Evidence map›Paper›PMID 32314876›Full record

ArticleCancer medicine2020

Development and validation of a nomogram to predict survival after curative resection of nonmetastatic colorectal cancer.

Tingting Hong, Dongyan Cai, Linfang Jin, Ying Zhang, Tingxun Lu, Dong Hua, Xiaohong Wu

Abstract readValidation Study
In one paragraph

Article in Cancer medicine, 2020. 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
–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

15 citing papers in PubMed.

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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

7 authors.

Tingting HongDepartment of Medical Oncology, The Affiliated Hospital of Jiangnan University and Wuxi 4th People's Hospital, Wuxi, China.ORCID 0000-0002-7342-5339
Dongyan CaiDepartment of Medical Oncology, The Affiliated Hospital of Jiangnan University and Wuxi 4th People's Hospital, Wuxi, China.
Linfang JinDepartment of Pathology, The Affiliated Hospital of Jiangnan University and Wuxi 4th People's Hospital, Wuxi, China.
Ying ZhangDepartment of Medical Oncology, The Affiliated Hospital of Jiangnan University and Wuxi 4th People's Hospital, Wuxi, China.
Tingxun LuDepartment of Medical Oncology, The Affiliated Hospital of Jiangnan University and Wuxi 4th People's Hospital, Wuxi, China.ORCID 0000-0002-9047-6728
Dong HuaDepartment of Medical Oncology, The Affiliated Hospital of Jiangnan University and Wuxi 4th People's Hospital, Wuxi, China.ORCID 0000-0002-7552-973X
Xiaohong WuDepartment of Medical Oncology, The Affiliated Hospital of Jiangnan University and Wuxi 4th People's Hospital, Wuxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to develop a clinical applicable nomogram to predict overall survival (OS) for patients with curatively resected nonmetastatic colorectal cancer.

methodsRecords from a retrospective cohort of 846 patients with complete information were used to construct the nomogram. The nomogram was validated in a prospective cohort of 379 patients. The performance of the nomogram was evaluated with concordance index (c-index), time-dependent receiver operating characteristic (ROC) curves, calibration plots, and decision curve analyses for discrimination, accuracy, calibration ability, and clinical net benefits respectively, and further compared with AJCC 8th TNM staging and the MSKCC nomogram. Risk stratification based on nomogram scores was performed with recursive partitioning analysis.

resultsThe nomogram incorporated age, Glasgow prognostic score, pretreatment carcinoembryonic antigen levels, T staging, N staging, number of harvested lymph nodes, and histological grade. Compared with the 8th AJCC staging and MSKCC model, the nomogram had a statistically higher c-index (0.77, 95% CI: 0.73-0.80), bigger areas under the time-dependent ROC curves (AUC at 3 years: 79; at 5 years: 79), and improved clinical net benefits. Calibration plots revealed no deviations from reference lines. All results were reproducible in the validation cohort. Nomogram-based risk stratification successfully discriminated patients within each AJCC stage (all log-rank P < .05).

conclusionWe established an accurate, reliable, and easy-to-use nomogram to predict OS after curative resection for nonmetastatic colorectal cancer (CRC). The nomogram outperformed the 8th AJCC staging and the MSKCC model and could aid in personalized treatment and follow-up strategy for CRC patients.

Indexed as

NomogramsAdultAgedAged, 80 and overColorectal NeoplasmsColorectal SurgeryFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisRetrospective StudiesROC CurveSurvival RateYoung Adultcurative resectionnomogramnonmetastatic colorectal canceroverall survival

Identifiers

PMID32314876
PMCPMC7300391

What Socratic holds

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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 Socratic graph.