ArticleQuantitative imaging in medicine and surgery2025
Development and validation of
Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Unsupervised clustering of PET/CT features in fever of unknown origin (FUO) and inflammation of unknown origin (IUO).Frontiers in medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The etiology of fever of unknown origin (FUO) is complex, and early diagnosis of FUO is important for determining the method of treatment, but there are no uniform diagnostic criteria. This study aimed to evaluate the value of 18F-fluorodeoxyglucose positron emission tomography/computed tomography ( Methods: A total of 456 FUO patients with baseline Results: To differentiate between NDs and NNDs, five PET/CT variables [asymmetrical distribution of hypermetabolic lymph nodes, maximum standardized uptake value (SUVmax) in the bone marrow, SUVmax in the spleen, splenomegaly, and focal liver lesion], and three laboratory variables [white blood cell (WBC) count, platelet count (PLT) and lactate dehydrogenase (LDH)] (all P<0.05) were selected to construct the models. To differentiate between IDs and NIIDs, three PET/CT variables (short diameter of the lymph node, hypermetabolic spleen, and focal spleen lesion), one laboratory variable (WBC count) and age (all P<0.05) were selected to construct the models. In the validation group, the combined model (AUC =0.742) did not demonstrate significant improvement over the clinical model-either in differentiating NDs from NNDs (AUCcombined =0.742 Conclusions: This study demonstrated the diagnostic value of
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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.