Evidence map›Paper›PMID 32150058›Full record

ArticleMedicine2020

Development and validation of a nomogram to predict the overall survival of patients with neuroblastoma.

Qinglin Liu, Lei Feng, Hao Xue, Wandong Su, Gang Li

Open access · goldAbstract readValidation Study
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. [Clinical analysis of primary cervical neuroblastoma in children].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2025
    Article
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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

5 authors at 2 institutions in 1 country.

Qinglin LiuDepartment of Neuroradiology, Beijing Neurosurgical Institute & Beijing Tiantan Hospital, Capital Medical University, Beijing.
Lei FengDepartment of Neurosurgery, Qilu Hospital of Shandong University, Jinan, China.
Hao XueDepartment of Neurosurgery, Qilu Hospital of Shandong University, Jinan, China.
Wandong SuDepartment of Neurosurgery, Qilu Hospital of Shandong University, Jinan, China.
Gang LiDepartment of Neurosurgery, Qilu Hospital of Shandong University, Jinan, China.
Qilu Hospital of Shandong University · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuroblastoma is the most prevalent malignancy in infants characterized by heterogeneous prognosis. It is critical to stratify the risks for patients with neuroblastoma. To stratify the risks for neuroblastoma, clinical characteristics of neuroblastoma patients were retrieved from the Therapeutically Applicable Research to Generate Effective Treatment program. All patients were randomly sampled into the development and validation sets. Cox regression was used to construct a prediction nomogram. The discrimination and calibration capacity of the nomogram was assessed. Prognostic index (PI) was calculated and tested to evaluate the performance of the nomogram. This nomogram demonstrated reasonable discrimination and calibration capacity. The nomogram derived PI exhibited acceptable accuracy in predicting the prognosis for neuroblastoma patients. The overall survival rate was significantly different between the PI discriminated high and low-risk patient subgroups. In conclusion, besides traditional staging systems, some newly defined risk factors could be involved in risk stratification for patients with neuroblastoma. Our nomogram may aid the risk stratification for neuroblastoma patients.

Indexed as

NomogramsArea Under CurveBrain NeoplasmsChild, PreschoolChinaDatabases, FactualFemaleHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleNeoplasm StagingNeuroblastomaPrognosisReproducibility of ResultsRisk

Identifiers

PMID32150058
PMCPMC7478547
OpenAlexW3011710688

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.