Evidence map›Paper›PMID 27064433›Full record

ReviewCurrent opinion in biotechnology2016

Local and targeted drug delivery for bone regeneration.

Maureen R Newman, Danielle Sw Benoit

Abstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

38 citing papers in PubMed, 86 citations in OpenAlex.

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  13. LongitudinalFrontiers in bioengineering and biotechnology · 2022
    Article
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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

2 authors at 1 institution in 1 country.

Maureen R NewmanDepartment of Biomedical Engineering, University of Rochester, Rochester, NY, USA; Center for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY, USA.
Danielle Sw BenoitDepartment of Biomedical Engineering, University of Rochester, Rochester, NY, USA; Center for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY, USA; Department of Chemical Engineering, University of Rochester, Rochester, NY, USA. Electronic address: danielleswbenoit@rochester.edu.
University of Rochester Medical Center · US

Funding

Tissue Engineering Strategies to Revitalize Bone AllograftsR01AR064200 · NIAMS · UNIVERSITY OF ROCHESTER · PI Danielle S. Benoit · 2013 to 2026
$4.0M
NIAMS NIH HHS R01 AR064200
6 · The paper itself

Abstract

While experimental bone regeneration approaches commonly employ cells, technological hurdles prevent translation of these therapies. Alternatively, emulating the spatiotemporal cascade of endogenous factors through controlled drug delivery may provide superior bone regenerative approaches. Surgically placed drug depots have clinical indications. Additionally, noninvasive systemic delivery can be used as needed for poorly healing bone injuries. However, a major hurdle for systemic delivery is poor bone biodistribution of drugs. Thus, peptides, aptamers, and phosphate-rich compounds with specificity toward proteins, cells, and molecules within the regenerative bone microenvironment may enable the design of targeted carriers with bone biodistribution greater than that achieved by drug alone. These carriers, combined with osteoregenerative drugs and/or stimuli-sensitive linkers, may enhance bone regeneration while minimizing off-target tissue effects.

Indexed as

Drug Delivery SystemsAnimalsBone and BonesBone RegenerationHumansIntercellular Signaling Peptides and ProteinsTissue EngineeringIntercellular Signaling Peptides and Proteins

Identifiers

PMID27064433
PMCPMC4975663
OpenAlexW2328888203

What OpenQuestion holds

Textmetadata
LicenceTDM
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.