Evidence map›Paper›PMID 37810975›Full record

ArticleFrontiers in oncology2023

Speculation on optimal numbers of examined lymph node for early-stage epithelial ovarian cancer from the perspective of stage migration.

Yuan Li, Jiashan Ding, Huimin Zheng, Lijiang Xu, Weiru Li, Minshan Zhu, Xiaolu Zhang, Cong Ma, Fangying Zhang, Peiwen Zhong and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

15 authors at 3 institutions in 1 country.

Yuan LiDepartment of Obstetrics and Gynecology, First People's Hospital of Foshan, Foshan, Guangdong, China.
Jiashan DingDepartment of Gynecological Oncology, Xiangya Hospital Central South University, Central South University, Changsha, Hunan, China.
Huimin ZhengDepartment of Obstetrics and Gynecology, First People's Hospital of Foshan, Foshan, Guangdong, China.
Lijiang XuDepartment of Obstetrics and Gynecology, First People's Hospital of Foshan, Foshan, Guangdong, China.
Weiru LiDepartment of Obstetrics and Gynecology, First People's Hospital of Foshan, Foshan, Guangdong, China.
Minshan ZhuDepartment of Obstetrics and Gynecology, First People's Hospital of Foshan, Foshan, Guangdong, China.
Xiaolu ZhangDepartment of Obstetrics and Gynecology, First People's Hospital of Foshan, Foshan, Guangdong, China.
Cong MaDepartment of Obstetrics and Gynecology, First People's Hospital of Foshan, Foshan, Guangdong, China.
Fangying ZhangDepartment of Obstetrics and Gynecology, First People's Hospital of Foshan, Foshan, Guangdong, China.
Peiwen ZhongDepartment of Obstetrics and Gynecology, First People's Hospital of Foshan, Foshan, Guangdong, China.
Dong LiangDepartment of Obstetrics and Gynecology, First People's Hospital of Foshan, Foshan, Guangdong, China.
Yubin HanDepartment of Obstetrics and Gynecology, First People's Hospital of Foshan, Foshan, Guangdong, China.
Siyou ZhangDepartment of Obstetrics and Gynecology, First People's Hospital of Foshan, Foshan, Guangdong, China.
Linsheng HeDepartment of Gynecologic Oncology, Jiangxi Maternal and Child Health Hospital, Nanchang Medical College, Nanchang, Jiangxi, China.
Jiaqi LiDepartment of Gynecologic Oncology, Jiangxi Maternal and Child Health Hospital, Nanchang Medical College, Nanchang, Jiangxi, China.
First People's Hospital of Foshan · CNJiangxi Maternal and Child Health Hospital · CNCentral South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In early-stage epithelial ovarian cancer (EOC), how to perform lymphadenectomy to avoid stage migration and achieve reliable targeted excision has not been explored in depth. This study comprehensively considered the stage migration and survival to determine appropriate numbers of examined lymph node (ELN) for early-stage EOC and high-grade serous ovarian cancer (HGSOC). Methods: From the Surveillance, Epidemiology, and End Results database, we obtained 10372 EOC cases with stage T1M0 and ELN ≥ 2, including 2849 HGSOC cases. Generalized linear models with multivariable adjustment were used to analyze associations between ELN numbers and lymph node stage migration, survival and positive lymph node (PLN). LOESS regression characterized dynamic trends of above associations followed by Chow test to determine structural breakpoints of ELN numbers. Survival curves were plotted using Kaplan-Meier method. Results: More ELNs were associated with more node-positive diseases, more PLNs and better prognosis. ELN structural breakpoints were different in subgroups of early-stage EOC, which for node stage migration or PLN were more than those for improving outcomes. The meaning of ELN structural breakpoint varied with its location and the morphology of LOESS curve. To avoid stage migration, the optimal ELN for early-stage EOC was 29 and the minimal ELN for HGSOC was 24. For better survival, appropriate ELN number were 13 and 8 respectively. More ELNs explained better prognosis only at a certain range. Discussion: Neither too many nor too few numbers of ELN were ideal for early-stage EOC and HGSOC. Excision with appropriate numbers of lymph node draining the affected ovary may be more reasonable than traditional sentinel lymph node resection and systematic lymphadenectomy.

Indexed as

early-stageepithelial ovarian cancerexamined lymph nodestage migrationstructural breakpointsurvival

Identifiers

PMID37810975
PMCPMC10556677
OpenAlexW4386958057

What OpenQuestion holds

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LicenceCC BY
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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.