| Title |
Implications of the Pattern of Disease Recurrence on Survival Following Pancreatectomy for Pancreatic Ductal Adenocarcinoma
|
|---|---|
| Published in |
Annals of Surgical Oncology, June 2018
|
| DOI | 10.1245/s10434-018-6558-7 |
| Pubmed ID | |
| Authors |
Vincent P. Groot, Georgios Gemenetzis, Alex B. Blair, Ding Ding, Ammar A. Javed, Richard A. Burkhart, Jun Yu, Inne H. Borel Rinkes, I. Quintus Molenaar, John L. Cameron, Elliot K. Fishman, Ralph H. Hruban, Matthew J. Weiss, Christopher L. Wolfgang, Jin He |
| Abstract |
After radical resection of pancreatic ductal adenocarcinoma (PDAC), approximately 80% of patients will develop disease recurrence. It remains unclear to what extent the location of recurrence carries prognostic significance. Additionally, stratifying the pattern of recurrence may lead to a deeper understanding of the heterogeneous biological behavior of PDAC. The aim of this study was to characterize the relationship of recurrence patterns with survival in patients with resected PDAC. This single-center cohort study included patients undergoing pancreatectomy at the Johns Hopkins Hospital between 2000 and 2013. Exclusion criteria were neoadjuvant therapy and incomplete follow-up. Sites of first recurrence were stratified into five groups and survival outcomes were estimated using Kaplan-Meier curves. The association of specific recurrence locations with overall survival (OS) was analyzed using Cox proportional-hazards models with and without landmark analysis. Accurate follow-up data were available for 877 patients, 662 (75.5%) of whom had documented recurrence at last follow-up. Patients with multiple-site (n = 227, 4.7 months) or liver-only recurrence (n = 166, 7.2 months) had significantly worse median survival after recurrence when compared with lung- (n = 93) or local-only (n = 158) recurrence (15.4 and 9.7 months, respectively). On multivariable analysis, the unique recurrence patterns had variable predictive values for OS. Landmark analyses, with landmarks set at 12, 18, and 24 months, confirmed these findings. This study demonstrates that specific patterns of PDAC recurrence result in different survival outcomes. Furthermore, distinct first recurrence locations have unique independent predictive values for OS, which could help with prognostic stratification and decisions regarding treatment after the diagnosis of recurrence. |
X Demographics
The data shown below were collected from the profiles of 16 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 | 4 | 25% |
| South Africa | 2 | 13% |
| United Kingdom | 2 | 13% |
| Australia | 1 | 6% |
| Brazil | 1 | 6% |
| Italy | 1 | 6% |
| China | 1 | 6% |
| India | 1 | 6% |
| Netherlands | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 2 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 50% |
| Practitioners (doctors, other healthcare professionals) | 5 | 31% |
| Scientists | 3 | 19% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 9 | 15% |
| Student > Ph. D. Student | 8 | 14% |
| Student > Master | 7 | 12% |
| Researcher | 6 | 10% |
| Student > Doctoral Student | 4 | 7% |
| Other | 9 | 15% |
| Unknown | 16 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 30 | 51% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Immunology and Microbiology | 1 | 2% |
| Social Sciences | 1 | 2% |
| Physics and Astronomy | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 20 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 28 September 2023.
All research outputs
#4,062,015
of 25,067,172 outputs
Outputs from Annals of Surgical Oncology
#1,180
of 7,158 outputs
Outputs of similar age
#72,634
of 334,674 outputs
Outputs of similar age from Annals of Surgical Oncology
#44
of 124 outputs
Altmetric has tracked 25,067,172 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,158 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has done well, scoring higher than 83% 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 334,674 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 78% of its contemporaries.
We're also able to compare this research output to 124 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.