Evidence map›Paper›PMID 31871495›Full record

ArticleDisease markers2019

Prognostic Factors and Nomograms to Predict Overall and Cancer-Specific Survival for Children with Wilms' Tumor.

Fucai Tang, Hanbin Zhang, Zechao Lu, Jiamin Wang, Chengwu He, Zhaohui He

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-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

11 citing papers in PubMed, 23 citations in OpenAlex.

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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

6 authors at 4 institutions in 1 country.

Fucai TangDepartment of Urology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen 518033, China.ORCID https://orcid.org/0000-0002-9693-8065
Hanbin ZhangThe Second Clinical College of Guangzhou Medical University, Guangzhou 511436, China.ORCID https://orcid.org/0000-0001-8600-7999
Zechao LuThe First Clinical College of Guangzhou Medical University, Guangzhou 511436, China.
Jiamin WangDepartment of Urology, Minimally Invasive Surgery Center, Guangdong Provincial Key Laboratory of Urology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510230, China.
Chengwu HeDepartment of Urology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen 518033, China.
Zhaohui HeDepartment of Urology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen 518033, China.ORCID https://orcid.org/0000-0003-2289-9603
Sun Yat-sen University · CNFirst Affiliated Hospital of Guangzhou Medical University · CNGuangzhou Medical University · CNSecond Affiliated Hospital of Guangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study is aimed at constructing and verifying nomograms that forecast overall survival (OS) and cancer-specific survival (CSS) of children with Wilms' tumor (WT). PATIENTS AND

methodsClinical information of 1613 WT patients who were under 18 years old between 1988 and 2010 was collected from the Surveillance, Epidemiology, and End Results (SEER) database. Using these data, we performed univariate as well as multivariate Cox's regression analyses to determine independent prognostic factors for WT. Then, nomograms to predict 3- and 5-year OS and CSS rates were constructed based on the identified prognostic factors. The nomograms were validated externally and internally. The nomograms' reliability was evaluated utilizing receiver operating characteristic (ROC) curves and concordance indices (C-indices).

results1613 WT patients under 18 were involved in the study and randomly divided into the training (

conclusionPrecise and convenient nomograms were developed for forecasting OS and CSS of children with WT. These nomograms were able to offer accurate and individualized prognosis and assisted clinicians in performing suitable therapy.

Indexed as

NomogramsAdolescentChildChild, PreschoolFemaleHumansInfantInfant, NewbornKidney NeoplasmsMaleNeoplasm StagingPrognosisReproducibility of ResultsROC CurveSEER ProgramSurvival Rate

Identifiers

PMID31871495
PMCPMC6913163
OpenAlexW2993542545

What OpenQuestion holds

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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.