Evidence map›Paper›PMID 37629533›Full record

ReviewLife (Basel, Switzerland)2023

Insights into Sex and Gender Differences in Brain and Psychopathologies Using Big Data.

Aura Zelco, Pattama Wapeesittipan, Anagha Joshi

Abstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Differential Effect of Chronic Morphine on Neuronal Degeneration in Male vs. Female Mice.Pathophysiology : the official journal of the International Society for Pathophysiology · 2024
    Article
  3. Article
  4. 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

3 authors.

Aura ZelcoDepartment of Clinical Science, Computational Biology Unit, University of Bergen, 5020 Bergen, Norway.ORCID 0000-0002-5851-6355
Pattama WapeesittipanDepartment of Clinical Science, Computational Biology Unit, University of Bergen, 5020 Bergen, Norway.
Anagha JoshiDepartment of Clinical Science, Computational Biology Unit, University of Bergen, 5020 Bergen, Norway.

Funding

Bergen Research Foundation BFS2017TMT01
6 · The paper itself

Abstract

The societal implication of sex and gender (SG) differences in brain are profound, as they influence brain development, behavior, and importantly, the presentation, prevalence, and therapeutic response to diseases. Technological advances have enabled speed up identification and characterization of SG differences during development and in psychopathologies. The main aim of this review is to elaborate on new technological advancements, such as genomics, imaging, and emerging biobanks, coupled with bioinformatics analyses of data generated from these technologies have facilitated the identification and characterization of SG differences in the human brain through development and psychopathologies. First, a brief explanation of SG concepts is provided, along with a developmental and evolutionary context. We then describe physiological SG differences in brain activity and function, and in psychopathologies identified through imaging techniques. We further provide an overview of insights into SG differences using genomics, specifically taking advantage of large cohorts and biobanks. We finally emphasize how bioinformatics analyses of big data generated by emerging technologies provides new opportunities to reduce SG disparities in health outcomes, including major challenges.

Indexed as

bioinformaticsgenomicsimagingneurodegenerative disorderspsychopathologysex and gender

Identifiers

PMID37629533
PMCPMC10455614

What OpenQuestion holds

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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.