Evidence map›Paper›PMID 42164354›Full record

ArticleTranslational andrology and urology2026

Gasless single-port retroperitoneal laparoscopic adrenalectomy: a novel option for adrenal tumors.

Xianda Chen, Zhenhua Liu, Haichao Huang, Mingkun Chen, Lei Bian, Nan Ma, Jun Wang, Hui Han, Kai Yao, Renchun Lai and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Translational andrology and urology, 2026. 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

13 authors.

Xianda Chen *Department of Urology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Zhenhua Liu *Department of Urology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Haichao Huang *Department of Urology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
Mingkun Chen *Department of Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.
Lei BianDepartment of Breast Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Nan MaDepartment of Urology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Jun WangDepartment of Urology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Hui HanDepartment of Urology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Kai YaoDepartment of Urology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Renchun LaiDepartment of Anesthesiology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yuhui LongDepartment of Anesthesiology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xia ZhengDepartment of Urology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Shengjie GuoDepartment of Urology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Laparoscopic adrenalectomy is the primary treatment for most adrenal tumors. However, gasless single-port retroperitoneal laparoscopic adrenalectomy (GL-SPRLA) is rarely documented, and its safety and effectiveness need further investigation. To address this, we introduced an improved GL-SPRLA technique using a novel peritoneal spreader (PerS) that eliminates the need for CO Methods: This single-center retrospective study compared GL-SPRLA (n=58) with conventional single-port retroperitoneal laparoscopic adrenalectomy (SPRLA) (n=106) for adrenal tumors (<4 cm) at Sun Yat-sen University Cancer Center [2021-2023]. All procedures were performed by the same surgeon via retroperitoneal approach. We systematically compared demographic characteristics, intraoperative parameters, postoperative outcomes, and follow-up results. Statistical analysis was performed with Student's Results: All 58 GL-SPRLA procedures were successfully completed using a novel gasless device that replaces carbon dioxide. Compared to SPRLA, GL-SPRLA showed comparable operative time, complication rates, and postoperative hospital stay (P>0.05), but showed smaller perioperative changes in pCO Conclusions: GL-SPRLA may be a feasible minimally invasive option for selected patients with small adrenal tumors, with potential advantages in avoiding CO

Indexed as

adrenalectomyadrenal tumorgaslessperitoneal spreader (PerS)Single-port

Identifiers

PMID42164354
PMCPMC13184230

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.