Evidence map›Paper›PMID 37703870›Full record

ArticleBiofabrication2023

Biofabrication of an

Dishary Banerjee, Margarita M Ivanova, Nazmiye Celik, Myoung Hwan Kim, Irem Deniz Derman, Renuka Pudi Limgala, Ibrahim T Ozbolat, Ozlem Goker-Alpan

Open access · hybridAbstract read
In one paragraph

Article in Biofabrication, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. 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

8 authors at 2 institutions in 2 countries.

Dishary BanerjeeEngineering Science and Mechanics Department, Penn State University, University Park, PA, United States of America.
Margarita M IvanovaLysosomal & Rare Disorders Research & Treatment Center-LDRTC, Fairfax, VA, United States of America.
Nazmiye CelikEngineering Science and Mechanics Department, Penn State University, University Park, PA, United States of America.
Myoung Hwan KimDepartment of Biomedical Engineering, Pennsylvania State University, University Park, PA, United States of America.
Irem Deniz DermanEngineering Science and Mechanics Department, Penn State University, University Park, PA, United States of America.
Renuka Pudi LimgalaLysosomal & Rare Disorders Research & Treatment Center-LDRTC, Fairfax, VA, United States of America.
Ibrahim T OzbolatEngineering Science and Mechanics Department, Penn State University, University Park, PA, United States of America.ORCID 0000-0001-8328-4528
Ozlem Goker-AlpanLysosomal & Rare Disorders Research & Treatment Center-LDRTC, Fairfax, VA, United States of America.
Pennsylvania State University · USLysosomal and Rare Disorders Research and Treatment Center · US

Funding

Intraoperative bioprinting of composite tissues with zonal stratification for craniomaxillofacial reconstructionR01DE028614 · NIDCR · PENNSYLVANIA STATE UNIVERSITY, THE · PI OZBOLAT, IBRAHIM · 2020 to 2024
$2.8M
High-throughput Spheroid Bioprinting Technology for Scalable Fabrication of TissuesR01EB034566 · NIBIB · PENNSYLVANIA STATE UNIVERSITY, THE · PI Ibrahim Ozbolat · 2023 to 2026
$2.2M
NIBIB NIH HHS R01 EB034566NIDCR NIH HHS R01 DE028614
6 · The paper itself

Abstract

Gaucher disease (GD), the most prevalent lysosomal disorder, is caused by

Indexed as

Gaucher DiseaseBone and BonesCell DifferentiationHumansLeukocytes, MononuclearQuality of Life3D bioprintingbone modelGaucher diseaseosteoblastic–osteoclastic co-differentiation

Identifiers

PMID37703870
PMCPMC10515412
OpenAlexW4386697881

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.