Evidence map›Paper›PMID 35105948›Full record

ArticleGene therapy2022

First use of gene therapy to treat growth hormone resistant dwarfism in a mouse model.

Kian Chuan Sia, Shu Uin Gan, Siti Humairah Mohd Rodhi, Zhen Ying Fu, John J Kopchick, Michael J Waters, Kok Onn Lee

Open access · hybridAbstract read
In one paragraph

Article in Gene therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. [Growth plate regulation and short stature: mechanistic insights and therapeutic advances].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics
    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

7 authors at 3 institutions in 3 countries.

Kian Chuan SiaDepartment of Surgery, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0002-2729-6345
Shu Uin GanDepartment of Surgery, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0002-9672-0306
Siti Humairah Mohd RodhiDepartment of Surgery, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0001-5599-0150
Zhen Ying FuDepartment of Surgery, National University of Singapore, Singapore, Singapore.
John J KopchickEdison Biotechnology Institute, Ohio University, Athens, OH, USA.ORCID http://orcid.org/0000-0003-4561-2177
Michael J WatersInstitute for Molecular Bioscience, The University of Queensland, St. Lucia, QLD, Australia.
Kok Onn LeeDepartment of Medicine, National University of Singapore, Singapore, Singapore. mdcleeko@nus.edu.sg.ORCID http://orcid.org/0000-0002-3040-1185
National University of Singapore · SGBiotechnology Institute · USThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The only treatment tested for growth hormone receptor (GHR) defective Laron Syndrome (LS) is injections of recombinant insulin-like-growth factor 1 (rhIGF1). The response is suboptimal and associated with progressive obesity. In this study, we treated 4-5-week-old Laron dwarf mice (GHR-/-) with an adeno-associated virus expressing murine GHR (AAV-GHR) injection at a dose of 4 × 10

Indexed as

Growth HormoneLaron SyndromeAnimalsDisease Models, AnimalGenetic TherapyHumansInsulin-Like Growth Factor IMiceReceptors, SomatotropinGrowth HormoneInsulin-Like Growth Factor IReceptors, Somatotropin

Identifiers

PMID35105948
PMCPMC9203273
OpenAlexW4210576375

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.