Evidence map›Paper›PMID 36424705›Full record

ArticleJournal of gynecologic oncology2023

Intraoperative frozen pathology exam of Common iliac lymph nodes and Para-Aortic lymphadenectomy on the prognosis and quality of life for patients with IB2-IIA2 Cervical Cancer: trial protocol for a randomized controlled trial (C-PACC trial).

Xinyu Qu, Junjun Qiu, Lili Jiang, Xiaorong Qi, Guonan Zhang, Weiwei Feng, Yudong Wang, Yincheng Teng, Xipeng Wang, Xiaoqing Guo and 1 more

Open access · diamondAbstract readClinical Trial Protocol
In one paragraph

Article in Journal of gynecologic oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

11 authors at 8 institutions in 1 country.

Xinyu Qu *Department of Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.ORCID 0000-0001-6655-6085
Junjun Qiu *Department of Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.ORCID 0000-0002-2063-2684
Lili JiangDepartment of Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.ORCID 0000-0002-4346-2171
Xiaorong QiDepartment of Obstetrics and Gynecology, West China Second University Hospital of Sichuan University, Chengdu, China.ORCID 0000-0002-8382-9433
Guonan ZhangDepartment of Gynecologic Oncology, Sichuan Cancer Hospital, Chengdu, China.ORCID 0000-0002-2228-9197
Weiwei FengDepartment of Obstetrics and Gynecology, Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.ORCID 0000-0002-0685-9479
Yudong WangDepartment of Gynecologic Oncology, The International Peace Maternity & Child Health Hospital (IPMCH) of China Welfare Institute (CWI), Shanghai, China.ORCID 0000-0002-9455-4471
Yincheng TengDepartment of Obstetrics and Gynecology, The Sixth Hospital of Shanghai Jiaotong University School of Medicine, Shanghai, China.ORCID 0000-0003-0772-3335
Xipeng WangDepartment of Obstetrics and Gynecology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University of Medicine, Shanghai, China.ORCID 0000-0001-8393-3719
Xiaoqing GuoDepartment of Gynecology, First Maternity and Infant Hospital affiliated to Tongji University, Shanghai, China.ORCID 0000-0002-2493-5156
Keqin HuaDepartment of Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China. huakeqin@fudan.edu.cn.ORCID 0000-0001-5359-8841
Obstetrics and Gynecology Hospital of Fudan University · CNInternational Peace Maternity & Child Health Hospital · CNRuijin Hospital · CNShanghai First Maternity and Infant Hospital · CNShanghai Sixth People's Hospital · CNSichuan Cancer Hospital · CNSichuan University · CNXinHua Hospital · CN

Funding

Clinical Research Plan of SHDC SHDC2020CR1045BClinical Research Plan of SHDC SHDC2020CR4087Clinical Research Plan of SHDC SHDC2020CR6009Shanghai Committee of Science and Technology 22Y31900500
6 · The paper itself

Abstract

backgroundThe impact of para-aortic lymphadenectomy (PALD) on prognosis and quality of life (QoL) for IB2-IIA2 cervical cancer patients remain controversial. And whether intraoperative frozen pathology exam on common iliac lymph nodes could help predict para-aortic lymph node (PALN) metastasis was unanswered with high-level evidence.

methodsA multi-center, randomized controlled study is intended to investigate the effect of PALD on the prognosis and QoL in cervical cancer patients and to assess the value of intraoperative frozen pathological evaluation of common iliac nodes metastasis for the prediction of PALN metastasis. After choosing whether to receive intraoperative frozen pathological examination of bilateral common iliac lymph nodes, eligible patients will be randomly assigned (1:1) to receive PALD or not. The primary end point is 2-year progression-free survival (PFS). The secondary end points include 5-year PFS, 2-year overall survival (OS), 5-year OS, adverse events (AEs) caused by PALD, AEs caused by radiotherapy and QoL. A total of 728 patients will be enrolled from 8 hospitals in China within 3-year period and followed up for 5 years.

trial registrationChinese Clinical Trial Register Identifier: ChiCTR2000035668.

Indexed as

Uterine Cervical NeoplasmsFemaleHumansLymph Node ExcisionLymph NodesMulticenter Studies as TopicNeoplasm StagingPrognosisQuality of LifeRandomized Controlled Trials as TopicLymphadenectomyRadiotherapyUterine Cervical Neoplasms

Identifiers

PMID36424705
PMCPMC9995868
OpenAlexW4309209359

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.