinic, Department of Surgical, Oncological and Gastroenterological Sciences (DiSCOG), University of Padua, Padua, Italy.
Giulia CapelliFirst Surgical Clinic, Department of Surgical, Oncological and Gastroenterological Sciences (DiSCOG), University of Padua, Padua, Italy.
Quoc Riccardo BaoFirst Surgical Clinic, Department of Surgical, Oncological and Gastroenterological Sciences (DiSCOG), University of Padua, Padua, Italy.ORCID http://orcid.org/0000-0003-3463-6659
Alberto MarchetFirst Surgical Clinic, Department of Surgical, Oncological and Gastroenterological Sciences (DiSCOG), University of Padua, Padua, Italy.
Fabio FarinatiGastroenterology Unit, Department of Surgical, Oncological and Gastroenterological Sciences (DiSCOG), University of Padua, Padua, Italy.ORCID http://orcid.org/0000-0002-2944-1374
Timothy M PawlikDepartment of Surgical Oncology, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Dario GregoriUnit of Biostatistics, Epidemiology, and Public Health, Department of Cardiac, Thoracic, and Vascular Sciences, University of Padua, Padua, Italy.ORCID http://orcid.org/0000-0001-7906-0580
Salvatore PucciarelliFirst Surgical Clinic, Department of Surgical, Oncological and Gastroenterological Sciences (DiSCOG), University of Padua, Padua, Italy. puc@unipd.it.ORCID http://orcid.org/0000-0001-5289-9925
Gaya SpolveratoFirst Surgical Clinic, Department of Surgical, Oncological and Gastroenterological Sciences (DiSCOG), University of Padua, Padua, Italy.ORCID http://orcid.org/0000-0002-7275-2573
University of Padua · ITThe Ohio State University Wexner Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An individual prediction of DFS and OS may be useful after surgery for gastric cancer to inform patients and to guide the clinical management. Patients who underwent curative-intent resection for gastric cancer between January 2010 and May 2020 at a single Italian institution were identified. Variables associated with OS and DFS were recorded and analysed according to univariable and multivariable Cox models. Nomograms predicting OS and DFS were built according to variables resulting from multivariable Cox models. Discrimination ability was calculated using the Harrell's Concordance Index. Overall, 168 patients underwent curative-intent resection. Nomograms to predict OS were developed including age, tumor size, tumor location, T stage, N stage, M stage and post-operative complications, while nomogram to predict DFS includes Lauren classification, and lymph node ratio (LNR). On internal validation, both nomograms demonstrated a good discrimination with a Harrell's C-index of 0.77 for OS and 0.71 for DFS. The proposed nomogram to predict DFS and OS after curative-intent surgery for gastric cancer showed a good discrimination on internal validation, and may be useful to guide clinician decision-making, as well help identify patients with high-risk of recurrence or with a poor estimated survival.

Indexed as

NomogramsStomach NeoplasmsDisease-Free SurvivalGastrectomyHumansNeoplasm Recurrence, LocalNeoplasm StagingPrognosisRetrospective StudiesDisease-free survivalGastric cancerNomogramOverall survival

Identifiers

PMID34125428
PMCPMC8500903
OpenAlexW3172926897

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.