Evidence map›Paper›PMID 40813992›Full record

ArticleEuropean journal of medical research2025

Optimal number of the examined lymph nodes for different N stages in colorectal cancer.

Ye Tian, Xinyu Qiao, Gaozan Zheng, Hanjun Dan, Xinyu Dou, Guangming Ren, Liaoran Niu, Pengfei Wang, Siyuan Wang, Fengsu Wu and 3 more

Abstract read
In one paragraph

Article in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Prognostic factors of non-metastatic right colon adenocarcinoma: A multicentre retrospective analysis from the ATCCR database.Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland · 2026
    Observational
  2. Review
  3. Article
  4. 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

13 authors.

Ye Tian *Department of Digestive Surgery, Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, 710032, China.
Xinyu Qiao *Department of Digestive Surgery, Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, 710032, China.
Gaozan Zheng *Department of Digestive Surgery, Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, 710032, China.
Hanjun DanDepartment of Gastroenterology, The 989, Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army, Pingdingshan, 467000, Henan Province, China.
Xinyu DouDepartment of Digestive Surgery, Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, 710032, China.
Guangming RenDepartment of General Surgery, Air Force 986(Th) Hospital, Air Force Medical University, Xi'an, 710054, China.
Liaoran NiuDepartment of Digestive Surgery, Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, 710032, China.
Pengfei WangDepartment of Digestive Surgery, Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, 710032, China.
Siyuan WangDepartment of Digestive Surgery, Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, 710032, China.
Fengsu WuDepartment of Digestive Surgery, Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, 710032, China.
Yumao YangDepartment of Digestive Surgery, Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, 710032, China.
Jianyong ZhengDepartment of Digestive Surgery, Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, 710032, China. zhjy68@163.com.
Fan FengDepartment of Digestive Surgery, Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, 710032, China. surgeonfengfan@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The National Comprehensive Cancer Network (NCCN) recommends that at least 12 lymph nodes (LNs) should be harvested during radical surgery of colorectal cancer (CRC). This study aims to clarify the optimal number of LNs that should be examined during the radical surgery for CRC patients with each N stage. The SEER database (n = 48,331) served as the primary cohort, while the Xijing cohort (n = 4447) was used for external validation. A Cox proportional hazards regression model was employed to evaluate risk factors associated with overall survival (OS) in CRC. Moreover, the restricted cubic splines (RCS) method was used to detect inflection points within the risk function and to investigate the correlation between the number of examined lymph nodes (ELNs) and OS. Ultimately, the optimal number of ELNs for patients at different N stages was determined and verified. The analyses from both databases consistently indicated that a higher number of ELNs is an independent prognostic factor for the OS of patients with CRC. 18 and 19 are identified as the optimal numbers of ELNs for N0, N1a, and N1b, N2a stages, respectively. The Kaplan-Meier analysis revealed that there was a statistical difference in the OS between patients in the limited group and those in the adequate group among the neighboring N subgroups. For CRC patients with different N stages, the number of LNs that needs to be cleared varies. Number of ELNs exceeded 18, 18, 19 and 19 could significantly improve the prognosis of patients with N0, N1a, N1b and N2a stages, respectively.

Indexed as

Colorectal NeoplasmsLymph Node ExcisionLymph NodesAdultAgedFemaleHumansKaplan-Meier EstimateLymphatic MetastasisMaleMiddle AgedNeoplasm StagingPrognosisProportional Hazards ModelsSEER ProgramColorectal cancerLymph nodesPrognosis

Identifiers

PMID40813992
PMCPMC12351765

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.