Home › Research › Brain scans and imaging
Diffusion tensor imaging in parkinsonian syndromes: a systematic review and meta-analysis
Cochrane CJ, Ebmeier KP.. Neurology, 2013-02-01
Topic: Brain proteins, microglia and lab models
Objectives We performed a systematic review to assess alterations in measures of diffusion tensor imaging (DTI) in parkinsonian syndromes, exploring the potential role of DTI in diagnosis and as a candidate biomarker. Methods We searched EMBASE and Medline databases for DTI studies comparing parkinsonian syndromes or related dementias with controls or another defined parkinsonian syndrome. Key details for each study regarding participants, imaging methods, and results were extracted. Estimates were pooled, where appropriate, by random-effects meta-analysis. Results Of 333 results, we identified 43 studies suitable for inclusion (958 patients, 764 controls). DTI measures detected alterations in all parkinsonian syndromes, with distribution varying differentially with disease type. Nine studies were included in a meta-analysis of the substantia nigra in Parkinson disease. A notable effect size was found for lowered fractional anisotropy in the substantia nigra for patients with Parkinson disease vs controls (-0.639, 95% confidence interval -0.860 to -0.417, p < 0.0001). Conclusion DTI may be a promising biomarker in parkinsonian syndromes and have a future role in differential diagnosis. Larger cohort studies are required to investigate some encouraging preliminary findings. Given the complexity of the parkinsonian syndromes, it is likely that any potential DTI biomarker would be used in combination with other relevant biomarkers.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Cochrane, C. J., & Ebmeier, K. P. (2013). Diffusion tensor imaging in parkinsonian syndromes: a systematic review and meta-analysis. Neurology. https://doi.org/10.1212/wnl.0b013e318284070c
Vancouver
Cochrane CJ, Ebmeier KP. Diffusion tensor imaging in parkinsonian syndromes: a systematic review and meta-analysis. Neurology. 2013. doi:10.1212/wnl.0b013e318284070c. PMID: 23439701.
BibTeX
@article{cochrane2013-23439701,
author = {Cochrane, C. J. and Ebmeier, K. P.},
title = {{Diffusion tensor imaging in parkinsonian syndromes: a systematic review and meta-analysis}},
journal = {Neurology},
year = {2013},
doi = {10.1212/wnl.0b013e318284070c},
pmid = {23439701},
url = {https://doi.org/10.1212/wnl.0b013e318284070c}
}
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.
Key findings
- Key details for each study regarding participants, imaging methods, and results were extracted.
- Results Of 333 results, we identified 43 studies suitable for inclusion (958 patients, 764 controls).
New to this subject? Start with our plain-English guide: Brain scans & tests →
Study details
- Study designsystematic review
- Participants958
- Evidence strengthHigh
How this study scored 76/100
Published in a leading specialty journal, and it is a systematic review of all the studies on the question. Scored zero for effect reported because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record and multi-centre collaboration, so those were left out: it earned 44 of the 58 points we could judge it on, which is 76 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 9 / 10 | Tier 2 — leading specialty journal (Neurology) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 12 / 12 | A systematic review of all the studies on the question |
| Strength of evidence | 5 / 5 | Rated “high” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 1 / 5 | 2013 — within 20 year(s) of the newest study here |
| Sample size | 2 / 4 | 958 participants |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomised / blinded | 0 / 2 | A review of other studies — randomisation is not credited here |
| Times cited | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multi-centre collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 23439701) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Points | 44 / 58 | Scored on 11 of 20 parts. We have no data for the rest, so they are left out: 44 of the 58 points we could judge it on is 76 out of 100. |
| Total | 76 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
Free copy unknown: no free-copy check has an answer for this record yet. That does not mean it is paywalled.
Related studies in Brain scans and imaging
Also tagged “tensor-imaging”
6 studies in the library carry the topic tag “tensor-imaging”; these are this study's neighbours in a fixed, alphabetical-by-hash tour of them, not the closest in content. All 6 tagged studies.