Evidence map›Paper›PMID 29224250›Full record

ArticleStem cells translational medicine2018

Multiple Autologous Bone Marrow-Derived CD271

Olga Milczarek, Danuta Jarocha, Anna Starowicz-Filip, Stanislaw Kwiatkowski, Bogna Badyra, Marcin Majka

Open access · goldAbstract read
In one paragraph

Article in Stem cells translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 15% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
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  14. Gene and Cell Therapy for Epilepsy: A Mini Review.Frontiers in molecular neuroscience · 2022
    Review
  15. Stem Cell Therapy in Treating Epilepsy.Frontiers in neuroscience · 2022
    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

6 authors at 1 institution in 1 country.

Olga MilczarekDepartments of Children Surgery, Jagiellonian University School of Medicine, Cracow, Poland.
Danuta JarochaTransplantation, Institute of Pediatrics, Jagiellonian University School of Medicine, Cracow, Poland.
Anna Starowicz-FilipDepartment of Medical Psychology, Jagiellonian University School of Medicine, Cracow, Poland.
Stanislaw KwiatkowskiDepartments of Children Surgery, Jagiellonian University School of Medicine, Cracow, Poland.
Bogna BadyraTransplantation, Institute of Pediatrics, Jagiellonian University School of Medicine, Cracow, Poland.
Marcin MajkaTransplantation, Institute of Pediatrics, Jagiellonian University School of Medicine, Cracow, Poland.ORCID 0000-0002-0429-681X
Jagiellonian University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a need among patients suffering from drug-resistant epilepsy (DRE) for more efficient and less toxic treatments. The objective of the present study was to assess the safety, feasibility, and potential efficacy of autologous bone marrow cell transplantation in pediatric patients with DRE. Two females and two males (11 months to 6 years) were enrolled and underwent a combined therapy consisting of autologous bone marrow nucleated cells (BMNCs) transplantation (intrathecal: 0.5 × 10

Indexed as

AdapaleneBone Marrow CellsBone Marrow TransplantationCell- and Tissue-Based TherapyChildChild, PreschoolEpilepsyFemaleHumansInfantMaleMesenchymal Stem CellsMesenchymal Stem Cell TransplantationPilot ProjectsSeizuresTreatment OutcomeAdapaleneBone marrowCell therapyDrug-resistant epilepsyMesenchymal stem cellsTransplantation

Identifiers

PMID29224250
PMCPMC5746144
OpenAlexW2774578158

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.