Evidence map›Paper›PMID 25632881›Full record

SynthesisThe Cochrane database of systematic reviews2015

Dopamine transporter imaging for the diagnosis of dementia with Lewy bodies.

Jenny McCleery, Shirlony Morgan, Kevin M Bradley, Anna H Noel-Storr, Olaf Ansorge, Chris Hyde

Open access · bronzeAbstract readSystematic Review
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 6 pooled it
6.3field-weighted citation impact, top 3% 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

48 citing papers in PubMed, 6 syntheses or guidelines pooled it, 90 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Recommendations of the 5th Canadian Consensus Conference on the diagnosis and treatment of dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2020
    Guideline
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Visual and Semiquantitative Assessment ofJournal of clinical medicine · 2026
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. AI-based differential diagnosis of dementia etiologies on multimodal data.medRxiv : the preprint server for health sciences · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Specific Challenges in Geriatric Cirrhosis and Hepatic Encephalopathy.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2022
    Review
  18. Imaging Dopaminergic Neurotransmission in Neurodegenerative Disorders.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
    Article
  19. Article
  20. Review
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

6 authors at 5 institutions in 1 country.

Jenny McCleeryOxford Health NHS Foundation Trust, Elms Centre, Oxford Road, Banbury, Oxfordshire, UK, OX16 9AL.
Shirlony Morgan
Kevin M Bradley
Anna H Noel-Storr
Olaf Ansorge
Chris Hyde
John Radcliffe Hospital · GBCentral and North West London NHS Foundation Trust · GBChurchill Hospital · GBOxford Health NHS Foundation Trust · GBUniversity of Exeter · GB

Funding

Department of Health 10/4001/05
6 · The paper itself

Abstract

backgroundDementia with Lewy bodies (DLB) is a common cause of neurodegenerative dementia of old age. Its accurate recognition can be important in clinical management and is essential for the development of disease-modifying treatments. The current clinical diagnostic criteria are limited particularly by relatively poor sensitivity. Dopamine transporter (DAT) imaging using single-photon emission computed tomography (SPECT) is the most highly developed supplementary test for DLB, and is now incorporated as a suggestive feature in the consensus diagnostic criteria. However, there is uncertainty about its accuracy and its place in clinical practice. It is most commonly used in people who are already suspected of having DLB.

objectivesWe had two objectives in this review: (A) to estimate the accuracy of DAT imaging for the diagnosis of DLB in people with dementia in secondary care (specialist dementia services), and (B) to estimate the accuracy of DAT imaging for the diagnosis of DLB in people with dementia in secondary care who are already suspected of having DLB on the basis of a prior clinical work-up. SEARCH

methodsWe searched MEDLINE (1946 to February 2013), Embase (1980 to February 2013), BIOSIS Previews (1926 to February 2013), PsycINFO (1806 to February 2013), CINAHL (1982 to February 2013), LILACS (February 2013) and Web of Science and Conference Proceedings (ISI Web of Science) (1945 to February 2013). Several of these sources contain conference abstracts. We also searched four specialised databases containing diagnostic reviews: Meta-analyses van Diagnostisch Onderzoek (MEDION; February 2013), Database of Abstracts of Reviews of Effects (DARE; February 2013), Health Technology Assessment Database (HTA; February 2013), and Aggressive Research Intelligence Facility (ARIF; February 2013). We checked reference lists of relevant studies and reviews for potential additional studies. Terms for electronic database searching were devised in conjunction with the team at the Cochrane Dementia and Cognitive Improvement Group. SELECTION CRITERIA: STUDY

designWe included test accuracy studies with delayed verification, diagnostic case-control studies, and two-gate studies with alternative diagnosis controls.

participants(A) participants with dementia in secondary care, (B) participants in secondary care meeting consensus clinical criteria (other than the DAT imaging criterion) for possible or probable DLB, or both. INDEX TEST: SPECT or positron emission tomography (PET) imaging of brain dopamine transporters. Reference standard: Neuropathological diagnosis at autopsy. DATA COLLECTION AND ANALYSIS: Two review authors independently selected studies for inclusion and extracted data. We extracted results into a 2x2 table, showing the binary test results cross-classified with the binary reference standard. We used this data to calculate sensitivities, specificities, and their 95% confidence intervals. We used the QUADAS-2 tool plus some additional items to assess methodological quality. MAIN

resultsWe included one study that was applicable to our first objective (A). It reported data on 22 participants who met consensus clinical criteria for DLB or National Institute of Neurological and Communicative Disorders and Stroke and the Alzheimer's Disease and Related Disorders Association (NINCDS-ADRDA) criteria for Alzheimer's disease, or both (a two-gate design with alternative diagnosis controls). The index test was SPECT scanning using the ligand (123)I-FP-CIT. We considered the study to be at high risk of bias in the participant selection and index test domains (QUADAS-2). (123)I-FP-CIT SPECT analysed semiquantitatively had a sensitivity of 1.00 (95% confidence interval (CI) 0.66 to 1.00) and a specificity of 0.92 (95% CI 0.64 to 1.00) for the diagnosis of DLB (n = 22, 1 study). Analysed visually, the sensitivity was 0.86 (95% CI 0.42 to 1.00) and the specificity was 0.83 (95% CI 0.52 to 0.98) (n = 19, 1 study).We considered that the study also provided the best available data to address our second objective (B). At baseline, 15 participants were clinically suspected of having DLB. In this group, (123)I-FP-CIT SPECT scanning analysed semiquantitatively had a sensitivity of 1.00 (95% CI 0.63 to 1.00) and a specificity of 1.00 (95% CI 0.59 to 1.00) for the diagnosis of DLB (n = 15, 1 study). Analysed visually, accuracy in this group was lower with a sensitivity of 0.83 (95% CI 0.36 to 1.00) and a specificity of 0.71 (95% CI 0.29 to 0.96) (n = 13, 1 study). AUTHORS'

conclusionsOnly one study has used a neuropathological reference standard to assess the accuracy of DAT imaging for the diagnosis of DLB. The small size of the included study means that sensitivity and specificity estimates are imprecise. However, data from this study suggest that DAT imaging is more accurate than clinical diagnosis. Clinical diagnosis is therefore unsuitable to use as a reference standard for assessing the accuracy of DAT imaging.No studies using a neuropathological reference standard have directly addressed the common clinical scenario where the use of DAT imaging is considered as a diagnostic test in a person with possible DLB, or assessed the accuracy of DAT imaging in people with mild dementia. However, the data from the included study suggest that, where there is moderately severe dementia and a strong pre-existing suspicion of DLB (probable DLB), then a normal (123)I-FP-CIT SPECT scan may be an accurate means of excluding the diagnosis.Semiquantitative ratings of (123)I-FP-CIT SPECT scans appeared to be more accurate than visual ratings in all analyses.

Indexed as

Dopamine Plasma Membrane Transport ProteinsIodine RadioisotopesTomography, Emission-Computed, Single-PhotonTropanesAlzheimer DiseaseBrainDiagnosis, DifferentialHumansLewy Body DiseaseSensitivity and Specificity2-carbomethoxy-8-(3-fluoropropyl)-3-(4-iodophenyl)tropaneDopamine Plasma Membrane Transport ProteinsIodine RadioisotopesTropanes

Identifiers

PMID25632881
PMCPMC7079709
OpenAlexW1724755584

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.