Evidence map›Paper›PMID 31414179›Full record

ArticleLangenbeck's archives of surgery2019

Validation of the prognostic performance in various nodal staging systems for gallbladder cancer: results of a multicenter study.

Woohyung Lee, Chi-Young Jeong, Young Hoon Kim, Young Hoon Roh, Myung Hee Yoon, Hyung Il Seo, Jeong-Ik Park, Bo-Hyun Jung, Dong Hoon Shin, Young Il Choi and 6 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Langenbeck's archives of surgery, 2019. 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.

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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

16 authors.

Woohyung LeeDepartment of Surgery, Gyeongsang National University Hospital, Gyeongsang National University, College of Medicine, 79 Gangnam-ro, Jinju, 660-702, Republic of Korea.
Chi-Young JeongDepartment of Surgery, Gyeongsang National University Hospital, Gyeongsang National University, College of Medicine, 79 Gangnam-ro, Jinju, 660-702, Republic of Korea.
Young Hoon KimDepartment of Surgery, Dong-A University Hospital, Dong-A University, College of Medicine, Busan, Republic of Korea.
Young Hoon RohDepartment of Surgery, Dong-A University Hospital, Dong-A University, College of Medicine, Busan, Republic of Korea.
Myung Hee YoonDepartment of Surgery, Biomedical Research Institute, Pusan National University Hospital, Pusan National University, College of Medicine, Busan, Republic of Korea.
Hyung Il SeoDepartment of Surgery, Biomedical Research Institute, Pusan National University Hospital, Pusan National University, College of Medicine, Busan, Republic of Korea.
Jeong-Ik ParkDepartment of Surgery, Haeundae Paik Hospital, Inje University, College of Medicine, Busan, Republic of Korea.
Bo-Hyun JungDepartment of Surgery, Haeundae Paik Hospital, Inje University, College of Medicine, Busan, Republic of Korea.
Dong Hoon ShinDepartment of Surgery, Kosin University Gospel Hospital, Kosin University, College of Medicine, Busan, Republic of Korea.
Young Il ChoiDepartment of Surgery, Kosin University Gospel Hospital, Kosin University, College of Medicine, Busan, Republic of Korea.
Je Ho RyuDepartment of Surgery, Pusan University Yangsan Hospital, Pusan University, College of Medicine, Busan, Republic of Korea.
Kwang Ho YangDepartment of Surgery, Pusan University Yangsan Hospital, Pusan University, College of Medicine, Busan, Republic of Korea.
Chang Soo ChoiDepartment of Surgery, College of Medicine, Inje University, Busan Paik Hospital, Busan, Republic of Korea.
Yo-Han ParkDepartment of Surgery, College of Medicine, Inje University, Busan Paik Hospital, Busan, Republic of Korea.
Yang Won NahDepartment of Surgery, Ulsan University Hospital, Ulsan University, College of Medicine, Ulsan, Republic of Korea.
Soon-Chan HongDepartment of Surgery, Gyeongsang National University Hospital, Gyeongsang National University, College of Medicine, 79 Gangnam-ro, Jinju, 660-702, Republic of Korea. hongsc@gnu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the current nodal staging system for gallbladder cancer (GBC) was changed based on the number of positive lymph nodes (PLN), it needs to be evaluated in various situations.

methodsWe reviewed the clinical data for 398 patients with resected GBC and compared nodal staging systems based on the number of PLNs, the positive/retrieved LN ratio (LNR), and the log odds of positive LN (LODDS). Prognostic performance was evaluated using the C-index.

resultsSubgroups were formed on the basis of an restricted cubic spline plot as follows: PLN 3 (PLN = 0, 1-2, ≥ 3); PLN 4 (PLN = 0, 1-3, ≥ 4); LNR (LNR = 0, 0-0.269, ≥ 0.27); and LODDS (LODDS < - 0.8, - 0.8-0, ≥ 0). The oncological outcome differed significantly between subgroups in each system. In all patients with GBC, PLN 4 (C-index 0.730) and PLN 3 (C-index 0.734) were the best prognostic discriminators of survival and recurrence, respectively. However, for retrieved LN (RLN) ≥ 6, LODDS was the best discriminator for survival (C-index 0.852).

conclusionThe nodal staging system based on PLN was the optimal prognostic discriminator in patients with RLN < 6, whereas the LODDS system is adequate for RLN ≥ 6. The following nodal staging system considers applying different systems according to the RLN.

Indexed as

Neoplasm StagingAgedCholecystectomyDisease-Free SurvivalFemaleGallbladder NeoplasmsHumansLymph Node ExcisionLymph NodesMaleMiddle AgedPredictive Value of TestsPrognosisProportional Hazards ModelsReproducibility of ResultsRetrospective StudiesGallbladder cancerPrognostic performanceRestricted cubic spline modelStaging system

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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.