| Title |
A model for assuring clamping success during laparoscopic partial nephrectomy with segmental renal artery clamping
|
|---|---|
| Published in |
World Journal of Urology, February 2016
|
| DOI | 10.1007/s00345-016-1785-7 |
| Pubmed ID | |
| Authors |
Xiao Li, Yuan Huang, Wangyan Liu, Pu Li, Lijun Tang, Yi Xu, Jie Li, Qiang Lv, Lixin Hua, Pengfei Shao, Chao Qin, Zengjun Wang |
| Abstract |
A model for assuring clamping success was established for laparoscopic partial nephrectomy (LPN) with segmental renal artery clamping (SRAC). Patients (n = 107; December 2009-September 2011) who underwent LPN with SRAC dependent on the experience of the surgeon and CTA were retrospectively reviewed to determine the optimal characteristics of target arteries. After multiple logistic regression analysis, variables used to build a nomogram were selected using a backward elimination scheme. A model for a clamping program customized to the patient was designed. The surgical outcomes of patients (n = 141; October 2011-June 2014) who subsequently underwent LPN-SRAC with the applied model were compared with those of the first group of patients. Five potential predictors were initially assessed: segmental renal artery angle, target artery diameter, and distance (d) to the abdominal aorta, renal hilum (d RH), and kidney midline (d KML). The regression equation was set up as: [Formula: see text]Comparing the patient groups, those for whom the new SRAC model was applied had a significantly better success rate of clamping (P < 0.001), less total operative time (P < 0.001), and less operative blood loss (P = 0.042). No obvious differences were observed in time of warm ischemia, postoperative hospitalization, RENAL nephrometry score, or number of final clamped branches. The model for assuring clamping success was helpful in designing an SRAC program and thus benefiting the LPN procedure. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 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 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 % |
|---|---|---|
| Other | 2 | 13% |
| Lecturer | 1 | 6% |
| Student > Master | 1 | 6% |
| Researcher | 1 | 6% |
| Professor > Associate Professor | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 9 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 38% |
| Arts and Humanities | 1 | 6% |
| Unknown | 9 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 26 April 2017.
All research outputs
#18,542,806
of 22,965,074 outputs
Outputs from World Journal of Urology
#1,734
of 2,113 outputs
Outputs of similar age
#293,518
of 403,882 outputs
Outputs of similar age from World Journal of Urology
#21
of 31 outputs
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