Evidence map›Paper›PMID 37874925›Full record

ArticleThe oncologist2024

Incidence Trends, Clinicopathologic Characteristics, and Overall Survival Prediction in Retinoblastoma Children: SEER Prognostic Nomogram Analysis.

Xiaohong Guo, Li Wang, Narasimha M Beeraka, Chunying Liu, Xiang Zhao, Runze Zhou, Huiming Yu, Ruitai Fan, Junqi Liu

Open access · goldAbstract read
In one paragraph

Article in The oncologist, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 6 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

9 authors at 5 institutions in 3 countries.

Xiaohong GuoDepartment of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan province, People's Republic of China.
Li WangDepartment of Ophthalmology, Fujian Medical University Union Hospital, Fuzhou City, Fujian province, People's Republic of China.
Narasimha M BeerakaDepartment of Pharmacology, Raghavendra Institute of Pharmaceutical Education and Research (RIPER), Anantapuramu, Chiyyedu, Andhra Pradesh, India.
Chunying LiuClass 11 of Grade 3, Clinical Medicine of Medical School, Zhengzhou University, Zhengzhou, Henan province, People's Republic of China.
Xiang ZhaoClass 11 of Grade 3, Clinical Medicine of Medical School, Zhengzhou University, Zhengzhou, Henan province, People's Republic of China.
Runze ZhouCancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan province, People's Republic of China.
Huiming YuDepartment of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing, Hebei province, People's Republic of China.
Ruitai FanDepartment of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan province, People's Republic of China.
Junqi LiuDepartment of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan province, People's Republic of China.
First Affiliated Hospital of Zhengzhou University · CNZhengzhou University · CNIndiana University – Purdue University Indianapolis · USPeking University · CNUnion Hospital · CN

Funding

Natural Science Foundation of China 222300420534
6 · The paper itself

Abstract

backgroundRetinoblastoma is the most common intraocular malignant tumor occurring among children, with an incidence rate of 1/15 000. This study built a joinpoint regression model to assess the incidence trend of retinoblastoma from 2004 to 2015 and constructed a nomogram to predict the overall survival (OS) in children. MATERIALS AND

methodsPatients less than 19 years diagnosed with retinoblastoma from 2004 to 2015 were selected from the SEER database. Joinpoint regression analysis (version 4.9.0.0) was performed to evaluate the trends in retinoblastoma incidence rates from 2004 to 2015. Cox Regression Analysis was applied to investigate prognostic risk factors that influence OS.

resultsJoinpoint regression revealed that retinoblastoma incidence exhibited no significant increase or decrease from 2004 to 2015. As per the multiple Cox regression, tumor size, laterality, and residence (rural-urban continuum code) were correlated with OS and were used to construct a nomogram. The nomogram exhibited a good C-index of 0.71 (95% CI, 0.63 to 0.79), and the calibration curve for survival probability demonstrated that the predictions corresponded well with actual observations. CONCLUSIONS AND RELEVANCE: A prognostic nomogram integrating the risk factors for retinoblastoma was constructed to provide comparatively accurate individual survival predictions. If validated, this type of assessment could be used to guide therapy in patients with retinoblastoma.

Indexed as

Retinal NeoplasmsRetinoblastomaChildHumansIncidenceNomogramsPrognosisSEER Programincidencejoinpoint regressionnomogramoverall survivalretinoblastomaSEER Database

Identifiers

PMID37874925
PMCPMC10836310
OpenAlexW4387900694

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.