Evidence map›Paper›PMID 35449729›Full record

ArticlePathology oncology research : POR2022

Co-Detection of VEGF-A and Its Regulator, microRNA-181a, May Indicate Central Nervous System Involvement in Pediatric Leukemia.

Bálint Egyed, Anna Horváth, Ágnes F Semsei, Csaba Szalai, Judit Müller, Dániel J Erdélyi, Gábor T Kovács

Open access · goldAbstract read
In one paragraph

Article in Pathology oncology research : POR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Review
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  4. Article
  5. Review
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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 at 1 institution in 1 country.

Bálint EgyedHematology Unit, 2nd Department of Pediatrics, Semmelweis University, Budapest, Hungary.
Anna HorváthClinical Genomics Research Group, Department of Genetics, Cell- and Immunobiology, Semmelweis University, Budapest, Hungary.
Ágnes F SemseiClinical Genomics Research Group, Department of Genetics, Cell- and Immunobiology, Semmelweis University, Budapest, Hungary.
Csaba SzalaiClinical Genomics Research Group, Department of Genetics, Cell- and Immunobiology, Semmelweis University, Budapest, Hungary.
Judit MüllerHematology Unit, 2nd Department of Pediatrics, Semmelweis University, Budapest, Hungary.
Dániel J ErdélyiHematology Unit, 2nd Department of Pediatrics, Semmelweis University, Budapest, Hungary.
Gábor T KovácsHematology Unit, 2nd Department of Pediatrics, Semmelweis University, Budapest, Hungary.
Montavid Thermodynamic Research Group · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Central nervous system (CNS) involvement is a leading cause of therapy-refractory pediatric acute lymphoblastic leukemia (pALL), which is aggravated by underdiagnosing CNS disease with the currently used cell-based approach of cerebrospinal fluid (CSF) diagnostics. Our study focused on developing novel subcellular CNS leukemia indicators in the CSF and the bone marrow (BM) of patients with pALL. Serial liquid biopsy samples (

Indexed as

Central Nervous System NeoplasmsMicroRNAsPrecursor Cell Lymphoblastic Leukemia-LymphomaCentral Nervous SystemChildHumansVascular Endothelial Growth Factor AMicroRNAsVascular Endothelial Growth Factor AVEGFA protein, humanbiomarkerscentral nervous system involvementcerebrospinal fluidenzyme-linked immunosorbent assayliquid biopsypediatric leukemia

Identifiers

PMID35449729
PMCPMC9016120
OpenAlexW4225762587

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.