Evidence map›Paper›PMID 24418360›Full record

ReviewMolecular and cellular endocrinology2014

Brain sex matters: estrogen in cognition and Alzheimer's disease.

Rena Li, Jie Cui, Yong Shen

Abstract readReview
In one paragraph

Review in Molecular and cellular endocrinology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 1 pooled it
7.5field-weighted citation impact, top 3% 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

72 citing papers in PubMed, 1 synthesis or guideline pooled it, 138 citations in OpenAlex.

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12 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

Rena LiCenter for Hormone Advanced Science and Education (CHASE), Roskamp Institute, Sarasota, FL 34243, United States. Electronic address: rli@rfdn.org.
Jie CuiCenter for Hormone Advanced Science and Education (CHASE), Roskamp Institute, Sarasota, FL 34243, United States.
Yong ShenCenter for Advanced Therapeutic Strategies for Brain Disorders (CATSBD), Roskamp Institute, Sarasota, FL 34243, United States.
Roskamp Institute · US

Funding

Novel roles of TNF death receptor in amyloidosis in vivoR01AG025888 · NIA · ROSKAMP INSTITUTE, INC. · PI SHEN, YONG · 2006 to 2014
$3.2M
The role of estrogen receptors in Alzheimer?s diseaseR01AG032441 · NIA · ROSKAMP INSTITUTE, INC. · PI LI, RENA · 2009 to 2012
$1.3M
NIA NIH HHS R01 AG025888NIA NIH HHS R01AG025888NIA NIH HHS R01 AG032441NIA NIH HHS R01AG032441-01
6 · The paper itself

Abstract

Estrogens are the primary female sex hormones and play important roles in both reproductive and non-reproductive systems. Estrogens can be synthesized in non-reproductive tissues such as liver, heart, muscle, bone and the brain. During the past decade, increasing evidence suggests that brain estrogen can not only be synthesized by neurons, but also by astrocytes. Brain estrogen also works locally at the site of synthesis in paracrine and/or intracrine fashion to maintain important tissue-specific functions. Here, we will focus on the biology of brain estrogen and its impact on cognitive function and Alzheimer's disease. This comprehensive review provides new insights into brain estrogens by presenting a better understanding of the tissue-specific estrogen effects and their roles in healthy ageing and cognitive function.

Indexed as

Age FactorsAlzheimer DiseaseBrainCognitionCognition DisordersEstrogensFemaleHumansMaleSex FactorsEstrogensAlzheimer’s diseaseBrain estrogenCognition

Identifiers

PMID24418360
PMCPMC4040318
OpenAlexW2029225735

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.