Evidence map›Paper›PMID 32424582›Full record

ArticleAnnals of surgical oncology2020

Association Between Lymph Node Ratio and Survival in Patients with Pathological Stage II/III Gastric Cancer.

Kazuki Kano, Takanobu Yamada, Kouji Yamamoto, Keisuke Komori, Hayato Watanabe, Kentaro Hara, Yota Shimoda, Yukio Maezawa, Hirohito Fujikawa, Toru Aoyama and 11 more

Abstract read
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Article in Annals of surgical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

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

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  16. RATIO OF METASTATIC LYMPH NODES VS. RESECTED LYMPH NODES (N-RATIO) HAS PROGNOSTIC IMPLICATIONS IN GASTRIC CANCER.Arquivos brasileiros de cirurgia digestiva : ABCD = Brazilian archives of digestive surgery · 2024
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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

21 authors.

Kazuki Kano *Department of Gastrointestinal Surgery, Kanagawa Cancer Center, Yokohama, Japan.
Takanobu Yamada *Department of Gastrointestinal Surgery, Kanagawa Cancer Center, Yokohama, Japan.
Kouji YamamotoDepartment of Biostatistics, Yokohama City University, Yokohama, Japan.
Keisuke KomoriDepartment of Gastrointestinal Surgery, Kanagawa Cancer Center, Yokohama, Japan.
Hayato WatanabeDepartment of Gastrointestinal Surgery, Kanagawa Cancer Center, Yokohama, Japan.
Kentaro HaraDepartment of Surgery, Yokohama City University, Yokohama, Japan.
Yota ShimodaDepartment of Gastrointestinal Surgery, Kanagawa Cancer Center, Yokohama, Japan.
Yukio MaezawaDepartment of Surgery, Yokohama City University, Yokohama, Japan.
Hirohito FujikawaDepartment of Gastrointestinal Surgery, Kanagawa Cancer Center, Yokohama, Japan.
Toru AoyamaDepartment of Surgery, Yokohama City University, Yokohama, Japan.
Hiroshi TamagawaDepartment of Surgery, Yokohama City University, Yokohama, Japan.
Naoto YamamotoDepartment of Gastrointestinal Surgery, Kanagawa Cancer Center, Yokohama, Japan.
Haruhiko ChoDepartment of Gastric Surgery, Tokyo Metropolitan Cancer and Infectious Disease Center, Komagome Hospital, Tokyo, Japan.
Manabu ShiozawaDepartment of Gastrointestinal Surgery, Kanagawa Cancer Center, Yokohama, Japan.
Norio YukawaDepartment of Surgery, Yokohama City University, Yokohama, Japan.
Takaki YoshikawaDepartment of Gastric Surgery, National Cancer Center Hospital, Tokyo, Japan.
Soichiro MorinagaDepartment of Gastrointestinal Surgery, Kanagawa Cancer Center, Yokohama, Japan.
Yasushi RinoDepartment of Surgery, Yokohama City University, Yokohama, Japan.
Munetaka MasudaDepartment of Surgery, Yokohama City University, Yokohama, Japan.
Takashi OgataDepartment of Gastrointestinal Surgery, Kanagawa Cancer Center, Yokohama, Japan.
Takashi OshimaDepartment of Gastrointestinal Surgery, Kanagawa Cancer Center, Yokohama, Japan. oshimat@kcch.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLymph node ratio (LNR), defined as the ratio of metastatic nodes to the total number of examined lymph nodes, has been proposed as a sensitive prognostic factor in patients with gastric cancer (GC). We investigate its association with survival in pathological stage (pStage) II/III GC and explore whether this is a prognostic factor in each Union for International Cancer Control pStage (7th edition). PATIENTS AND

methodsWe retrospectively examined 838 patients with pStage II/III GC who underwent curative gastrectomy between June 2000 and December 2018. Patients were classified into low-LNR (L-LNR), middle-LNR (M-LNR), and high-LNR (H-LNR) groups according to adjusted X-tile cutoff values of 0.1 and 0.25 for LNR, and their clinicopathological characteristics and survival rates were compared.

resultsThe 5-year recurrence-free survival (RFS) and overall survival (OS) rates postsurgery showed significant differences among the groups (P < 0.001). Multivariate analysis demonstrated that LNR was a significant predictor of poor RFS [M-LNR: hazard ratio (HR) 3.128, 95% confidence interval (CI) 2.254-4.342, P < 0.001; H-LNR: HR 5.148, 95% CI 3.546-7.474, P < 0.001] and OS (M-LNR: HR 2.749, 95% CI 2.038-3.708, P < 0.001; H-LNR: HR 4.654, 95% CI 3.288-6.588, P < 0.001). On subset analysis stratified by pStage, significant differences were observed between the groups in terms of the RFS curves of pStage II and III GC (P < 0.001 and < 0.001, respectively) and OS curves of pStage II and III GC (P = 0.001 and < 0.001, respectively).

conclusionsHigh LNR is a predictor of worse prognosis in pStage II/III GC, including each substage.

Indexed as

Lymph Node RatioStomach NeoplasmsHumansLymphatic MetastasisLymph Node ExcisionLymph NodesNeoplasm StagingPrognosisRetrospective Studies

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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 OpenQuestion graph.