Evidence map›Paper›PMID 39121392›Full record

ArticleJCO clinical cancer informatics2024

Clinical Calculator for Predicting Freedom From Recurrence After Resection of Stage I-III Colon Cancer in Patients With Microsatellite Instability.

Ayyuce Begum Bektas, Lynn Hakki, Asama Khan, Maria Widmar, Iris H Wei, Emmanouil Pappou, J Joshua Smith, Garrett M Nash, Philip B Paty, Julio Garcia-Aguilar and 6 more

Abstract read
In one paragraph

Article in JCO clinical cancer informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

16 authors.

Ayyuce Begum BektasDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-1432-9056
Lynn HakkiDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Asama KhanDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
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 PappouDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-8735-1852
J Joshua SmithDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0003-2538-5456
Garrett M NashDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Philip B 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.ORCID 0000-0003-2451-0948
Andrea CercekDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-5054-8192
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
Jinru ShiaDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-4351-2511
Mithat GonenDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0001-8683-8477
Martin R WeiserDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-9577-7984

Funding

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

Abstract

purposeOutcome for patients with nonmetastatic, microsatellite instability (MSI) colon cancer is favorable: however, high-risk cohorts exist. This study was aimed at developing and validating a nomogram model to predict freedom from recurrence (FFR) for patients with resected MSI colon cancer. PATIENTS AND

methodsData from patients who underwent curative resection of stage I, II, or III MSI colon cancer in 2014-2021 (model training cohort, 384 patients, 33 events; median follow-up, 38.8 months) were retrospectively collected from institutional databases. Variables associated with recurrence in multivariable analysis were selected for inclusion in the clinical calculator. The calculator's predictive accuracy was measured with the concordance index and validated using data from patients who underwent treatment for MSI colon cancer in 2007-2013 (validation cohort, 164 patients, eight events; median follow-up, 84.8 months).

resultsT category and number of positive lymph nodes were significantly associated with recurrence in multivariable analysis and were selected for inclusion in the clinical calculator. The calculator's concordance index for FFR in the model training cohort was 0.812 (95% CI, 0.742 to 0.873), compared with 0.759 (95% CI, 0.683 to 0.840) for the staging schema of the eighth edition of the American Joint Committee on Cancer Staging Manual. The concordance index for the validation cohort was 0.744 (95% CI, 0.666 to 0.822), confirming robust predictive accuracy.

conclusionAlthough in general patients with nonmetastatic MSI colon cancer had favorable outcome, patients with advanced T category and multiple metastatic lymph nodes had higher risk of recurrence. The clinical calculator identified patients with MSI colon cancer at high risk for recurrence, and this could inform surveillance strategies. In addition, the model could be used in trial design to identify patients suitable for novel adjuvant therapy.

Indexed as

Colonic NeoplasmsMicrosatellite InstabilityNeoplasm Recurrence, LocalNeoplasm StagingAdultAgedFemaleHumansMaleMiddle AgedNomogramsPrognosisRetrospective Studies

Identifiers

PMID39121392
PMCPMC11323037

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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.