Evidence map›Paper›PMID 34307118›Full record

ArticleFrontiers in oncology2021

Clinical Features and Risk Factors for Lymph Node Metastasis in Early Signet Ring Cell Gastric Cancer.

Xiaoliang Jin, Wei Wu, Jing Zhao, Shuang Song, Chunli Zhang, Wenyong Sun, Bin Lv

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

7 authors at 2 institutions in 1 country.

Xiaoliang JinDepartment of Gastroenterology, First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Wei WuDepartment of Pathology, Zhejiang Cancer Hospital, Hangzhou, China.
Jing ZhaoDepartment of Gastroenterology, First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Shuang SongDepartment of Pathology, First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Chunli ZhangDepartment of Pathology, First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Wenyong SunDepartment of Pathology, Zhejiang Cancer Hospital, Hangzhou, China.
Bin LvDepartment of Gastroenterology, First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Zhejiang Chinese Medical University · CNZhejiang Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Signet ring cell carcinoma (SRCC) was previously thought to have a worse prognosis than differentiated gastric carcinoma (DC). However, recent studies have shown that its prognosis is related to staging. Here, we analyzed the clinicopathological features and the rate of lymph node metastasis (LNM) in 2166 patients with gastric cancer (605 early and 1561 advanced cases) who underwent gastrectomy and lymph node dissection (D2) from 2016 to 2019. The LNM rate for early and advanced cases was 18.0% and 74.2%, respectively. Regarding early cases, the LNM rate in SRCC was similar to that in DC (10%

Indexed as

clinical featuresearly gastric cancerendoscopic submucosal dissection (ESD)lymph node metastasissignet ring cell carcinoma

Identifiers

PMID34307118
PMCPMC8302221
OpenAlexW3181877341

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.