Evidence map›Paper›PMID 27354166›Full record

ArticleAmerican journal of medical genetics. Part A2016

Neurophysiology versus clinical genetics in Rett syndrome: A multicenter study.

Nicky Halbach, Eric E Smeets, Peter Julu, Ingegerd Witt-Engerström, Giorgio Pini, Stefania Bigoni, Stig Hansen, Flora Apartopoulos, Robert Delamont, Kees van Roozendaal and 4 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in American journal of medical genetics. Part A, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
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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

14 authors at 7 institutions in 4 countries.

Nicky HalbachNetherlands Rett Expertise Center-GKC, Maastricht University Medical Center, Maastricht, The Netherlands.
Eric E SmeetsNetherlands Rett Expertise Center-GKC, Maastricht University Medical Center, Maastricht, The Netherlands.
Peter JuluNeurodegeneration and Neuroinflamation, Imperial College London, London, United Kingdom.
Ingegerd Witt-EngerströmThe National Swedish Rett Center, Frösön, Sweden.
Giorgio PiniTuscany Rett Center, Versilia Hospital, Camaiore (Lucca), Italy.
Stefania BigoniMedical Genetic Unit, Ferrara University Hospital, Ferrara, Italy.
Stig HansenInstitute of Neurological Sciences, Southern General Hospital, NHS Greater, Glasgow and Clyde, Ferrara, United Kingdom.
Flora ApartopoulosInstitute of Neurological Sciences, Southern General Hospital, NHS Greater, Glasgow and Clyde, Ferrara, United Kingdom.
Robert DelamontRegional Neuroscience Center, King's College Hospital NHS Foundation Trust and King's College London, London, United Kingdom.
Kees van RoozendaalClinical Genomics, Maastricht University Medical Center, Maastricht, The Netherlands.
Maria F ScusaTuscany Rett Center, Versilia Hospital, Camaiore (Lucca), Italy.
Paolo BorelliDivision of Neurology, Versilia Hospital, Camaiore (Lucca), Italy.
Math CandelDepartment of Methodology and Statistics, School for Public Health and Primary Care CAPHRI, Maastricht University, Maastricht, The Netherlands.
Leopold CurfsNetherlands Rett Expertise Center-GKC, Maastricht University Medical Center, Maastricht, The Netherlands.
Maastricht University · NLOspedale Versilia · ITNHS Greater Glasgow and Clyde · GBImperial College London · GBKing's College London · GBMaastricht University Medical Centre · NLUniversity of Ferrara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many studies have attempted to establish the genotype-phenotype correlation in Rett syndrome (RTT). Cardiorespiratory measurements provide robust objective data, to correlate with each of the different clinical phenotypes. It has important implications for the management and treatment of this syndrome. The aim of this study was to correlate the genotype with the quantitative cardiorespiratory data obtained by neurophysiological measurement combined with a clinical severity score. This international multicenter study was conducted in four European countries from 1999 to 2012. The study cohort consisted of a group of 132 well-defined RTT females aged between 2 and 43 years with extended clinical, molecular, and neurophysiological assessments. Diagnosis of RTT was based on the consensus criteria for RTT and molecular confirmation. Genotype-phenotype analyses of clinical features and cardiorespiratory data were performed after grouping mutations by the same type and localization or having the same putative biological effect on the MeCP2 protein, and subsequently on eight single recurrent mutations. A less severe phenotype was seen in females with CTS, p.R133C, and p.R294X mutations. Autonomic disturbances were present in all females, and not restricted to nor influenced by one specific group or any single recurrent mutation. The objective information from non-invasive neurophysiological evaluation of the disturbed central autonomic control is of great importance in helping to organize the lifelong care for females with RTT. Further research is needed to provide insights into the pathogenesis of autonomic dysfunction, and to develop evidence-based management in RTT. © 2016 Wiley Periodicals, Inc.

Indexed as

Genetic Association StudiesGenotypeMutationPhenotypeAdolescentAdultAllelesChildChild, PreschoolFemaleHumansMaleMethyl-CpG-Binding Protein 2Neuropsychological TestsRett SyndromeSeverity of Illness IndexMethyl-CpG-Binding Protein 2MECP2neurophysiologyRett syndrome

Identifiers

PMID27354166
PMCPMC5157762
OpenAlexW2470586847

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.