Evidence map›Paper›PMID 32547495›Full record

ReviewFrontiers in endocrinology2020

Estrogen Formation and Inactivation Following TBI: What we Know and Where we Could go.

Kelli A Duncan

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.6field-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

23 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
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  9. Frontiers in neural circuits · 2025
    Article
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  11. Article
  12. Review
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  16. Review
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  18. Review
  19. Glial estradiol synthesis after brain injury.Current opinion in endocrine and metabolic research · 2021
    Article
  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

1 author at 1 institution in 1 country.

Kelli A DuncanDepartment of Biology and Program in Neuroscience and Behavior, Vassar College, Poughkeepsie, NY, United States.
Vassar College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traumatic brain injury (TBI) is responsible for various neuronal and cognitive deficits as well as psychosocial dysfunction. Characterized by damage inducing neuroinflammation, this response can cause an acute secondary injury that leads to widespread neurodegeneration and loss of neurological function. Estrogens decrease injury induced neuroinflammation and increase cell survival and neuroprotection and thus are a potential target for use following TBI. While much is known about the role of estrogens as a neuroprotective agent following TBI, less is known regarding their formation and inactivation following damage to the brain. Specifically, very little is known surrounding the majority of enzymes responsible for the production of estrogens. These estrogen metabolizing enzymes (EME) include aromatase, steroid sulfatase (STS), estrogen sulfotransferase (EST/SULT1E1), and some forms of 17β-hydroxysteroid dehydrogenase (HSD17B) and are involved in both the initial conversion and interconversion of estrogens from precursors. This article will review and offer new prospective and ideas on the expression of EMEs following TBI.

Indexed as

AnimalsAromataseBrain Injuries, TraumaticEncephalitisEstradiol DehydrogenasesEstrogensHumansNeuroprotective AgentsSteryl-SulfataseSulfotransferasesAromataseEstradiol DehydrogenasesEstrogensestrone sulfotransferaseHSD17B1 protein, humanHSD17B2 protein, humanNeuroprotective AgentsSteryl-SulfataseSulfotransferasesandrogenaromataseestrogenHSD17BsulfataseTBI

Identifiers

PMID32547495
PMCPMC7272601
OpenAlexW3029908888

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.