Evidence map›Paper›PMID 26966350›Full record

ArticleDrug design, development and therapy2016

A clinical prognostic scoring system for resectable gastric cancer to predict survival and benefit from paclitaxel- or oxaliplatin-based adjuvant chemotherapy.

Jing Qian, Yingying Qian, Jian Wang, Bing Gu, Dong Pei, Shaohua He, Fang Zhu, Oluf Dimitri Røe, Jin Xu, Lianke Liu and 5 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Drug design, development and therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
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  9. Proposal for a clinicopathological prognostic score for resected gastric cancer patients.Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association
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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

15 authors at 4 institutions in 4 countries.

Jing QianDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Xuzhou, People's Republic of China.
Yingying QianDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Xuzhou, People's Republic of China.
Jian WangDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Xuzhou, People's Republic of China.
Bing GuDepartment of Laboratory Medicine, The Affiliated Hospital of Xuzhou Medical College, Xuzhou, People's Republic of China; Medical Technology Institute, Xuzhou Medical College, Xuzhou, People's Republic of China.
Dong PeiDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Xuzhou, People's Republic of China.
Shaohua HeDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Xuzhou, People's Republic of China.
Fang ZhuDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Xuzhou, People's Republic of China.
Oluf Dimitri RøeDepartment of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology (NTNU), Trondheim, Norway; Department of Oncology, Clinical Cancer Research Center, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University Hospital, Aalborg, Denmark; Department of Surgery, Cancer Clinic, Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway.
Jin XuDepartment of Molecular Cell Biology and Toxicology, Jiangsu Key Lab of Cancer Biomarkers, Prevention & Treatment, Cancer Center, Nanjing Medical University, Nanjing, People's Republic of China.
Lianke LiuDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Xuzhou, People's Republic of China.
Yanhong GuDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Xuzhou, People's Republic of China.
Renhua GuoDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Xuzhou, People's Republic of China.
Yongmei YinDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Xuzhou, People's Republic of China.
Yongqian ShuDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Xuzhou, People's Republic of China.
Xiaofeng ChenDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Xuzhou, People's Republic of China.
Nanjing Medical University · CNAalborg University Hospital · DKAffiliated Hospital of Xuzhou Medical College · CNNorwegian University of Science and Technology · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastrectomy with D2 lymphadenectomy is a standard procedure of curative resection for gastric cancer (GC). The aim of this study was to develop a simple and reliable prognostic scoring system for GC treated with D2 gastrectomy combined with adjuvant chemotherapy.

methodsA prognostic scoring system was established based on clinical and laboratory data from 579 patients with localized GC without distant metastasis treated with D2 gastrectomy and adjuvant chemotherapy.

resultsFrom the multivariate model for overall survival (OS), five factors were selected for the scoring system: ≥50% metastatic lymph node rate, positive lymphovascular invasion, pathologic TNM Stage II or III, ≥5 ng/mL preoperative carcinoembryonic antigen level, and <110 g/L preoperative hemoglobin. Two models were derived using different methods. Model A identified low- and high-risk patients for OS (P<0.001), while Model B differentiated low-, intermediate-, and high-risk patients for OS (P<0.001). Stage III patients in the low-risk group had higher survival probabilities than Stage II patients. Both Model A (area under the curve [AUC]: 0.74, 95% confidence interval [CI]: 0.69-0.78) and Model B (AUC: 0.79, 95% CI: 0.72-0.83) were better predictors compared with the pathologic TNM classification (AUC: 0.62, 95% CI: 0.59-0.71, P<0.001). Adjuvant paclitaxel- or oxaliplatin-based or triple chemotherapy showed significantly better outcomes in patients classified as high risk, but not in those with low and intermediate risk.

conclusionA clinical three-tier prognostic risk scoring system was established to predict OS of GC treated with D2 gastrectomy and adjuvant chemotherapy. The potential advantage of this scoring system is that it can identify high-risk patients in Stage II or III who may benefit from paclitaxel- or oxaliplatin-based regimens. Prospective studies are needed to confirm these results before they are applied clinically.

Indexed as

AdolescentAdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsChemotherapy, AdjuvantFemaleGastrectomyHumansMaleMiddle AgedNeoplasm StagingOrganoplatinum CompoundsOxaliplatinPaclitaxelPrognosisOrganoplatinum CompoundsOxaliplatinPaclitaxelgastric carcinomaoxaliplatinpaclitaxelprognostic factorTNM classification

Identifiers

PMID26966350
PMCPMC4771399
OpenAlexW2275923713

What OpenQuestion holds

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Registered trials

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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.