Evidence map›Paper›PMID 38484700›Full record

ArticleObstetrics & gynecology science2024

Determination of ovarian transposition through prediction of postoperative adjuvant therapy in young patients with early stage cervical cancer undergoing surgery: a Korean multicenter retrospective study (KGOG 1042).

Woo Yeon Hwang, Chel Hun Choi, Kidong Kim, Moon-Hong Kim, Myong Cheol Lim, Banghyun Lee, Myounghwan Kim, Yun Hwan Kim, Seok Ju Seong, Jong-Min Lee

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Obstetrics & gynecology science, 2024. 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
1.2field-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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

10 authors at 9 institutions in 1 country.

Woo Yeon HwangDepartment of Obstetrics and Gynecology, Kyung Hee University Medical Center, College of Medicine Kyung Hee University, Seoul, Korea.
Chel Hun ChoiDepartment of Obstetrics and Gynecology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Kidong KimDepartment of Obstetrics and Gynecology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.
Moon-Hong KimDepartment of Obstetrics and Gynecology, Korea Cancer Center Hospital, Korea Institute of Radiological and Medical Sciences, Seoul, Korea.
Myong Cheol LimNational Cancer Center, Goyang, Korea.
Banghyun LeeDepartment of Obstetrics and Gynecology, Inha University Hospital, Inha University School of Medicine, Incheon, Korea.
Myounghwan KimDepartment of Obstetrics and Gynecology, Sanggye Paik Hospital, School of Medicine, Inje University, Seoul, Korea.
Yun Hwan KimDepartment of Obstetrics and Gynecology, Ewha Womans University College of Medicine, Seoul, Korea.
Seok Ju SeongDepartment of Obstetrics and Gynecology, CHA Gangnam Medical Center, CHA University College of Medicine, Seoul, Korea.
Jong-Min LeeDepartment of Obstetrics and Gynecology, Kyung Hee University Hospital at Gangdong, Seoul, Korea.
Korea Institute of Radiological and Medical Sciences · KRCHA University · KREwha Womans University · KRInha University Hospital · KRKyung Hee University Hospital at Gangdong · KRKyung Hee University Medical Center · KRNational Cancer Center · KRSamsung Medical Center · KRSeoul National University Bundang Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe aimed to predict the risk of postoperative adjuvant therapy using preoperative variables in young patients with early stage cervical cancer. The predicted risk can guide whether ovarian transposition should be performed during surgery.

methodsIn total, 886 patients with stage IB1-IIA cervical cancer aged 20-45 years who underwent modified radical or radical hysterectomy between January 2000 and December 2008 were included. Preoperative variables, preoperative laboratory findings, International Federation of Gynaecology and Obstetrics stage, tumor size, and pathological variables were collected. Patients with high risk factors or those who met the Sedlis criteria were considered adjuvant therapy risk (+); others were considered adjuvant therapy risk (-). A decision-tree model using preoperative variables was constructed to predict the risk of adjuvant therapy.

resultsOf 886 patients, 362 were adjuvant therapy risk (+) (40.9%). The decision-tree model with four distinct adjuvant therapy risks using tumor size and age were generated. Specifically, patients with tumor size ≤2.45 cm had low risk (49/367; 13.4%), those with tumor size ≤3.85 cm and >2.45 cm had moderate risk (136/314; 43.3%), those with tumor size >3.85 cm and age ≤39.5 years had high risk (92/109; 84.4%), and those with tumor size >3.85 cm and age >39.5 years had the highest risk (85/96; 88.5%).

conclusionThe risk of postoperative adjuvant therapy in young patients with early stage cervical cancer can be predicted using preoperative variables. We can decide whether ovarian transposition should be performed using the predicted risk.

Indexed as

Adjuvant treatmentCervical cancerOvarian functionOvarian transposition

Identifiers

PMID38484700
PMCPMC11099092
OpenAlexW4394738956

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.