ArticleEJNMMI research2022
Diagnostic models for fever of unknown origin based on
Article in EJNMMI research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed, 11 citations in OpenAlex.
- Distinguishing lymphoma from benign lymphadenopathy in fever of unknown origin using a diagnostic model based on PET/CT and clinical-laboratory parameters.EJNMMI research · 2026Article
- Diagnostic Value of Lymph Node Biopsy in Adult Patients with Classic Fever of Unknown Origin Accompanied by Lymphadenopathy.Journal of clinical medicine · 2026Article
- Unsupervised clustering of PET/CT features in fever of unknown origin (FUO) and inflammation of unknown origin (IUO).Frontiers in medicine · 2026Article
- Clinical and Laboratory Discriminators for Tuberculosis and Lymphoma in Adults Presenting with Fever of Unknown Origin: A Prospective Cohort Study.International journal of general medicine · 2026Article
- PET/CT radiomics-biomarker diagnostic model for identifying lymphoma in fever of unknown origin.Frontiers in immunology · 2026Article
- Development and validation ofQuantitative imaging in medicine and surgery · 2025Article
- Role ofJournal of clinical medicine · 2025Review
- Clinical analysis of histiocytic necrotizing lymphadenitis in adults with fever of unknown origin: a retrospective study.Diagnostic pathology · 2025Article
- Performance and value ofBiomedical reports · 2024Article
- EANM consensus document on the use of [European journal of nuclear medicine and molecular imaging · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study aims to analyze the
resultsThe metabolic characteristics of the "hottest" lesion, the spleen, bone marrow, and lymph nodes varied for various causes. PET/CT combined with clinical parameters achieved better discrimination in the differential diagnosis of FUO. The etiological diagnostic models included the following factors: multisite metabolic characteristics, blood cell counts, inflammatory indicators (erythrocyte sedimentation rate, C-reactive protein, serum ferritin, and lactate dehydrogenase), immunological indicators (interferon gamma release assay, antinuclear antibody, and anti-neutrophil cytoplasm antibody), specific signs (weight loss, rash, and splenomegaly), and age. In the testing cohort, the AUCs of the infection prediction model, the malignancy diagnostic model, and the noninfectious inflammatory disease prediction model were 0.89 (95% CI 0.86-0.92), 0.94 (95% CI 0.92-0.97), and 0.95 (95% CI 0.93-0.97), respectively. The corresponding AUCs for the validation cohort were 0.88 (95% CI 0.82-0.93), 0.93 (95% CI 0.89-0.98), and 0.95 (95% CI 0.92-0.99), respectively.
conclusions
Indexed as
Identifiers
What OpenQuestion holds
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.