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X Demographics
Mendeley readers
| Title |
Prognostic role of ABO blood type in patients with extranodal natural killer/T cell lymphoma, nasal type: a triple‐center study
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|---|---|
| Published in |
Cancer Communications, July 2017
|
| DOI | 10.1186/s40880-017-0229-0 |
| Pubmed ID | |
| Authors |
Ya-Jun Li, Ping-Yong Yi, Ji-Wei Li, Xian-Ling Liu, Tian Tang, Pei-Ying Zhang, Wen-Qi Jiang |
| Abstract |
The prognostic significance of ABO blood type for lymphoma is largely unknown. We evaluated the prognostic role of ABO blood type in patients with extranodal natural killer (NK)/T-cell lymphoma (ENKTL). We retrospectively analyzed clinical data of 697 patients with newly diagnosed ENKTL from three cancer centers. The prognostic value of ABO blood type was evaluated using Kaplan-Meier curves and Cox proportional hazard models. The prognostic values of the International Prognostic Index (IPI) and the Korean Prognostic Index (KPI) were also evaluated. Compared with patients with blood type O, those with blood type non-O tended to display elevated baseline serum C-reactive protein levels (P = 0.038), lower rate of complete remission (P = 0.005), shorter progression-free survival (PFS, P < 0.001), and shorter overall survival (OS, P = 0.001). Patients with blood type O/AB had longer PFS (P < 0.001) and OS (P = 0.001) compared with those with blood type A/B. Multivariate analysis demonstrated that age >60 years (P < 0.001), mass ≥5 cm (P = 0.001), stage III/IV (P < 0.001), elevated serum lactate dehydrogenase (LDH) levels (P = 0.001), and blood type non-O were independent adverse predictors of OS (P = 0.001). ABO blood type was found to be superior to both the IPI in discriminating patients with different outcomes in the IPI low-risk group and the KPI in distinguishing between the intermediate-to-low- and high-to-intermediate-risk groups. ABO blood type was an independent predictor of clinical outcome for patients with ENKTL. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 45% |
| Unspecified | 2 | 18% |
| Student > Ph. D. Student | 1 | 9% |
| Lecturer | 1 | 9% |
| Student > Postgraduate | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 1 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 3 | 27% |
| Medicine and Dentistry | 3 | 27% |
| Unspecified | 2 | 18% |
| Materials Science | 1 | 9% |
| Biochemistry, Genetics and Molecular Biology | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 1 | 9% |