Evidence map›Paper›PMID 23712439›Full record

Trial reportGastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association2014

A nomogram for predicting individual survival of patients with gastric cancer who underwent radical surgery with extended lymph node dissection.

Kyo Young Song, Yong Gyu Park, Hae Myung Jeon, Cho Hyun Park

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 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

4 authors.

Kyo Young SongDepartment of Surgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 505 Banpo-dong, Seocho-gu, Seoul, 137-701, Korea, skys9615@gmail.com.
Yong Gyu Park
Hae Myung Jeon
Cho Hyun Park

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe developed and validated a nomogram for use at a high-volume center where radical surgery with extended lymph node dissection is the standard treatment for gastric cancer.

methodsOverall, 1,614 patients were randomly divided into the test set (n = 805) and validation set (n = 809). The scoring system was calculated using a Cox proportional hazard regression model with the survival of gastric cancer as the predicted endpoint. The concordance index (c-index) was used as an accuracy measure, with bootstrapping to correct for optimistic bias. Calibration plots were constructed.

resultsBased on a Cox model, we developed a nomogram that predicts the probability of 3- and 5-year survival from the time of surgery. The bootstrap-corrected c-indices were 0.87 and 0.84 in the test and validation sets, respectively. Survival was well predicted in both sets. The predictions of our nomogram discriminated better than the AJCC staging system (test set: c-index, 0.87 vs. 0.77; P < 0.0001; validation set: c-index, 0.84 vs. 0.79; P < 0.001).

conclusionWe developed and validated a nomogram that provided a significantly accurate prediction of postoperative survival in Korean patients with gastric cancer who underwent radical gastrectomy with extended lymph node dissection.

Indexed as

NomogramsAdultAgedAged, 80 and overFemaleFollow-Up StudiesGastrectomyHumansLymphatic MetastasisLymph Node ExcisionMaleMiddle AgedNeoplasm InvasivenessPrognosisProspective StudiesStomach Neoplasms

Identifiers

PMID23712439

What OpenQuestion holds

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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.