Evidence map›Paper›PMID 32075025›Full record

ArticleBrain sciences2020

Sex Stratified Treatment of Neurological Disorders: Challenges and Perspectives.

Ivan Nalvarte

Abstract readEditorial
In one paragraph

Article in Brain sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

1 author.

Ivan NalvarteDepartment of Biosciences and Nutrition, Karolinska Institutet, Huddinge 141 57, Sweden.

Funding

Karolinska Institutet FS-2018:0007
6 · The paper itself

Abstract

Despite the obvious sex differences in many of the most common neuropsychiatric and neurodegenerative disorders, males and females are still often treated the same from a clinical perspective. Why is that? The simple answer is that there is still too little known about this very complex matter. Sex hormone signaling, genetic sex, sex-biased comorbidities, and social gender perceptions all interact, making discrimination between the impacts of each of these factors hard to evaluate. Adding to the complexity is that important species differences must be taken into account when interpreting data from animal models. Clearly, to overcome this, larger efforts are needed that incorporate epidemiological, experimental, and clinical data to provide a solid scientific base for more personalized and informed clinical decisions that will benefit both men and women suffering from neurological disorders.

Indexed as

genderneurobiologyneurodegenerationsex chromosomesex hormone

Identifiers

PMID32075025
PMCPMC7071507

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.