Evidence map›Paper›PMID 34697912›Full record

ArticleCancer medicine2021

Lymph node status and its impact on the prognosis of left-sided and right-sided colon cancer: A SEER population-based study.

Yadi Huang, Linlin Ji, Jialong Zhu, Xiaobei Mao, Siqi Sheng, Shuai Hao, Dan Xiang, Jiani Guo, Gongbo Fu, Mengxi Huang and 2 more

Abstract read
In one paragraph

Article in Cancer medicine, 2021. 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.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Lymph node metastasis in T1-2 colorectal cancer: a population-based study.International journal of colorectal disease · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
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

12 authors.

Yadi HuangDepartment of Medical Oncology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, China.
Linlin JiDepartment of Medical Oncology, Jinling Hospital, Medical School of Nanjing University, Nanjing University, Nanjing, China.
Jialong ZhuDepartment of Medical Oncology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, China.
Xiaobei MaoDepartment of Medical Oncology, Jinling Hospital, Medical School of Nanjing University, Nanjing University, Nanjing, China.
Siqi ShengDepartment of Medical Oncology, Jinling Hospital, Medical School of Nanjing University, Nanjing University, Nanjing, China.
Shuai HaoDepartment of General Surgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.
Dan XiangDepartment of Medical Oncology, Jinling Hospital, Nanjing Medical university, Nanjing, China.
Jiani GuoDepartment of Medical Oncology, Jinling Hospital, Nanjing Medical university, Nanjing, China.ORCID 0000-0002-9899-0924
Gongbo FuDepartment of Medical Oncology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, China.ORCID 0000-0002-0318-0348
Mengxi HuangDepartment of Medical Oncology, Jinling Hospital, Medical School of Nanjing University, Nanjing University, Nanjing, China.ORCID 0000-0002-9274-6023
Zengjie LeiDepartment of Medical Oncology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, China.ORCID 0000-0001-8961-3214
Xiaoyuan ChuDepartment of Medical Oncology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSome significant differences exist between the outcomes of left- and right-sided colon cancer patients. The presence of nodal metastases is a critical prognostic factor, especially in the absence of distant metastasis. Our research studied the lymph nodes status of left- and right-sided colon cancer patients to determine the influence of this factor on prognosis.

methodsOur data were obtained from the Surveillance, Epidemiology and End Results (SEER) database. We used the chi-square test to analyze the clinicopathological characteristics. The X-tile program was adopted to acquire optimal cutoff points of lymph node index. Kaplan-Meier curves were used to analyze prognosis and multivariate Cox regression models were performed to identify the independent factors associated with survival. Nomograms were built to predict the overall survival of patients, Harrell's C-index and calibration plots were used to validate the nomograms.

resultsThe study included 189,941 patients with colon cancer without metastasis (left 69,885, right 120,056) between 2004 and 2015. There are more patients with adequate examined lymph nodes in right-sided. Lymph node status in patients with right colon cancer has a more significant impact on the risk of death. LODDS (C-index: 0.583; AIC: 6875.4) was used to assess lymph node status. The nomograms showed that lymph node status was the main factor to predict the outcome in right-sided colon patients.

conclusionsThe influence of lymph node status on predicting prognosis is significantly different between patients with left and right colon cancer without metastasis. The tumor site needs to be considered when lymph node status is used to assess the outcome of patients.

Indexed as

AgedChinaColonic NeoplasmsFemaleHumansKaplan-Meier EstimateLymphatic MetastasisMaleMiddle AgedPrognosisRisk FactorsSEER Programleft-sided colon cancerlymph node statusnomogramprognosisright-sided colon cancer

Identifiers

PMID34697912
PMCPMC8633222

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.