Evidence map›Paper›PMID 19826499›Full record

ReviewJournal of biomedicine & biotechnology2009

Diagnosis of Charcot-Marie-Tooth disease.

Isabel Banchs, Carlos Casasnovas, Antonia Albertí, Laura De Jorge, Mónica Povedano, Jordi Montero, Juan Antonio Martínez-Matos, Victor Volpini

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of biomedicine & biotechnology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

37 citing papers in PubMed, 86 citations in OpenAlex.

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  9. Novel Variants inGenes · 2023
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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

8 authors at 3 institutions in 1 country.

Isabel BanchsMolecular Diagnosis Center of Inherited Diseases, Institut de Investigació Biomèdica de Bellvitge, Gran Via 199, 08907 L'Hospitalet de Llobregat, Barcelona, Spain.
Carlos Casasnovas
Antonia Albertí
Laura De Jorge
Mónica Povedano
Jordi Montero
Juan Antonio Martínez-Matos
Victor Volpini
Institut d'Investigació Biomédica de Bellvitge · ESAjuntament de L’Hospitalet · ESBellvitge University Hospital · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Charcot-Marie-Tooth (CMT) disease or hereditary motor and sensory neuropathy (HMSN) is a genetically heterogeneous group of conditions that affect the peripheral nervous system. The disease is characterized by degeneration or abnormal development of peripheral nerves and exhibits a range of patterns of genetic transmission. In the majority of cases, CMT first appears in infancy, and its manifestations include clumsiness of gait, predominantly distal muscular atrophy of the limbs, and deformity of the feet in the form of foot drop. It can be classified according to the pattern of transmission (autosomal dominant, autosomal recessive, or X linked), according to electrophysiological findings (demyelinating or axonal), or according to the causative mutant gene. The classification of CMT is complex and undergoes constant revision as new genes and mutations are discovered. In this paper, we review the most efficient diagnostic algorithms for the molecular diagnosis of CMT, which are based on clinical and electrophysiological data.

Indexed as

AnimalsCharcot-Marie-Tooth DiseaseChromosome MappingElectrophysiologyGene Expression ProfilingHumansMiceNervous System DiseasesPeripheral NervesPrevalence

Identifiers

PMID19826499
PMCPMC2760395
OpenAlexW2009032071

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.