Evidence map›Paper›PMID 38063985›Full record

ReviewAnnals of surgical oncology2024

Current Application of Navigation Systems in Robotic-Assisted and Laparoscopic Partial Nephrectomy: Focus on the Improvement of Surgical Performance and Outcomes.

Wangmin Liu, Enchong Zhang, Mo Zhang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Annals of surgical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. A clinically and technologically practicable navigation system for robotic sacrocolpopexy.International journal of computer assisted radiology and surgery · 2026
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Wangmin LiuDepartment of Urology, Shengjing Hospital of China Medical University, Shenyang, China.
Enchong ZhangDepartment of Urology, Shengjing Hospital of China Medical University, Shenyang, China. zecuro@163.com.
Mo ZhangDepartment of Urology, The First Hospital of China Medical University, Shenyang, China. peterzhang623@gmail.com.

Funding

345 Talent Project of Shengjing Hospital of China Medical University 30 projectsBethune Charitable Foundation No. mnzl202023Department of Education of Liaoning Province No. LJKMZ20221138vNational Natural Science Foundation of China No. 81802540National Natural Science Foundation of China No. 82173372
6 · The paper itself

Abstract

Kidney cancer represents the third most prevalent malignancy among all types of genitourinary cancer worldwide. Currently, there is a growing trend of employing partial nephrectomy for the management of large and complex tumors. Surgical outcomes are associated with some amendable surgical factors, including warm ischemic time, pedicle clamping, preserved volume of renal parenchyma, appropriate surgical strategy, and precise resection of the tumor. Improving surgical performance is pivotal for achieving favorable surgical outcomes. Due to advancements in imaging visualization technology and the shift of the medical paradigm toward precision medicine, an increasing number of navigation systems have been implemented in partial nephrectomy procedures. The navigation system can assist surgeons in formulating optimal surgical strategies and enhance the safety, precision, and feasibility of resecting complex renal tumors. In this review, we provide an overview of currently available navigation systems and their feasible applications, with a focus on how they contribute to the improvement of surgical performance and outcomes during robotic-assisted and laparoscopic partial nephrectomy.

Indexed as

Kidney NeoplasmsLaparoscopyRobotic Surgical ProceduresHumansKidneyNephrectomyTreatment OutcomeImage-guided surgeryNavigation systemPartial nephrectomyPrecise surgeryRenal cell carcinoma

Identifiers

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.