Evidence map›Paper›PMID 36035344›Full record

ArticleAsian journal of urology2022

Surgical treatment of large pheochromocytoma (>6 cm): A 10-year single-center experience.

Liang Zhang, Danlei Chen, Yingxian Pang, Xiao Guan, Xiaowen Xu, Cikui Wang, Qiao Xiao, Longfei Liu

Abstract read
In one paragraph

Article in Asian journal of urology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Liang ZhangDepartment of Urology, Xiangya Hospital, Central South University, Changsha, China.
Danlei ChenDepartment of Urology, Xiangya Hospital, Central South University, Changsha, China.
Yingxian PangDepartment of Urology, Xiangya Hospital, Central South University, Changsha, China.
Xiao GuanDepartment of Urology, Xiangya Hospital, Central South University, Changsha, China.
Xiaowen XuDepartment of Urology, Xiangya Hospital, Central South University, Changsha, China.
Cikui WangDepartment of Urology, Xiangya Hospital, Central South University, Changsha, China.
Qiao XiaoDepartment of Urology, Xiangya Hospital, Central South University, Changsha, China.
Longfei LiuDepartment of Urology, Xiangya Hospital, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Clinical practice guidelines recommend open adrenalectomy (OA) for large pheochromocytoma (LPCC) > 6 cm in size. Although laparoscopic adrenalectomy (LA) for the treatment of LPCC has been reported, its role remains unclear. This study aimed to compare the effectiveness of LA and OA, and summary the surgical treatment experience. Methods: Data concerning LPCC, from January 2010 to June 2019 of a single institution, were retrospectively reviewed. Altogether 82 patients with a tumor larger than 6 cm were included (52 patients in LA group and 30 patients in OA group). Groups were balanced by propensity score matching (PSM) into 15 pairs. Patients' demographics, preoperative characteristics, and prognosis were analyzed. Results: Before PSM, the OA group had larger tumor sizes (median [interquartile range, IQR]: 8.9 [7.3-10.3] Conclusion: LA is a safe, minimally invasive procedure for LPCC and has relatively better perioperative characteristics in large medical centers. Patients with tumors on the right side or larger than 8 cm are more likely to undergo OA initially.

Indexed as

Laparoscopic adrenalectomyOpen adrenalectomyPheochromocytomaSurgeryTreatment

Identifiers

PMID36035344
PMCPMC9399532

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.