Evidence map›Paper›PMID 24480924›Full record

ReviewAsian journal of andrology

Human androgen deficiency: insights gained from androgen receptor knockout mouse models.

Kesha Rana, Rachel A Davey, Jeffrey D Zajac

Open access · goldAbstract readReview
In one paragraph

Review in Asian journal of andrology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

44 citing papers in PubMed, 83 citations in OpenAlex.

  1. Review
  2. The Impact of Forever Chemicals on Protein Structure and Function.International journal of molecular sciences · 2026
    Review
  3. Article
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  7. Review
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  10. Review
  11. Review
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  13. Review
  14. Expression of Androgen and Estrogen Receptors in the Human Lacrimal Gland.International journal of molecular sciences · 2023
    Article
  15. Review
  16. Article
  17. Article
  18. Role of sex hormones in diabetic nephropathy.Frontiers in endocrinology · 2023
    Review
  19. Review
  20. Article
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

3 authors at 3 institutions in 3 countries.

Kesha Rana
Rachel A Davey
Jeffrey D ZajacDepartment of Medicine, Austin Health, University of Melbourne, Heidelberg, Victoria, Australia.
Austin Health · AUMedical Protective · USUniversity of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mechanism of androgen action is complex. Recently, significant advances have been made into our understanding of how androgens act via the androgen receptor (AR) through the use of genetically modified mouse models. A number of global and tissue-specific AR knockout (ARKO) models have been generated using the Cre-loxP system which allows tissue- and/or cell-specific deletion. These ARKO models have examined a number of sites of androgen action including the cardiovascular system, the immune and hemopoetic system, bone, muscle, adipose tissue, the prostate and the brain. This review focuses on the insights that have been gained into human androgen deficiency through the use of ARKO mouse models at each of these sites of action, and highlights the strengths and limitations of these Cre-loxP mouse models that should be considered to ensure accurate interpretation of the phenotype.

Indexed as

Models, AnimalAndrogensAnimalsAutoimmune DiseasesBone Marrow DiseasesCardiovascular Physiological PhenomenaGlucoseHumansMaleMiceMice, KnockoutMuscle, SkeletalObesityOsteoporosisProstateReceptors, AndrogenAndrogensGlucoseReceptors, Androgen

Identifiers

PMID24480924
PMCPMC3955325
OpenAlexW2010360110

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.