Evidence map›Paper›PMID 26283705›Full record

ReviewExperimental biology and medicine (Maywood, N.J.)2015

Three dimensional de novo micro bone marrow and its versatile application in drug screening and regenerative medicine.

Guanqun Li, Xujun Liu, Qian Du, Mei Gao, Jing An

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Experimental biology and medicine (Maywood, N.J.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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

5 authors.

Guanqun LiDepartment of Pharmacology, State University of New York, Upstate Medical University, Syracuse, NY 13202, USA.
Xujun LiuDepartment of Pharmacology, State University of New York, Upstate Medical University, Syracuse, NY 13202, USA.
Qian DuDepartment of Neuroscience and Physiology, State University of New York, Upstate Medical University, Syracuse, NY 13202, USA.
Mei GaoDepartment of Pharmacology, State University of New York, Upstate Medical University, Syracuse, NY 13202, USA SUNY Upstate Cancer Research Institute, State University of New York, Upstate Medical University, Syracuse, NY 13202, USA.
Jing AnDepartment of Pharmacology, State University of New York, Upstate Medical University, Syracuse, NY 13202, USA SUNY Upstate Cancer Research Institute, State University of New York, Upstate Medical University, Syracuse, NY 13202, USA anji@upstate.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The finding that bone marrow hosts several types of multipotent stem cell has prompted extensive research aimed at regenerating organs and building models to elucidate the mechanisms of diseases. Conventional research depends on the use of two-dimensional (2D) bone marrow systems, which imposes several obstacles. The development of 3D bone marrow systems with appropriate molecules and materials however, is now showing promising results. In this review, we discuss the advantages of 3D bone marrow systems over 2D systems and then point out various factors that can enhance the 3D systems. The intensive research on 3D bone marrow systems has revealed multiple important clinical applications including disease modeling, drug screening, regenerative medicine, etc. We also discuss some possible future directions in the 3D bone marrow research field.

Indexed as

Bone Marrow CellsMultipotent Stem CellsAnimalsBone MarrowDrug Evaluation, PreclinicalHumansRegenerative Medicinebone marrowcomputational modeldisease modelingregenerative medicinescaffoldstem cellThree dimension

Identifiers

PMID26283705
PMCPMC4935287

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.