Evidence map›Paper›PMID 39251964›Full record

ArticleBMC pediatrics2024

TARGET based m

Kun-Yin Qiu, Xiong-Yu Liao, Jian-Pei Fang, Dun-Hua Zhou

Abstract read
In one paragraph

Article in BMC pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

4 authors.

Kun-Yin Qiu *Department of Hematology/Oncology, Children's Medical Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, P.R. China.
Xiong-Yu Liao *Department of Hematology/Oncology, Children's Medical Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, P.R. China.
Jian-Pei Fang *Department of Hematology/Oncology, Children's Medical Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, P.R. China.
Dun-Hua ZhouDepartment of Hematology/Oncology, Children's Medical Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, P.R. China. zhoudunh@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe current study aims to investigate the significance of N6-methyladenosine (m

methodsTranscriptome data and corresponding clinical data on m

resultsThe bone marrow (BM) samples of 134 newly diagnosed (naive) and 116 relapsed B-ALL from TARGET were enrolled in the current study. Three genes (FTO, HNRNPC, RBM15B) showed significant up-regulation in relapsed B-ALL compared with that in naive B-ALL.The three genes had a significantly worse survival (P < 0.05). The LASSO Cox regression model was used to select the most predictive genes as prognostic indicators, and YTHDC1 and FTO were identified as prognostic factors for relapsed B-ALL. Finally, the results of multivariate regression analysis showed that the risk score of m

conclusionWe found that the expression levels of m

Indexed as

AdenosineAlpha-Ketoglutarate-Dependent Dioxygenase FTOPrecursor B-Cell Lymphoblastic Leukemia-LymphomaRNA-Binding ProteinsRNA Splicing FactorsAdolescentBiomarkers, TumorChildChild, PreschoolFemaleHeterogeneous-Nuclear Ribonucleoprotein Group CHumansMaleMethylationNeoplasm Recurrence, LocalNerve Tissue ProteinsAdenosineAlpha-Ketoglutarate-Dependent Dioxygenase FTOBiomarkers, TumorFTO protein, humanHeterogeneous-Nuclear Ribonucleoprotein Group CHNRNPC protein, humanNerve Tissue ProteinsN-methyladenosineRBM15 protein, humanRNA-Binding ProteinsRNA Splicing FactorsYTHDC1 protein, humanChildrenm6A methylation-related genesPrognosisRelapsed B-ALL

Identifiers

PMID39251964
PMCPMC11386119

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.