| Title |
The prognostic nutritional index (PNI) predicts overall survival of small-cell lung cancer patients
|
|---|---|
| Published in |
Tumor Biology, December 2014
|
| DOI | 10.1007/s13277-014-2973-y |
| Pubmed ID | |
| Authors |
Shaodong Hong, Ting Zhou, Wenfeng Fang, Cong Xue, Zhihuang Hu, Tao Qin, Yanna Tang, Yue Chen, Yuxiang Ma, Yunpeng Yang, Xue Hou, Yan Huang, Hongyun Zhao, Yuanyuan Zhao, Li Zhang |
| Abstract |
Recent studies have shown the prognostic nutritional index (PNI) had prognostic value in some solid tumors. However, no studies have examined its prognostic role in small-cell lung cancer (SCLC) patients. In this retrospective study, 724 consecutive SCLC patients were included between 2006 and 2013. Demographic, clinical, and laboratory data were collected. The PNI was calculated as 10 × serum albumin value (g/dl) + 0.005 × peripheral lymphocyte count (per mm(3)). Univariate and multivariate analyses were performed to assess the prognostic value of relevant factors. The optimal cut-off value of PNI for OS stratification was determined to be 52.48. A total of 464 and 260 patients were assigned to low and high PNI groups, respectively. Compared with low PNI, high PNI was associated with older age, advanced stage, and elevated lactate dehydrogenase (LDH). Median overall survival (OS) was worse in the low PNI group (low vs high, 15.90 vs 25.27 months; HR, 0.62; p < 0.001). In multivariate analysis, stage, performance status, LDH, and PNI were independent prognostic factors for OS. Subgroup analysis showed PNI was generally a significant prognostic factor in different clinical situations. The assessment of PNI could assist the identification of patients with poor prognosis and be a hierarchical factor in the future SCLC clinical trials. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 14% |
| Student > Bachelor | 4 | 11% |
| Student > Doctoral Student | 3 | 9% |
| Other | 3 | 9% |
| Researcher | 3 | 9% |
| Other | 8 | 23% |
| Unknown | 9 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 37% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
| Sports and Recreations | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 5 | 14% |
| Unknown | 11 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 30 January 2015.
All research outputs
#14,665,302
of 22,775,504 outputs
Outputs from Tumor Biology
#959
of 2,622 outputs
Outputs of similar age
#195,627
of 353,184 outputs
Outputs of similar age from Tumor Biology
#55
of 166 outputs
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