Evidence map›Paper›PMID 36725741›Full record

ArticlePediatric surgery international2023

A nomogram for the preoperative estimation of neuroblastoma risk despite inadequate biopsy information.

Yingyi Qi, Mengdi Li, Fangyuan Zhao, Wenfan Xue, Wang Qiong, Jianghua Zhan

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Article in Pediatric surgery international, 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
0.4field-weighted citation impact, top 38% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

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4 · The record

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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 2 institutions in 1 country.

Yingyi Qi *Graduate College, Tianjin Medical University, Tianjin, 300070, China.
Mengdi Li *Graduate College, Tianjin Medical University, Tianjin, 300070, China.
Fangyuan ZhaoGraduate College, Tianjin Medical University, Tianjin, 300070, China.
Wenfan XueGraduate College, Tianjin Medical University, Tianjin, 300070, China.
Wang QiongGraduate College, Tianjin Medical University, Tianjin, 300070, China.
Jianghua ZhanDepartment of General Surgery, Tianjin Children's Hospital, Tianjin, 300134, China. zhanjianghuatj@163.com.
Tianjin Children's Hospital · CNTianjin Medical University · CN

Funding

Tianjin Municipal Science and Technology Bureau Major Projects 21ZXGWSY00070Tianjin University Children's Hospital Projects No. Y2020002
6 · The paper itself

Abstract

background and purposeIf the preoperative pathological information is inadequate, a risk classification may not be able to be determined for some patients with neuroblastoma. Our objectives were to include imaging factors, serum biomarkers, and demographic factors in a nomogram to distinguish high-risk patients before surgical resection based on the COG classification.

methodA total of 106 patients were included in the study. Of these, patients with clinicopathologically confirmed neuroblastoma at Tianjin Children's Hospital from January 2013 to November 2021 formed the training cohort (n = 82) for nomogram development, and those patients from January 2010 to December 2013 formed the validation cohort (n = 24) to confirm the model's performance.

resultOn multivariate analysis of the primary cohort, independent factors for high risk were the presence of distant metastasis (p = 0.004), lactate dehydrogenase (LDH) (p = 0.009), and tumor volume (p = 0.033), which were all selected into the nomogram. The calibration curve for probability showed good agreement between prediction by nomogram and actual observation. The C-index of the nomogram was 0.95 95% [0.916-0.99]. Application of the nomogram in the validation cohort still gave good discrimination and good calibration.

conclusionThree independent factors including the presence of distant metastasis, lactate dehydrogenase (LDH), and tumor volume are associated with high-risk neuroblastoma and selected into the nomogram. The novel nomogram has the flexibility to apply a clinically suitable cutoff to identify high-risk neuroblastoma patients despite inadequate preoperative pathological information. The nomogram can allow these patients to be offered suitable induction chemotherapy regimens and surgical plans. LEVELS OF EVIDENCE: Level III.

Indexed as

NeuroblastomaNomogramsBiopsyChildHumansLactate DehydrogenasesRiskRisk AssessmentLactate DehydrogenasesBiomarkersHigh riskNeuroblastomaNomogramRisk stratification

Identifiers

PMID36725741
OpenAlexW4318763602

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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.