| Title |
Multi-center study finds postoperative residual non-enhancing component of glioblastoma as a new determinant of patient outcome
|
|---|---|
| Published in |
Journal of Neuro-Oncology, April 2018
|
| DOI | 10.1007/s11060-018-2850-4 |
| Pubmed ID | |
| Authors |
Aikaterini Kotrotsou, Ahmed Elakkad, Jia Sun, Ginu A. Thomas, Dongni Yang, Srishti Abrol, Wei Wei, Jeffrey S. Weinberg, Ali S. Bakhtiari, Moritz F. Kircher, Markus M. Luedi, John F. de Groot, Raymond Sawaya, Ashok J. Kumar, Pascal O. Zinn, Rivka R. Colen |
| Abstract |
The aim of the present study is to assess whether postoperative residual non-enhancing volume (PRNV) is correlated and predictive of overall survival (OS) in glioblastoma (GBM) patients. We retrospectively analyzed a total 134 GBM patients obtained from The University of Texas MD Anderson Cancer Center (training cohort, n = 97) and The Cancer Genome Atlas (validation cohort, n = 37). All patients had undergone postoperative magnetic resonance imaging immediately after surgery. We evaluated the survival outcomes with regard to PRNV. The role of possible prognostic factors that may affect survival after resection, including age, sex, preoperative Karnofsky performance status, postoperative nodular enhancement, surgically induced enhancement, and postoperative necrosis, was investigated using univariate and multivariate Cox proportional hazards regression analyses. Additionally, a recursive partitioning analysis (RPA) was used to identify prognostic groups. Our analyses revealed that a high PRNV (HR 1.051; p-corrected = 0.046) and old age (HR 1.031; p-corrected = 0.006) were independent predictors of overall survival. This trend was also observed in the validation cohort (higher PRNV: HR 1.127, p-corrected = 0.002; older age: HR 1.034, p-corrected = 0.022). RPA analysis identified two prognostic risk groups: low-risk group (PRNV < 70.2 cm3; n = 55) and high-risk group (PRNV ≥ 70.2 cm3; n = 42). GBM patients with low PRNV had a significant survival benefit (5.6 months; p = 0.0037). Our results demonstrate that high PRNV is associated with poor OS. Such results could be of great importance in a clinical setting, particularly in the postoperative management and monitoring of therapy. |
X Demographics
The data shown below were collected from the profiles of 24 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 | 14 | 58% |
| Ecuador | 1 | 4% |
| Italy | 1 | 4% |
| Spain | 1 | 4% |
| United Kingdom | 1 | 4% |
| Unknown | 6 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 58% |
| Scientists | 7 | 29% |
| Science communicators (journalists, bloggers, editors) | 2 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 22% |
| Other | 6 | 11% |
| Researcher | 6 | 11% |
| Student > Doctoral Student | 5 | 9% |
| Student > Postgraduate | 4 | 7% |
| Other | 8 | 15% |
| Unknown | 13 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 41% |
| Neuroscience | 7 | 13% |
| Computer Science | 3 | 6% |
| Engineering | 2 | 4% |
| Physics and Astronomy | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 16 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 13 February 2019.
All research outputs
#2,491,420
of 24,840,108 outputs
Outputs from Journal of Neuro-Oncology
#153
of 3,177 outputs
Outputs of similar age
#51,399
of 334,267 outputs
Outputs of similar age from Journal of Neuro-Oncology
#6
of 97 outputs
Altmetric has tracked 24,840,108 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,177 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 95% 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 334,267 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.