Evidence map›Paper›PMID 25171901›Full record

ReviewCurrent neurology and neuroscience reports2014

Imaging frontotemporal lobar degeneration.

Janine Diehl-Schmid, Oezguer A Onur, Jens Kuhn, Traugott Gruppe, Alexander Drzezga

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current neurology and neuroscience reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Musicality is Preserved in Neurodegeneration.The Yale journal of biology and medicine · 2026
    Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. 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

5 authors.

Janine Diehl-SchmidDepartment of Psychiatry and Psychotherapy, Technische Universität München, München, Germany.
Oezguer A Onur
Jens Kuhn
Traugott Gruppe
Alexander Drzezga

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The term frontotemporal lobar degeneration (FTLD) refers to a group of neurodegenerative disorders that target the frontal and temporal lobes. It accounts for approximately 10 % of pathologically confirmed dementias but has been demonstrated to be as prevalent as Alzheimer's disease in patients below the age of 65. The 3 major clinical syndromes associated with FTLD include behavioral variant frontotemporal dementia, semantic and nonfluent variants of primary progressive aphasia. The more recently introduced term logopenic variant appears to represent an atypical form of Alzheimer's disease in the majority of cases. The neuropathology underlying these clinical syndromes is very heterogeneous and does not correlate well with the clinical phenotype. This causes great difficulties in early and reliable diagnosis and treatment of FTLD. However, significant advances have been made in recent years via the application of magnetic resonance imaging and positron emission tomography imaging methods as biomarkers. The current review aims to provide a synopsis on the value of magnetic resonance imaging-based and molecular imaging procedures in FTLD.

Indexed as

BrainNeuroimagingC9orf72 ProteinFluorodeoxyglucose F18Frontotemporal Lobar DegenerationHumansIntercellular Signaling Peptides and ProteinsMutationProgranulinsProteinsRadiographyRadionuclide Imagingtau ProteinsC9orf72 ProteinC9orf72 protein, humanFluorodeoxyglucose F18GRN protein, humanIntercellular Signaling Peptides and ProteinsProgranulinsProteinstau Proteins

Identifiers

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.