Evidence map›Paper›PMID 37475053›Full record

ArticleWorld journal of surgical oncology2023

A prognostic model using FIGO 2018 staging and MRI-derived tumor volume to predict long-term outcomes in patients with uterine cervical squamous cell carcinoma who received definitive radiotherapy.

Lele Zang, Qin Chen, An Lin, Jian Chen, Xiaozhen Zhang, Yi Fang, Min Wang

Open access · goldAbstract read
In one paragraph

Article in World journal of surgical oncology, 2023. 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
0.3field-weighted citation impact, top 38% 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, 1 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

7 authors at 3 institutions in 1 country.

Lele Zang *Department of Gynecology, Fujian Medical University Cancer Hospital, FujianCancer Hospital, Fuzhou, China.
Qin Chen *Department of Gynecology, Fujian Medical University Cancer Hospital, FujianCancer Hospital, Fuzhou, China.
An LinDepartment of Gynecology, Fujian Medical University Cancer Hospital, FujianCancer Hospital, Fuzhou, China.
Jian ChenDepartment of Gynecology, Fujian Medical University Cancer Hospital, FujianCancer Hospital, Fuzhou, China.
Xiaozhen ZhangDepartment of Radiology, The Affiliated People's Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Yi FangDepartment of Gynecology, Fujian Medical University Cancer Hospital, FujianCancer Hospital, Fuzhou, China.
Min WangDepartment of Gynecology, Fujian Medical University Cancer Hospital, FujianCancer Hospital, Fuzhou, China. wangmin20220505@163.com.
Fujian Provincial Cancer Hospital · CNFujian Medical University · CNFujian University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUterine cervical carcinoma is a severe health threat worldwide, especially in China. The International Federation of Gynecology and Obstetrics (FIGO) has revised the staging system, emphasizing the strength of magnetic resonance imaging (MRI). We aimed to investigate long-term prognostic factors for FIGO 2018 stage II-IIIC2r uterine cervical squamous cell carcinoma following definitive radiotherapy and establish a prognostic model using MRI-derived tumor volume.

methodsPatients were restaged according to the FIGO 2018 staging system and randomly grouped into training and validation cohorts (7:3 ratio). Optimal cutoff values of squamous cell carcinoma antigen (SCC-Ag) and tumor volume derived from MRI were generated for the training cohort. A nomogram was constructed based on overall survival (OS) predictors, which were selected using univariate and multivariate analyses. The performance of the nomogram was validated and compared with the FIGO 2018 staging system. Risk stratification cutoff points were generated, and survival curves of low-risk and high-risk groups were compared.

resultsWe enrolled 396 patients (training set, 277; validation set, 119). The SCC-Ag and MRI-derived tumor volume cutoff values were 11.5 ng/mL and 28.85 cm

conclusionsOur nomogram predicted long-term outcomes of patients with FIGO 2018 stage II-IIIC2r uterine cervical squamous cell carcinoma. This tool can assist gynecologic oncologists and patients in treatment planning and prognosis.

Indexed as

Carcinoma, Squamous CellUterine Cervical NeoplasmsFemaleHumansNeoplasm StagingPrognosisTumor BurdenFIGO 2018MRIPrognostic modelRadiotherapyUterine cervical squamous cell carcinoma

Identifiers

PMID37475053
PMCPMC10360277
OpenAlexW4384926591

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.