Evidence map›Paper›PMID 29058376›Full record

ArticleCancer medicine2017

Prognostic role of tumor necrosis in patients undergoing curative resection for gastric gastrointestinal stromal tumor: a multicenter analysis of 740 cases in China.

Xuechao Liu, Haibo Qiu, Peng Zhang, Xingyu Feng, Tao Chen, Yong Li, Kaixiong Tao, Guoxin Li, Xiaowei Sun, Zhiwei Zhou and 1 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Cancer medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% of its field
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

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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

11 authors at 4 institutions in 1 country.

Xuechao LiuSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China.
Haibo QiuSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China.
Peng ZhangDepartment of General Surgery, Union Hospital Tongji Medical College Huazhong University of Science and Technology, Wuhan, China.
Xingyu FengDepartment of General Surgery, Guangdong General Hospital, Guangzhou, China.
Tao ChenDepartment of General Surgery, Southern Medical University Nanfang Hospital, Guangzhou, China.
Yong LiDepartment of General Surgery, Guangdong General Hospital, Guangzhou, China.
Kaixiong TaoDepartment of General Surgery, Union Hospital Tongji Medical College Huazhong University of Science and Technology, Wuhan, China.
Guoxin LiDepartment of General Surgery, Southern Medical University Nanfang Hospital, Guangzhou, China.
Xiaowei SunSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China.ORCID http://orcid.org/0000-0001-9586-0756
Zhiwei ZhouSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China.ORCID http://orcid.org/0000-0003-1338-1220
China Gastrointestinal Stromal Tumor Study Group (CN-GIST)
Sun Yat-sen University · CNGuangdong General Hospital · CNNanfang Hospital · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor necrosis is associated with poor clinical outcomes in many malignancies. We aimed to determine whether tumor necrosis was an independent predictor of outcomes in gastric gastrointestinal stromal tumors (GISTs). We retrospectively analyzed data from 740 patients undergoing curative resection for gastric GIST at four centers between 2001 and 2015. Disease-free survival (DFS) was estimated with the Kaplan-Meier method, and associations with prognosis were assessed with Cox regression models. Tumor necrosis was present in 122 cases (16.5%). The prevalence of tumor necrosis increased with higher risk-stratification, including 0.7%, 7.4%, 17.3%, and 39.3% for very low-, low-, intermediate- and high-risk tumors, respectively (P < 0.001). Tumor necrosis was associated with aggressive tumor biology, such as larger tumor size, higher mitotic index, tumor rupture, and presence of nuclear atypia (all P < 0.05). Multivariate analysis revealed that tumor necrosis was an independent predictor of unfavorable DFS (HR: 2.641; 95% CI: 1.359-5.131; P = 0.004). When stratified by the modified National Institutes of Health (NIH) classification, tumor necrosis still independently predicted DFS in high-risk patients (P = 0.001) but not in non-high-risk patients (P = 0.349). The 5-year DFS rate in high-risk patients with and without tumor necrosis was 56.5% and 82.9%, respectively (P = 0.004). Notably, the prognostic significance of tumor necrosis was maintained when the patients were stratified by age, sex, tumor location, tumor size, and mitotic index (All P < 0.05). Tumor necrosis is a useful predictor of outcomes in gastric GIST, especially in high-risk patients. Based on these results, we recommend that the current NIH classification should be further improved and expanded to include tumor necrosis as a valuable prognostic indicator.

Indexed as

GastrectomyAdultAgedAged, 80 and overAge FactorsChinaChi-Square DistributionDisease-Free SurvivalDisease ProgressionFemaleGastrointestinal Stromal TumorsHumansKaplan-Meier EstimateMaleMiddle AgedMitotic IndexGastrointestinal stromal tumornuclear atypiaprognosistumor necrosis

Identifiers

PMID29058376
PMCPMC5727342
OpenAlexW2765361078

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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 OpenQuestion graph.