Evidence map›Paper›PMID 27786169›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2016

Therapeutic Potential of Transcranial Focused Ultrasound for Rett Syndrome.

Shih-Jen Tsai

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. 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.

Shih-Jen TsaiDepartment of Psychiatry, Taipei Veterans General Hospital, Taiepi, Taiwan.
Taipei Veterans General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rett syndrome (RTT) is a severe neurodevelopmental disorder occurring almost exclusively in females and is caused by loss-of-function mutations in the gene encoding methyl-CpG-binding protein 2 (MeCP2) in the majority of cases. MeCP2 is essential for the normal function of nerve cells, including neuronal development, maturation, and synaptic activity. RTT is characterized by normal early development followed by autistic-like features, slowed brain and head growth, gait abnormalities, seizures, breathing irregularities, and cognitive disabilities. Medical management in RTT remains supportive and symptomatic. Brain-derived neurotrophic factor (BDNF) has been implicated in the pathophysiology of RTT. Recent studies have shown a phenotypic reversal by increasing BDNF expression in a RTT mouse model. Thus, manipulation of BDNF expression/signaling in the brain could be therapeutic for this disease. Transcranial focused ultrasound for (tFUS) can noninvasively focally modulate human cortical function, stimulate neurogenesis, and increase BDNF in animal studies. Consequently, tFUS may be of therapeutic potential for Rett syndrome. Further evaluation of the therapeutic effects of tFUS in Mecp2 deficient animal models is needed before clinical trials can begin.

Indexed as

AnimalsBrain-Derived Neurotrophic FactorDisease Models, AnimalFemaleHumansMethyl-CpG-Binding Protein 2MiceRett SyndromeUltrasonography, Doppler, TranscranialBDNF protein, humanBrain-Derived Neurotrophic FactorMECP2 protein, humanMethyl-CpG-Binding Protein 2

Identifiers

PMID27786169
PMCPMC5087669
OpenAlexW2543998074

What OpenQuestion holds

Textmetadata
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.