Evidence map›Paper›PMID 33439688›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2021

Clinical Calculator Based on Molecular and Clinicopathologic Characteristics Predicts Recurrence Following Resection of Stage I-III Colon Cancer.

Martin R Weiser, Meier Hsu, Philip S Bauer, William C Chapman, Iván A González, Deyali Chatterjee, Deepak Lingam, Matthew G Mutch, Ajaratu Keshinro, Jinru Shia and 17 more

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
4.9field-weighted citation impact, top 3% 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

35 citing papers in PubMed, 65 citations in OpenAlex.

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  15. Tumour deposits are independently associated with recurrence in colon cancer.Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland · 2024
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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

27 authors at 2 institutions in 2 countries.

Martin R WeiserDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-9577-7984
Meier HsuDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-9519-8560
Philip S BauerDepartment of Surgery, Washington University, St Louis, MO.ORCID 0000-0002-1698-1793
William C ChapmanDepartment of Surgery, Washington University, St Louis, MO.ORCID 0000-0002-7602-5445
Iván A GonzálezDepartment of Pathology and Immunology, Washington University, St Louis, MO.ORCID 0000-0002-3383-2212
Deyali ChatterjeeDepartment of Pathology and Immunology, Washington University, St Louis, MO.ORCID 0000-0002-3322-1163
Deepak LingamDepartment of Pathology and Immunology, Washington University, St Louis, MO.
Matthew G MutchDepartment of Surgery, Washington University, St Louis, MO.
Ajaratu KeshinroDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0003-0892-354X
Jinru ShiaDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-4351-2511
Efsevia VakianiDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY.
Tsuyoshi KonishiDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-5336-0785
Yoshifumi ShimadaDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0003-0524-236X
Zsofia StadlerDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-6985-2864
Neil H SegalDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-3047-2303
Andrea CercekDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-5054-8192
Leonard SaltzDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0001-8353-4670
Rona YaegerDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-7233-5454
Anna VargheseDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0001-5426-0885
Maria WidmarDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Iris H WeiDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0001-9006-9105
Emmanouil P PappouDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
J Joshua SmithDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0003-2538-5456
Garrett NashDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Philip PatyDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-7045-2112
Julio Garcia-AguilarDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Mithat GonenDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0001-8683-8477
Memorial Sloan Kettering Cancer Center · USWashington University in St. Louis · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Elisa de Stanchina · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

purposeClinical calculators and nomograms have been endorsed by the American Joint Committee on Cancer (AJCC), as they provide the most individualized and accurate estimate of patient outcome. Using molecular and clinicopathologic variables, a third-generation clinical calculator was built to predict recurrence following resection of stage I-III colon cancer.

methodsProspectively collected data from 1,095 patients who underwent colectomy between 2007 and 2014 at Memorial Sloan Kettering Cancer Center were used to develop a clinical calculator. Discrimination was measured with concordance index, and variability in individual predictions was assessed with calibration curves. The clinical calculator was externally validated with a patient cohort from Washington University's Siteman Cancer Center in St Louis.

resultsThe clinical calculator incorporated six variables: microsatellite genomic phenotype; AJCC T category; number of tumor-involved lymph nodes; presence of high-risk pathologic features such as venous, lymphatic, or perineural invasion; presence of tumor-infiltrating lymphocytes; and use of adjuvant chemotherapy. The concordance index was 0.792 (95% CI, 0.749 to 0.837) for the clinical calculator, compared with 0.708 (95% CI, 0.671 to 0.745) and 0.757 (0.715 to 0.799) for the staging schemes of the AJCC manual's 5th and 8th editions, respectively. External validation confirmed robust performance, with a concordance index of 0.738 (95% CI, 0.703 to 0.811) and calibration plots of predicted probability and observed events approaching a 45° diagonal.

conclusionThis third-generation clinical calculator for predicting cancer recurrence following curative colectomy successfully incorporates microsatellite genomic phenotype and the presence of tumor-infiltrating lymphocytes, resulting in improved discrimination and predictive accuracy. This exemplifies an evolution of a clinical calculator to maintain relevance by incorporating emerging variables as they become validated and accepted in the oncologic community.

Indexed as

NomogramsAdultAgedAged, 80 and overColectomyColonic NeoplasmsFemaleFollow-Up StudiesHumansMaleMiddle AgedNeoplasm Recurrence, LocalPrognosisProspective StudiesSurvival RateUnited States

Identifiers

PMID33439688
PMCPMC8189618
OpenAlexW3119726180

What OpenQuestion holds

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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.