Evidence map›Paper›PMID 37981626›Full record

ArticleEuropean journal of hybrid imaging2023

Association between body mass index (BMI) and [

Puja Parekh, Patrick Begley, Maryam Jessop, Mark Aplin, Elena Missir, Helena McMeekin, Gosia Raczek, Nitasha Singh, Sabina Dizdarevic

Open access · goldAbstract read
In one paragraph

Article in European journal of hybrid imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 75% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 4 institutions in 1 country.

Puja ParekhBrighton and Sussex Medical School, Brighton, England.
Patrick BegleyNuclear Medicine Department, Royal Sussex County Hospital, University Hospitals Sussex NHS Foundation Trust, Brighton, England.
Maryam JessopNuclear Medicine Department, Royal Sussex County Hospital, University Hospitals Sussex NHS Foundation Trust, Brighton, England.
Mark AplinNuclear Medicine Department, Royal Sussex County Hospital, University Hospitals Sussex NHS Foundation Trust, Brighton, England.
Elena MissirBrighton and Sussex Medical School, Brighton, England.
Helena McMeekinHermes Medical Solutions, London, England.
Gosia RaczekBrighton and Sussex Medical School, Brighton, England.
Nitasha SinghNuclear Medicine Department, Royal Sussex County Hospital, University Hospitals Sussex NHS Foundation Trust, Brighton, England.
Sabina DizdarevicClinical Imaging Science Centre, Neuroscience and Medicine, Brighton and Sussex Medical School, Brighton, England. sabina.dizdarevic@nhs.net.
Royal Sussex County Hospital · GBBrighton and Sussex Medical School · GBHermes Medical Solutions (United Kingdom) · GBUniversity Hospitals Sussex NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aim[

methodScans from 74 consecutive patients who had undergone DaTSCAN single-photon emission computed tomography-computed tomography (SPECT-CT) were used to obtain semi- and absolute quantitative data in several volumes of interest (VOIs). Relative semi-quantitative specific binding ratios (SBRs) from Chang attenuated SPECT were obtained from GE DaTQUANT. Absolute normalised concentration (NC) was calculated from attenuation/scatter corrected SPECT-CT images, using an adapted version of the EARL Ltd (European Association of Nuclear Medicine (EANM) Research 4 Life) template. Scans were subdivided into either degenerative parkinsonism (abnormal = 49), borderline (n = 14) or scan without evidence of dopaminergic deficit (SWEDD = 11) using visual assessment and SBR values by two nuclear medicine consultants.

resultsSBRs did not correlate with BMI. However, NC values correlated negatively in the entire cohort, with the strongest correlation in the frontal (r = - 0.649. p = 0.000), occipital (r = - 0.555, p = 0.000) regions and pons (r = - 0.555, p = 0.000). In the abnormal (n = 49) and SWEDD group (n = 11), NC of the frontal region was the most correlated with BMI (r = - 0.570, p = 0.000; r = - 0.813, p = 0.002, respectively). In the borderline group (n = 14), the left posterior putamen displayed the strongest correlation (r = - 0.765, p = 0.001).

conclusionAbsolute NC values demonstrate a strong inverse correlation with BMI, strongest in the extrastriatal regions. Due to the predominately non-overlapping distribution of DaT and SERT, this study suggests greater involvement of SERT in obesity with possible interplay with DA transmission.

Indexed as

BMIDaTQUANTDaTSCANObesitySpecific binding ratios

Identifiers

PMID37981626
PMCPMC10657921
OpenAlexW4388814339

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.