Evidence map›Paper›PMID 25749718›Full record

ArticleGastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association2016

Weight loss at the first month of palliative chemotherapy predicts survival outcomes in patients with advanced gastric cancer.

Chan-Young Ock, Do-Youn Oh, Joongyub Lee, Tae-Yong Kim, Kyung-Hun Lee, Sae-Won Han, Seock-Ah Im, Tae-You Kim, Yung-Jue Bang

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Article in Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Body weight loss as a prognostic and predictive factor in previously treated patients with metastatic gastric cancer: post hoc analyses of the randomized phase III TAGS trial.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2023
    Trial
  4. Article
  5. Function-preserving gastrectomy based on the sentinel node concept prevents osteosarcopenia in patients with gastric cancer.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2025
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  18. Prognostic implication of antitumor immunity measured by the neutrophil-lymphocyte ratio and serum cytokines and angiogenic factors in gastric cancer.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2017
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Chan-Young OckDepartment of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 110-744, Korea.
Do-Youn OhDepartment of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 110-744, Korea. ohdoyoun@snu.ac.kr.
Joongyub LeeMedical Research Collaborating Center, Seoul National University Hospital, Seoul, Korea.
Tae-Yong KimDepartment of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 110-744, Korea.
Kyung-Hun LeeDepartment of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 110-744, Korea.
Sae-Won HanDepartment of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 110-744, Korea.
Seock-Ah ImDepartment of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 110-744, Korea.
Tae-You KimDepartment of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 110-744, Korea.
Yung-Jue BangDepartment of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 110-744, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWeight loss during chemotherapy is a significant prognostic factor for poor survival in patients with advanced gastric cancer (AGC). However, in most studies, weight loss was measured at the end of chemotherapy, limiting its clinical use. In this study, we evaluated whether weight loss during the first month of chemotherapy could predict survival outcomes in patients with AGC.

methodsWe analyzed 719 patients with metastatic or recurrent AGC who were receiving palliative chemotherapy. We calculated the initial body mass index (BMIi), percent weight loss after 1 month of chemotherapy (ΔW 1m), percent weight loss after last administration of chemotherapy (ΔW end), and average weight loss per month during chemotherapy (ΔW/m). We correlated these data with overall survival (OS) by receiver-operating characteristic (ROC) curves and Kaplan-Meier curves, and performed a subgroup analysis using Cox regression.

resultsThe probabilities of longer OS had stronger correlations with ΔW/m and ΔW 1m than with ΔW end or BMIi. A significant positive correlation between ΔW 1m and ΔW/m (r (2) = 0.591, p < 0.001) was observed. Median OS of patients with ΔW 1m more than 3 % was significantly shorter than in patients with less weight loss (OS: 9.7 vs. 16.3 months, p < 0.001). Subgroup analysis revealed that ΔW 1m accompanied poor survival irrespective of other clinical characteristics.

conclusionWeight loss at the very first month of palliative chemotherapy could predict unfavorable survival outcomes in AGC.

Indexed as

AdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsDisease-Free SurvivalFemaleHumansMaleMiddle AgedNeoplasm Recurrence, LocalPrognosisRetrospective StudiesROC CurveStomach NeoplasmsSurvival AnalysisWeight LossChemotherapyGastric cancerPrognostic factorSurvivalWeight loss

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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.