Evidence map›Paper›PMID 32162825›Full record

ArticleThe oncologist2020

The Critical Role of Tumor Size in Predicting Prognosis for T1 Colon Cancer.

Weixing Dai, Shaobo Mo, Wenqiang Xiang, Lingyu Han, Qingguo Li, Renjie Wang, Ye Xu, Guoxiang Cai

Open access · bronzeAbstract read
In one paragraph

Article in The oncologist, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 6% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.

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  15. Clinical characteristics and prognosis analysis of postoperative patients with stage I-III colon cancer based on SEER database.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 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

8 authors at 2 institutions in 1 country.

Weixing Dai *Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.
Shaobo Mo *Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.
Wenqiang XiangDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.
Lingyu HanDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.
Qingguo LiDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.
Renjie WangDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.
Ye XuDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.
Guoxiang CaiDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.
Fudan University Shanghai Cancer Center · CNShanghai Medical College of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe role of horizontal growth index of tumor size in survival prediction is still underappreciated in colon cancer because of the identification of vertical infiltration index reflected by T stage. We sought to reveal the impact of T stage on the prognostic and predictive value of tumor size in colon cancer. MATERIALS AND

methodsData of patients with stage I-III colon cancer were extracted from Surveillance, Epidemiology, and End Results Program (SEER) and Fudan University Shanghai Cancer Center (FUSCC) databases. Harrell's concordance index (c-index) and time-dependent receiver operating characteristic curve (ROC) were used to analyze the discriminative ability of prognostic factors.

resultsStratified analyses based on T stage found that the increase of T stage significantly and negatively repressed the effect of tumor size on death and recurrence risk. In addition, tumor size showed the greatest hazard ratio of cancer-specific death and relapse in T1 colon cancer. Even more importantly, the discriminatory ability of tumor size outperformed any other widely accepted prognostic clinical features in predicting cancer-specific survival (SEER: c-index 0.637, area under the ROC [AUC] 0.649; FUSCC: c-index 0.673, AUC 0.686) and disease-free survival (FUSCC: c-index 0.645, AUC 0.656) in T1 stage colon cancer.

conclusionTumor size is a critical clinical factor with considerable prognostic and predictive value for T1 colon cancer, and it should be selectively incorporated into the current staging system to facilitate prediction of death and recurrence risk. IMPLICATIONS FOR PRACTICE: To date, no consensus has been reached about the prognostic and predictive value of tumor size in colon cancer. Although tumor size is an independent prognostic factor for patients with colon cancer, the impact of tumor size on death or recurrence risk decreased notably with the increase of T stage. More importantly, the discriminative ability of tumor size outperformed any other clinical factors including N stage in patients with T1 colon cancer. Therefore, tumor size should be recommended to be incorporated into current staging systems to facilitate prognosis prediction for patients with T1 colon cancer.

Indexed as

Colonic NeoplasmsNeoplasm Recurrence, LocalChinaHumansKaplan-Meier EstimateNeoplasm StagingPrognosisCancer-specific survivalColon cancerDisease-free survivalT1 stageTumor size

Identifiers

PMID32162825
PMCPMC7066694
OpenAlexW2991224608

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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.