Evidence map›Paper›PMID 33778082›Full record

Trial reportBioMed research international2021

A Simple-to-Use Nomogram for Predicting Survival in Children with Acute Myeloid Leukemia.

Feng Jiang, Xiang Yu, Chuyan Wu, Ming Wang, Ke Wei, Jimei Wang, Guoping Zhou

Abstract readRandomized Controlled TrialValidation Study
In one paragraph

Trial report in BioMed research international, 2021. 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
–field-weighted citation impact
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.

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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

7 authors.

Feng JiangDepartment of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.ORCID https://orcid.org/0000-0002-3525-8752
Xiang YuDepartment of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.ORCID https://orcid.org/0000-0003-1903-0392
Chuyan WuDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.ORCID https://orcid.org/0000-0002-5622-6020
Ming WangDepartment of Plastic and Burn Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.ORCID https://orcid.org/0000-0003-4068-8543
Ke WeiMedical Service Section, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.ORCID https://orcid.org/0000-0001-9034-2810
Jimei WangNeonatal Department, Obstetrics and Gynecology Hospital of Fudan University, Shanghai 200011, China.ORCID https://orcid.org/0000-0002-6755-8709
Guoping ZhouDepartment of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.ORCID https://orcid.org/0000-0002-7472-9940

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe research analyzed a group of patients to develop a statistical nomogram and a web-based survival rate predictor for the comprehensive estimate of the overall survival (OS) of children with acute myeloid leukemia.

methodsBetween 1999 to 2015, we used the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) database to evaluate and randomly divide 440 children diagnosed with AML into the population of training (

resultsCompared to the multivariate training cohort models, a nomogram integrating gender, age of diagnose, WBC at diagnosis, bone marrow leukemic blast percentage, and chromosomal abnormalities [

conclusionsA nomogram effectively predicts survival in children with AML. This prognostic model can be used in clinical practice.

Indexed as

Chromosome InversionChromosomes, HumanLeukemia, Myeloid, AcuteModels, BiologicalNomogramsTranslocation, GeneticAdolescentChildDisease-Free SurvivalFemaleFollow-Up StudiesHumansMalePredictive Value of TestsSurvival Rate

Identifiers

PMID33778082
PMCPMC7972835

What OpenQuestion holds

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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.