Evidence map›Paper›PMID 34939173›Full record

Observational studyEuropean journal of nuclear medicine and molecular imaging2022

Usefulness of brain FDG PET/CT imaging in pediatric patients with suspected autoimmune encephalitis from a prospective study.

Yafu Yin, Jing Wu, Shuqi Wu, Suyun Chen, Weiwei Cheng, Ling Li, Hui Wang

Registry-linked trialOpen access · hybridAbstract readObservational Study
In one paragraph

Observational study in European journal of nuclear medicine and molecular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02969213 (Big Data Construction and Biological Etiological Epidemiology Study of Children Epilepsy in China), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 13% 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.

NCT02969213 unknown statusnot on this map

Big Data Construction and Biological Etiological Epidemiology Study of Children Epilepsy in China

TypeobservationalSponsorXinhua Hospital, Shanghai Jiao Tong University School of MedicineRan2016 to 2019Enrolled10,000ConditionsEpilepsy
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. The clinical and predictive value ofCNS neuroscience & therapeutics · 2024
    Article
  4. Article
  5. 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

7 authors at 1 institution in 1 country.

Yafu Yin *Department of Nuclear Medicine, Yangpu District, Xinhua Hospital Affiliated To Shanghai Jiao Tong University School of Medicine, Kongjiang Road 1665, Shanghai City, 200092, China. yinyafu@xinhuamed.com.cn.ORCID http://orcid.org/0000-0002-4818-6655
Jing Wu *Department of Pediatric Neurology, Yangpu District, Xinhua Hospital Affiliated To Shanghai Jiao Tong University School of Medicine, Kongjiang Road 1665, Shanghai City, 200092, China.
Shuqi WuDepartment of Nuclear Medicine, Yangpu District, Xinhua Hospital Affiliated To Shanghai Jiao Tong University School of Medicine, Kongjiang Road 1665, Shanghai City, 200092, China.
Suyun ChenDepartment of Nuclear Medicine, Yangpu District, Xinhua Hospital Affiliated To Shanghai Jiao Tong University School of Medicine, Kongjiang Road 1665, Shanghai City, 200092, China.
Weiwei ChengDepartment of Nuclear Medicine, Yangpu District, Xinhua Hospital Affiliated To Shanghai Jiao Tong University School of Medicine, Kongjiang Road 1665, Shanghai City, 200092, China.
Ling LiDepartment of Pediatric Neurology, Yangpu District, Xinhua Hospital Affiliated To Shanghai Jiao Tong University School of Medicine, Kongjiang Road 1665, Shanghai City, 200092, China. liling@xinhuamed.com.cn.
Hui WangDepartment of Nuclear Medicine, Yangpu District, Xinhua Hospital Affiliated To Shanghai Jiao Tong University School of Medicine, Kongjiang Road 1665, Shanghai City, 200092, China. wanghui@xinhuamed.com.cn.
Shanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEarly diagnosis and treatment are of paramount importance for pediatric patients with autoimmune encephalitis (AE). The aim is to evaluate the usefulness of FDG PET/CT in pediatric patients with suspected AE from a prospective study.

methodsThe prospective study was conducted over a period of 23.5 months from May 14, 2019, to April 30, 2021. All patients (< 18-year-old) were hospitalized at the department of pediatric neurology and met the criteria of clinical suspected AE. The children underwent the tests of blood samplings, CSF, EEG, MRI, and

resultsOne hundred four pediatric inpatients (57 boys, 47 girls) were included, of which 58 children were diagnosed with AE (seropositive, 16; seronegative, 42), 45 children were diagnosed with non-AE, and one boy remained indeterminate diagnosis. Large lobar hypometabolism was found in 61 children, of which 54 (88.5%) children were finally diagnosed with AE. The sensitivity, specificity, and accuracy of FDG PET/CT for diagnosis of AE were 93.1%, 84.4%, and 89.3%, respectively, with a positive predictive value of 88.5% and a negative predictive value of 90.5%. The most common involved with hypometabolism was the parietal lobe, followed by occipital and frontal lobes, finally the temporal lobe on PET/CT in children with AE.

conclusionBrain FDG PET/CT imaging has high specificity, sensitivity, and accuracy for diagnosis of AE in clinical suspected AE children.

trial registrationCLINICAL TRIALS: gov. NCT02969213. Registered 17 October 2016.

Indexed as

EncephalitisFluorodeoxyglucose F18AdolescentBrainChildFemaleHashimoto DiseaseHumansMalePositron-Emission TomographyPositron Emission Tomography Computed TomographyProspective StudiesRadiopharmaceuticalsSensitivity and SpecificityFluorodeoxyglucose F18RadiopharmaceuticalsAutoimmune encephalitisFDG PET/CTLobar hypometabolismSuspected AE

Identifiers

PMID34939173
PMCPMC9016000
OpenAlexW4200114343

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.