Evidence map›Paper›PMID 39427177›Full record

ArticleBMC gastroenterology2024

Lymph node ratio is a prognostic indicator for locally advanced gastric cancer after neoadjuvant immunochemotherapy.

Pei Zhou, Xiong Sun, Liwu Zeng, Xinyu Zeng, Gengchen Xie, Xinghua Liu, Kaixiong Tao, Peng Zhang

Abstract read
In one paragraph

Article in BMC gastroenterology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
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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

8 authors.

Pei Zhou *Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan, Hubei Province, 430022, China.
Xiong Sun *Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan, Hubei Province, 430022, China.
Liwu ZengDepartment of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan, Hubei Province, 430022, China.
Xinyu ZengDepartment of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan, Hubei Province, 430022, China.
Gengchen XieDepartment of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan, Hubei Province, 430022, China.
Xinghua LiuDepartment of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan, Hubei Province, 430022, China.
Kaixiong TaoDepartment of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan, Hubei Province, 430022, China. kaixiongtao@hust.edu.cn.
Peng ZhangDepartment of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan, Hubei Province, 430022, China. zhangpeng_xt@hust.edu.cn.

Funding

National Natural Science Foundation of China 82102299National Natural Science Foundation of China 82373123
6 · The paper itself

Abstract

objectiveThe efficacy of lymph node ratio (LNR) as a prognostic indicator in locally advanced gastric cancer (LAGC) patients underwent radical resection after neoadjuvant immunochemotherapy (NICT) remains to be demonstrated. The objective of the current retrospective study is to investigate the relationship between LNR and survival in patients with LAGC who underwent radical resection after NICT.

methodsA retrospective analysis was performed on 121 cases of LAGC in patients underwent radical resection after NICT between July 2020 and October 2023. The LNR values of the patients were divided into two groups using X-tile software. The first group, designated the low LNR group, comprised patients with LNR values of ≤ 33%. The second group, designated the high LNR group, comprised patients with LNR values of > 33%. The correlation between patient survival rates and a range of clinical and pathological variables was examined.

resultsOverall, 121 patients were enrolled: 108 with low-LNR (LNR ≤ 33%) and 13 with high-LNR (LNR > 33%). A better 2-year overall survival (OS) (88.5% vs. 32.6%; p < 0.001) and progression-free survival (PFS) (80.2% vs. 23.5%; p < 0.001) were observed in patients with low LNR. A similar result was also found in those with non-pathological complete response group (non-pCR), where the 2-year OS was 87.2% vs. 32.6% (p < 0.001), and the 2-year PFS was 77.7% vs. 23.5% (p < 0.001). Compared to the pathologic lymph nodes staging (ypN), LNR exhibited similar prognostic capabilities for OS and PFS. Multivariate analysis indicated that LNR was an independent prognostic factor for both OS (HR 6.258, 95% CI 1.798-21.778; p = 0.004) and PFS (HR 3.431, 95% CI 1.341-8.780; p = 0.010), but not ypN.

conclusionsLNR may serve as a viable indicator for prognostication in LAGC patients treated with NICT.

Indexed as

Lymph Node RatioNeoadjuvant TherapyStomach NeoplasmsAdultAgedFemaleGastrectomyHumansImmunotherapyLymphatic MetastasisLymph NodesMaleMiddle AgedPrognosisRetrospective StudiesSurvival RateGastric cancer,pathological complete responseLymph node ratioNeoadjuvant immunochemotherapyPathological complete response

Identifiers

PMID39427177
PMCPMC11491005

What Socratic holds

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LicenceCC BY-NC-ND
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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.