Evidence map›Paper›PMID 38772985›Full record

ArticleDiscover oncology2024

A novel conditional survival nomogram for monitoring real-time prognosis of non-metastatic colorectal cancer.

Pei Luo, Ying-Ying Li, Can Huang, Jun Guo, Xin Yao

Abstract read
In one paragraph

Article in Discover oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Pei Luo *Department of Gastroenterology, People's Hospital of Qianxinan Prefecture, Xingyi, Guizhou, 562400, China. 20221868@kmmu.edu.cn.
Ying-Ying Li *Department of Gerontology, People's Hospital of Qianxinan Prefecture, Xingyi, Guizhou, 562400, China.
Can HuangDepartment of Gastroenterology, People's Hospital of Qianxinan Prefecture, Xingyi, Guizhou, 562400, China.
Jun GuoDepartment of Gastroenterology, People's Hospital of Qianxinan Prefecture, Xingyi, Guizhou, 562400, China.
Xin YaoDepartment of Gastroenterology, People's Hospital of Qianxinan Prefecture, Xingyi, Guizhou, 562400, China.

Funding

Guizhou Province Qianxinan Prefecture Science and Technology Plan Project 2023-3-30
6 · The paper itself

Abstract

aimsThe aim of this study is to enhance the accuracy of monitoring and treatment information for patients diagnosed with colorectal cancer (CRC).

methodsUtilizing the Surveillance, Epidemiology, and End Results (SEER) database, a cohort of 335,948 eligible CRC patients was included in this investigation. Conditional survival probability and actuarial overall survival were employed as methodologies to investigate the association between clinicopathological characteristics and cancer prognosis.

resultsAmong CRC patients, the 5-year survival rate was 59%, while the 10-year survival rate was 42%. Over time, conditional survival showed a consistent increase, with rates reaching 45% and 48% for individuals surviving 1 and 2 years, respectively. Notably, patients with unfavorable tumor stages exhibited substantial improvements in conditional survival, thereby narrowing the disparity with actuarial overall survival over time.

conclusionThis study underscores the significance of time-dependent conditional survival probability, particularly for patients with a poorer prognosis. The findings suggest that long-term CRC survivors may experience improved cancer prognosis over time.

Indexed as

Cancer prognosisColorectal cancerConditional survival nomogramSEER database

Identifiers

PMID38772985
PMCPMC11109079

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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.