Evidence map›Paper›PMID 40217295›Full record

ArticleWorld journal of surgical oncology2025

Defining Optimal Lymph Node Yield in Gastrectomy: A Real-World Cohort Analysis.

Rui Li, Xu Sun, Zhiyuan Yu, Xiangchao Zhu, Xudong Zhao, Peiyu Li, Na Liu

Abstract read
In one paragraph

Article in World journal of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Rui Li *School of Medicine, Nankai University, Tianjin, China.
Xu Sun *School of Medicine, Nankai University, Tianjin, China.
Zhiyuan Yu *School of Medicine, Nankai University, Tianjin, China.
Xiangchao ZhuDepartment of Gastrointestinal Surgery, Zibo Central Hospital, Zibo, China.
Xudong ZhaoDepartment of General Surgery, The First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China.
Peiyu LiSchool of Medicine, Nankai University, Tianjin, China. lipeiyu6301@163.com.
Na LiuDepartment of General Surgery, The First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China. kathyfriend@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastric cancer (GC) has a high global mortality and incidence rate. Lymph node (LN) invasion is crucial in TNM staging, and an accurate LN staging system is vital for treatment decisions. However, the appropriate number of examined LNs remains uncertain.

methodsWe retrospectively analyzed consecutive GC patients who underwent gastrectomy at the First Medical Center of the Chinese PLA General Hospital from January 2010 to December 2023. A new statistical model based on the β-binomial distribution and maximum likelihood method in R software was employed to calculate false-negative probabilities.

resultsA total of 6463 GC patients were included. For cT1 patients, even with only five LNs excised, the likelihood of encountering occult positive LNs remained below 5%. For cT2 patients, 17 nodes were needed to rule out occult nodal disease with 90% confidence. While for cT3 and cT4 patients, even after the removal of 35 LNs, the likelihood of overlooking a positive node was still above 20%. Considering surgical extent, 25 nodes were required for patients who underwent proximal gastrectomy or distal gastrectomy to rule out occult nodal disease with 90% confidence, whereas those who received entire gastrectomy needed 59 nodes to achieve the same level of confidence.

conclusionOur study establishes a novel quantitative framework linking LN harvest thresholds to false-negative metastasis risk in GC, derived from real-world clinicopathological data.

Indexed as

GastrectomyLymph Node ExcisionLymph NodesStomach NeoplasmsAdultAgedFemaleFollow-Up StudiesHumansLymphatic MetastasisMaleMiddle AgedNeoplasm StagingPrognosisRetrospective StudiesFalse-negativeGastric cancerLymph nodeNodal staging systemΒ-binomial distribution

Identifiers

PMID40217295
PMCPMC11992801

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.