Evidence map›Paper›PMID 35701437›Full record

ArticleScientific reports2022

Development and validation of a prognostic prediction model including the minor lymphatic pathway for distant metastases in cervical cancer patients.

Kullathorn Thephamongkhol, Pornpim Korpraphong, Kobkun Muangsomboon, Chomporn Sitathanee, Arb-Aroon Lertkhachonsuk, Sith Phongkitkarun, Saowanee Srirattanapong, Duangkamon Prapruttam, Jidapa Bridhikitti, Thaworn Dendumrongsup and 8 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. 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
0.7field-weighted citation impact, top 29% 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, 4 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

18 authors at 6 institutions in 1 country.

Kullathorn ThephamongkholDivision of Radiation Oncology, Department of Radiology, Faculty of Medicine, Siriraj Hospital, Mahidol University, 2 Wanglang Road, Bangkok Noi, Bangkok, 10700, Thailand.
Pornpim KorpraphongDivision of Diagnostic Radiology, Department of Radiology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Kobkun MuangsomboonDivision of Diagnostic Radiology, Department of Radiology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Chomporn SitathaneeDivision of Radiation and Oncology, Department of Diagnostic and Therapeutic Radiology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Arb-Aroon LertkhachonsukGynecological Oncology Unit, Department of Obstetrics and Gynecology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Sith PhongkitkarunDivision of Diagnostic Radiology, Department of Diagnostic and Therapeutic Radiology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Saowanee SrirattanapongDivision of Diagnostic Radiology, Department of Diagnostic and Therapeutic Radiology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Duangkamon PrapruttamDivision of Diagnostic Radiology, Department of Diagnostic and Therapeutic Radiology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Jidapa BridhikittiDivision of Radiation Oncology, Department of Radiology, Faculty of Medicine, Songklanagarind Hospital, Prince of Songkla University, Hat Yai, Songkhla, Thailand.
Thaworn DendumrongsupAbdominal Imaging Section, Department of Radiology, Faculty of Medicine, Songklanagarind Hospital, Prince of Songkla University, Hat Yai, Songkhla, Thailand.
Petch AlisanantDivision of Therapeutic Radiology and Oncology, Department of Radiology, King Chulalongkorn Memorial Hospital, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Napapat AmornwichetDivision of Therapeutic Radiology and Oncology, Department of Radiology, King Chulalongkorn Memorial Hospital, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Chonlakiet KhorprasertDivision of Therapeutic Radiology and Oncology, Department of Radiology, King Chulalongkorn Memorial Hospital, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Kewalee SasiwimonphanDivision of Diagnostic Radiology, Department of Radiology, King Chulalongkorn Memorial Hospital, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Chamnan TanprasertkulMinimally Invasive Gynecologic Unit, Department of Obstetrics and Gynecology, Faculty of Medicine, Thammasat University, Pathum Thani, Thailand.
Mantana DhanachaiDivision of Radiation and Oncology, Department of Diagnostic and Therapeutic Radiology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Jayanton PatumanondCenter for Clinical Epidemiology and Clinical Statistics, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Jiraporn SetakornnukulDivision of Radiation Oncology, Department of Radiology, Faculty of Medicine, Siriraj Hospital, Mahidol University, 2 Wanglang Road, Bangkok Noi, Bangkok, 10700, Thailand. jiraporn.set@mahidol.ac.th.ORCID 0000-0002-7201-0377
Mahidol University · THChulalongkorn University · THSiriraj Hospital · THPrince of Songkla University · THThammasat University · THChiang Mai University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To develop and validate a prognostic model, including the minor lymphatic pathway (internal iliac and presacral nodes). STUDY

designRetrospective cohort.

participantsLocally advanced cervical cancer underwent concurrent chemoradiotherapy. SAMPLE SIZE: 397 and 384 patients in the development and validation data set. PREDICTORS: Our new nodal staging system with the minor lymphatic pathway. OUTCOME: Distant metastases. STATISTICAL ANALYSIS: Cox regression; net reclassification improvement (NRI) and decision curve analysis (DCA). Our new nodal system was the strongest predictor. The predictors in the final model were new nodal system, tumor stage, adenocarcinoma, initial hemoglobin, tumor size and age. The nodal system and the pretreatment model had concordance indices of 0.661 and 0.708, respectively, with good calibration curves. Compared to the OUTBACK eligibility criteria, the nodal system showed NRI for both cases (22%) and controls (16%). The pretreatment model showed NRI for cases (31%) and controls (18%). DCA in both models showed threshold probability of 15% and 12%, respectively, when compared with 24% in OUTBACK eligibility criteria. Our new nodal staging system and the pretreatment model could differentiate between high-risk and low-risk patients, thus facilitating decisions to provide more aggressive treatment to prevent distant metastases.

Indexed as

Uterine Cervical NeoplasmsChemoradiotherapyFemaleHumansNeoplasm StagingPrognosisRetrospective Studies

Identifiers

PMID35701437
PMCPMC9197836
OpenAlexW4282924308

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.