Evidence map›Paper›PMID 40994960›Full record

ArticleFrontiers in oncology2025

Surgical procedures and techniques in robot-assisted retrograde para-aortic lymphadenectomy.

Xinyou Wang, Ya Li, Jinming Zhu, Jun Wang, Shichao Han, Jing Na

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Xinyou WangObstetrics and Gynecology Department, The Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Ya LiObstetrics and Gynecology Department, The Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Jinming ZhuOncology Department, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
Jun WangObstetrics and Gynecology Department, The Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Shichao HanObstetrics and Gynecology Department, The Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Jing NaObstetrics and Gynecology Department, The Second Affiliated Hospital of Dalian Medical University, Dalian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To study the robotic-assisted abdominal aorta lymphadenectomy at the level of the left renal vein, aimed at standardizing and optimizing the surgical procedure. Methods: All surgical procedures are guided by the theory of membrane anatomy, operating within the intermembrane spaces of embryonic compartments. Results: Using robotic assistance in a inverted position to perform lymphadenectomy of the abdominal aorta at the level of the left renal vein enables safe and reliable lymph node removal, combined with the concept of membrane anatomy, not only minimizes surgical bleeding but also helps reduce complications, such as vascular and intestinal injuries. Conclusion: Utilizing robotics to perform lymphadenectomy of the abdominal aorta at the level of the left renal vein can achieve a more meticulous and refined surgical outcome. Precise surgical techniques contribute to standardizing and optimizing surgical procedures, thereby facilitating the learning process.

Indexed as

abdominal aortalymphadenectomymembrane anatomymembrane bridgerobotic surgery

Identifiers

PMID40994960
PMCPMC12454043

What OpenQuestion holds

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Registered trials

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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.