SynthesisEuropean journal of nuclear medicine and molecular imaging2020
Diagnostic performance of
Synthesis in European journal of nuclear medicine and molecular imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled 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.
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
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.
- EANM/SNMMI guideline/procedure standard for [European journal of nuclear medicine and molecular imaging · 2025Guideline
- Differentiating Tuberculous and Pyogenic Spondylodiscitis: Part II: MRI/CT Features, Prediction Models, and the Role of PET/CT-A Narrative Review.Diagnostics (Basel, Switzerland) · 2026Review
- Evaluation of fusion status after spine fusion surgery: a comprehensive review.Asian spine journal · 2026Review
- Article
- [American journal of nuclear medicine and molecular imaging · 2026Review
- Progress in diagnosis and treatment of primary spondylodiscitis: a systematic literature review.EFORT open reviews · 2025Article
- Prospective evaluation of the diagnostic accuracy of FDG-PET/CT for the detection of sternal wound infection post-sternotomy.EJNMMI reports · 2025Article
- FRID-PI: a machine learning model for diagnosing fracture-related infections based onFrontiers in medicine · 2025Article
- [Antibiotics (Basel, Switzerland) · 2024Article
- A practical approach to interpretation ofSkeletal radiology · 2024Article
- Application of Nuclear Medicine Techniques in Musculoskeletal Infection: Current Trends and Future Prospects.Journal of clinical medicine · 2024Review
- Cervical spine spondylodiscitis: Review of literature on current treatment strategies.Heliyon · 2023Review
- Determining the usefulness of systematicBMJ open · 2023Article
- Changes in the global impact of COVID-19 on nuclear medicine departments during 2020: an international follow-up survey.European journal of nuclear medicine and molecular imaging · 2021Article
- Assessing cardiovascular infection and inflammation with FDG-PET.American journal of nuclear medicine and molecular imaging · 2021Review
- State of the art ofClinical and translational imaging · 2021Review
- FDG PET/CT used in identifying adult-onset Still's disease in connective tissue diseases.Clinical rheumatology · 2020Article
- Comparison of the Diagnostic Value of MRI and Whole BodyJournal of clinical medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeDiagnosis of spinal infection (SI) is challenging and usually requires multiple tests. We aimed to perform a systematic review and a bivariate meta-analysis on the diagnostic role of
methodsA comprehensive literature search of studies published through February 2019 in PubMed/MEDLINE and Cochrane library databases was carried out. Studies investigating the diagnostic performance of
resultsTwenty-six articles (833 patients) using
conclusion
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.