Evidence map›Paper›PMID 32747892›Full record

ArticleRomanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie2020

Genetic aspects in schizophrenia. Receptoral theories. Metabolic theories.

Simona Corina Trifu, Anca Vlăduţi, Antonia Ioana Trifu

Abstract read
In one paragraph

Article in Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Morphopathological approaches in alcoholism.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
    Article
  6. Biomarkers in schizophrenia - past, present and future.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
    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.

Simona Corina TrifuDepartment of Neurosciences, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania; simonatrifu@yahoo.com.
Anca Vlăduţi
Antonia Ioana Trifu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ties between schizophrenia (SCZ) and genetics are undeniably significant issue prone to be discussed in the nowadays psychology. Recent research on this domain focuses more on specific genes and heredity (specifically monozygotic pairs of twins) for diagnosing SCZ, than on environmental influences. SCZ is considered a multifactorial disease, thought to convert from a merger of risk and biological genes and environmental factors that could alter and reshape the trajectory of brain development. On this regard, this review sums up recent and innovative methods of distinguishing schizophrenic features from other mental illnesses in patients, based on chromosomal and genes changes. The term "reverse genetics" is no longer up to date, being replaced with "genome scanning" and "positional cloning". For many researchers, genome scanning is continuing the reverse of the sensible strategy for detecting various important biological disorders, which may start from the discovery of a protein or any other molecule involved in a biological process, being followed by its gene cloning. Genes being discovered in this manner could become candidate genes for the disease. However, genome scanning occurs through testing each chromosomal segment (or mitochondrial genome) for the counter transmission of the disease.

Indexed as

Genetic Predisposition to DiseaseHumansSchizophrenia

Identifiers

PMID32747892
PMCPMC7728101

What OpenQuestion holds

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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.