Evidence map›Paper›PMID 28540180›Full record

ArticleNeuroImage. Clinical2017

Hemoglobin and mean platelet volume predicts diffuse T1-MRI white matter volume decrease in sickle cell disease patients.

Soyoung Choi, Adam M Bush, Matthew T Borzage, Anand A Joshi, William J Mack, Thomas D Coates, Richard M Leahy, John C Wood

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage. Clinical, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

25 citing papers in PubMed, 34 citations in OpenAlex.

  1. Trial
  2. Comorbid ADHD and Pediatric Sickle Cell Disease: Prevalence and Risk Factors.Journal of clinical psychology in medical settings · 2025
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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 2 institutions in 1 country.

Soyoung ChoiNeuroscience Graduate Program, University of Southern California, 3641 Watt Way, HNB 120, Los Angeles, CA 90089-2520, USA; Signal and Image Processing Institution, University of Southern California, 3740 McClintock Avenue, EEB 400, Los Angeles, CA 90089-2560, USA; Department of Pediatrics and Radiology, Children's Hospital Los Angeles USC, 4650 Sunset Blvd., MS #81, Los Angeles, CA 90027, USA. Electronic address: choisoyo@usc.edu.
Adam M BushBiomedical Engineering, University of Southern California, 1042 Downey Way, Los Angeles, CA 90089, USA. Electronic address: adbush@chla.usc.edu.
Matthew T BorzageDepartment of Pediatrics and Radiology, Children's Hospital Los Angeles USC, 4650 Sunset Blvd., MS #81, Los Angeles, CA 90027, USA. Electronic address: borzage@usc.edu.
Anand A JoshiSignal and Image Processing Institution, University of Southern California, 3740 McClintock Avenue, EEB 400, Los Angeles, CA 90089-2560, USA. Electronic address: ajoshi@usc.edu.
William J MackDepartment of Neurosurgery, University of Southern California Keck School of Medicine, 1200 North State St., Suite 3300, Los Angeles, CA 90033, USA. Electronic address: William.Mack@med.usc.edu.
Thomas D CoatesHematology/Oncology, Children's Hospital Los Angeles, 4650 Sunset Blvd. MS #54, Los Angeles, CA 90027, USA. Electronic address: TCoates@chla.usc.edu.
Richard M LeahySignal and Image Processing Institution, University of Southern California, 3740 McClintock Avenue, EEB 400, Los Angeles, CA 90089-2560, USA; Biomedical Engineering, University of Southern California, 1042 Downey Way, Los Angeles, CA 90089, USA. Electronic address: leahy@sipi.usc.edu.
John C WoodDepartment of Pediatrics and Radiology, Children's Hospital Los Angeles USC, 4650 Sunset Blvd., MS #81, Los Angeles, CA 90027, USA; Biomedical Engineering, University of Southern California, 1042 Downey Way, Los Angeles, CA 90089, USA. Electronic address: jwood@chla.usc.edu.
University of Southern California · USChildren's Hospital of Los Angeles · US

Funding

Neuromodulatory Mechanisms and Regional Autonomic Dysregulation in the Development of Pain in Sickle Cell Disease PatientsU01HL117718 · NHLBI · CHILDREN'S HOSPITAL OF LOS ANGELES · PI COATES, THOMAS DUANE, KHOO, MICHAEL C K · 2013 to 2017
$9.6M
Interactive software for semiautomated analysis of structural brain imagesR01NS074980 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LEAHY, RICHARD M, SHATTUCK, DAVID W · 2011 to 2021
$5.0M
Cerebrovascular reserve and white matter disease in patients with anemiaR01HL136484 · NHLBI · CHILDREN'S HOSPITAL OF LOS ANGELES · PI WOOD, JOHN C · 2018 to 2021
$2.5M
Neurotoxicity of Airborne Particles: Role of Chronic Cerebral HypoperfusionR01ES024936 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MACK, WILLIAM J · 2015 to 2019
$2.4M
Predoctoral Training in Interdisciplinary NeurosciencesT32MH111360 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ZEVIN, JASON D · 2016 to 2020
$1.3M
NHLBI NIH HHS R01 HL136484NHLBI NIH HHS U01 HL117718NIEHS NIH HHS R01 ES024936NIMH NIH HHS T32 MH111360NINDS NIH HHS R01 NS074980
6 · The paper itself

Abstract

Sickle cell disease (SCD) is a life-threatening genetic condition. Patients suffer from chronic systemic and cerebral vascular disease that leads to early and cumulative neurological damage. Few studies have quantified the effects of this disease on brain morphometry and even fewer efforts have been devoted to older patients despite the progressive nature of the disease. This study quantifies global and regional brain volumes in adolescent and young adult patients with SCD and racially matched controls with the aim of distinguishing between age related changes associated with normal brain maturation and damage from sickle cell disease. T1 weighted images were acquired on 33 clinically asymptomatic SCD patients (age = 21.3 ± 7.8; F = 18, M = 15) and 32 racially matched control subjects (age = 24.4 ± 7.5; F = 22, M = 10). Exclusion criteria included pregnancy, previous overt stroke, acute chest, or pain crisis hospitalization within one month. All brain volume comparisons were corrected for age and sex. Globally, grey matter volume was not different but white matter volume was 8.1% lower (p = 0.0056) in the right hemisphere and 6.8% (p = 0.0068) in the left hemisphere in SCD patients compared with controls. Multivariate analysis retained hemoglobin (β = 0.33; p = 0.0036), sex (β = 0.35; p = 0.0017) and mean platelet volume (β = 0.27; p = 0.016) as significant factors in the final prediction model for white matter volume for a combined r

Indexed as

Anemia, Sickle CellMean Platelet VolumeAdolescentAdultBrainChildFemaleHemoglobinsHumansMagnetic Resonance ImagingMaleWhite MatterYoung AdultHemoglobinsACA, anterior cerebral arteryGM, grey matterHemoglobinHgB, hemoglobinMCA, middle cerebral arteryMean platelet volumeMPV, mean platelet volumeMRI, magnetic resonance imagingPCA, posterior cerebral arteryROI, region of interestSCD, sickle cell diseaseSickle cell diseaseStructural MRIWhite matterWMHI, white matter hyperintensitiesWM, white matter

Identifiers

PMID28540180
PMCPMC5430155
OpenAlexW2607620892

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.