↓ Skip to main content

Dove Medical Press

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

Overview of attention for article published in Drug Design, Development and Therapy, February 2016
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

patent
1 patent

Readers on

mendeley
16 Mendeley
Title
A clinical prognostic scoring system for resectable gastric cancer to predict survival and benefit from paclitaxel- or oxaliplatin-based adjuvant chemotherapy
Published in
Drug Design, Development and Therapy, February 2016
DOI 10.2147/dddt.s88743
Pubmed ID
Authors

Jing Qian, Yingying Qian, Jian Wang, Bing Gu, Dong Pei, Shaohua He, Fang Zhu, Oluf Dimitri Røe, Jin Xu, Lianke Liu, Yanhong Gu, Renhua Guo, Yongmei Yin, Yongqian Shu, Xiaofeng Chen

Abstract

Gastrectomy 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. A 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. From 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. A 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.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 5 31%
Student > Bachelor 3 19%
Student > Ph. D. Student 2 13%
Researcher 2 13%
Student > Master 1 6%
Other 1 6%
Unknown 2 13%
Readers by discipline Count As %
Medicine and Dentistry 10 63%
Nursing and Health Professions 1 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Unknown 4 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 November 2023.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from Drug Design, Development and Therapy
#641
of 2,268 outputs
Outputs of similar age
#131,434
of 406,429 outputs
Outputs of similar age from Drug Design, Development and Therapy
#28
of 90 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,268 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has gotten more attention than average, scoring higher than 66% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 406,429 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.