Evidence map›Paper›PMID 33407177›Full record

ArticleBMC gastroenterology2021

Central lymph node metastasis is predictive of survival in advanced gastric cancer patients treated with D2 lymphadenectomy.

Huiwen Lu, Bochao Zhao, Rui Huang, Yimeng Sun, Zirui Zhu, Huimian Xu, Baojun Huang

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC gastroenterology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Nomenclature and Lymphatic Drainage Patterns of Abdominal Lymph Nodes.Journal of the Korean Society of Radiology · 2022
    Review
  7. Article
  8. Article
  9. 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

7 authors at 3 institutions in 1 country.

Huiwen LuDepartment of Surgical Oncology, First Affiliated Hospital of China Medical University, No. 155 Nanjing North Street, Heping District, Shenyang, 110001, People's Republic of China.
Bochao ZhaoDepartment of Surgical Oncology, First Affiliated Hospital of China Medical University, No. 155 Nanjing North Street, Heping District, Shenyang, 110001, People's Republic of China.
Rui HuangDepartment of Clinical Medicine of Year 2017, Dalian Medical University, Dalian, People's Republic of China.
Yimeng SunDepartment of Surgical Oncology, First Affiliated Hospital of China Medical University, No. 155 Nanjing North Street, Heping District, Shenyang, 110001, People's Republic of China.
Zirui ZhuDepartment of Surgical Oncology, First Affiliated Hospital of China Medical University, No. 155 Nanjing North Street, Heping District, Shenyang, 110001, People's Republic of China.
Huimian XuDepartment of Surgical Oncology, First Affiliated Hospital of China Medical University, No. 155 Nanjing North Street, Heping District, Shenyang, 110001, People's Republic of China.
Baojun HuangDepartment of Surgical Oncology, First Affiliated Hospital of China Medical University, No. 155 Nanjing North Street, Heping District, Shenyang, 110001, People's Republic of China. luhuiwen1995@163.com.ORCID http://orcid.org/0000-0002-8019-1630
China Medical University · CNDalian Medical University · CNFirst Hospital of China Medical University · CN

Funding

Natural Science Foundation of Liaoning Province (CN) NO. 20180530026
6 · The paper itself

Abstract

backgroundThe number of positive lymph nodes, which was defined as "N stage", is mostly used to predict the survival of D2-resected gastric cancer patients, not the location. A "central lymph node" (CnLN) was defined by Ikoma et al., included common hepatic, celiac and proximal splenic artery LNs. CnLNs located in the extraperigastric area are included in the D2 LN station for gastric cancer. We speculate that CnLNs can be regarded as a predictor of survival.

methodsEligible advanced gastric cancer patients who underwent curative resection and D2 lymph node dissection between 2004 and 2012 at our institution were identified. The frequency of CnLN metastases and risk factors affecting DFS were examined. Survival differences were assessed by log-rank tests and Kaplan-Meier curves.

resultsThe study identified 1178 patients who underwent curative surgery or D2 or more extensive lymphadenectomy. A total of 342 patients had been proven to have CnLN metastasis. Larger tumor size (P < 0.001), more frequent lymphatic vessel invasion (P < 0.001), signet ring cell histology (P = 0.014), and more advanced pathological T stage (P = 0.013) were significantly related to CnLNs metastasis. The patients with CnLN metastasis had a poor prognosis (HR for DFS of 1.366, 95%CI = 1.138-1.640, P = 0.001). For the pN2/3 patients, CnLN metastasis was associated with shorter 5-year DFS (for pN2 patients: 25.9% vs 39.3%, P = 0.017; for pN3 patients: 11.5% vs 23.4%, P = 0.005).

conclusionGastric cancer patients with CnLN metastasis who underwent D2 resection had a poor prognosis. With the same N stage, the patients with positive CnLNs had shorter survival. CnLNs metastasis could be a supplement to N stage and a predictor of survival in gastric cancer patients. Large sample, multicenter, randomized clinical trials are still needed in the future.

Indexed as

Stomach NeoplasmsGastrectomyHumansLymphatic MetastasisLymph Node ExcisionLymph NodesNeoplasm StagingPrognosisRetrospective StudiesD2 lymphadenectomyGastric cancerLymph node metastasisSurvival

Identifiers

PMID33407177
PMCPMC7789278
OpenAlexW3118835265

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.