Evidence map›Paper›PMID 33185043›Full record

ArticleJournal of gynecologic oncology2021

A new technique of laparoscopic para-aortic lymphadenectomy optimizes perioperative outcome.

Yonghong Lin, Li He, Youwen Mei

Open access · diamondAbstract read
In one paragraph

Article in Journal of gynecologic oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 34% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Yonghong LinDepartment of Obstetrics and Gynecology, Chengdu Women and Children's Central Hospital, Affiliated to University of Electronic Science and Technology of China, Chengdu, China. 381001243@qq.com.ORCID https://orcid.org/0000-0002-5171-5933
Li HeDepartment of Obstetrics and Gynecology, Chengdu Women and Children's Central Hospital, Affiliated to University of Electronic Science and Technology of China, Chengdu, China.ORCID https://orcid.org/0000-0002-1735-8899
Youwen MeiDepartment of Obstetrics and Gynecology, Chengdu Women and Children's Central Hospital, Affiliated to University of Electronic Science and Technology of China, Chengdu, China.ORCID https://orcid.org/0000-0002-6963-3100
Chengdu Women's and Children's Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of the present study was to introduce a new technique for laparoscopic para-aortic lymphadenectomy (PAL): an invented retroperitoneum suspension needle combined with modified trocar placement.

methodsThis prospective pilot study randomly categorized women with cervical cancer of stage I-II into 2 groups. The patients in the study group would have laparoscopic PAL with our new technique, while those in the control group with control method. Patients' characteristics and perioperative outcomes were compared between the 2 groups.

resultsA total of 37 patients were included in our study, of which 20 cases in the study group and 17 cases in the control group. As a result, the mean number of para-aortic lymph nodes (PALNs) resected in the study group was significantly more than that in the control group (p<0.001). The time for resecting PALNs (p<0.001) and total operative time (p<0.001) in the study group decreased significantly than those in the control group.

conclusionsFor laparoscopic PAL, this new technique was effective and practical.

Indexed as

LaparoscopyUterine Cervical NeoplasmsFemaleHumansLymph Node ExcisionLymph NodesNeoplasm StagingPilot ProjectsProspective StudiesCervical CancerLaparoscopyLymphadenectomyPara-aortic Lymph Node

Identifiers

PMID33185043
PMCPMC7767654
OpenAlexW3096380090

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.