Evidence map›Paper›PMID 34100562›Full record

ArticleJournal of Korean medical science2021

Predictors of Diagnostic Contributions and Spontaneous Remission of Symptoms Associated with Positron Emission Tomography with Fluorine-18-Fluorodeoxy Glucose Combined with Computed Tomography in Classic Fever or Inflammation of Unknown Origin: a Retrospective Study.

Seiichiro Tsuzuki, Ayumi Watanabe, Mitsunaga Iwata, Hiroshi Toyama, Teruhiko Terasawa

Open access · goldAbstract read
In one paragraph

Article in Journal of Korean medical science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. EANM consensus document on the use of [European journal of nuclear medicine and molecular imaging · 2024
    Article
  5. FDG-PET/CT for investigation of pyrexia of unknown origin: a cost of illness analysis.European journal of nuclear medicine and molecular imaging · 2024
    Article
  6. [American journal of nuclear medicine and molecular imaging · 2024
    Review
  7. Article
  8. Review
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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

5 authors at 1 institution in 1 country.

Seiichiro TsuzukiDepartment of Emergency and General Internal Medicine, Fujita Health University School of Medicine, Toyoake, Japan.ORCID https://orcid.org/0000-0003-4484-6668
Ayumi WatanabeDepartment of Radiology, Fujita Health University School of Medicine, Toyoake, Japan.ORCID https://orcid.org/0000-0001-6816-9433
Mitsunaga IwataDepartment of Emergency and General Internal Medicine, Fujita Health University School of Medicine, Toyoake, Japan.ORCID https://orcid.org/0000-0001-8979-4801
Hiroshi ToyamaDepartment of Radiology, Fujita Health University School of Medicine, Toyoake, Japan.ORCID https://orcid.org/0000-0002-5341-1693
Teruhiko TerasawaDepartment of Emergency and General Internal Medicine, Fujita Health University School of Medicine, Toyoake, Japan. terasawa@fujita-hu.ac.jp.ORCID https://orcid.org/0000-0002-0975-391X
Fujita Health University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn patients with fever or inflammation of unknown origin (fever of unknown origin [FUO] or inflammation of unknown origin [IUO], respectively), expert consensus recommends the use of positron emission tomography with fluorine-18-fluorodeoxy glucose combined with computed tomography (FDG-PET/CT) when standard work-up fails to identify diagnostic clues. However, the clinical variables associated with successful localization of the cause by FDG-PET/CT remain uncertain. Moreover, the long-term outcomes of patients with unexplained FUO or IUO after negative FDG-PET/CT results are unknown. Therefore, we assessed predictors of successful diagnosis of FUO or IUO caused by FDG-PET/CT and associations of spontaneous remission of symptoms with FDG-PET/CT results.

methodsAll patients with FUO or IUO, who underwent FDG-PET/CT from 2013 to 2019 because diagnostic work-up failed to identify a cause, were retrospectively included. We calculated the diagnostic yield and performed multivariable logistic regression to assess characteristics previously proposed to be associated with successful localization of FUO or IUO causes. We also assessed whether the FDG-PET/CT results were associated with spontaneous remissions.

resultsIn total, 50 patients with diagnostically challenging FUO or IUO (35 with FUO and 15 with IUO) were assessed. Other than one case of infection, all the identified causes were either malignancy or non-infectious inflammatory diseases (each with 18 patients), and FDG-PET/CT correctly localized the cause in 29 patients (diagnostic yield = 58%). None of the proposed variables was associated with successful localization. All 13 patients with sustained unexplained cause remained alive (median follow-up, 190 days). Spontaneous remission was observed in 4 of 5 patients with a negative FDG-PET/CT, and 1 of 8 with a positive result (

conclusionIn the current cohort, the proposed variables were not predictive for successful localization by FDG-PET/CT. A negative FDG-PET/CT scan may be prognostic for spontaneous remission in patients with sustained FUO or IUO.

Indexed as

Remission, SpontaneousAdultFever of Unknown OriginFluorodeoxyglucose F18HumansInfectionsInflammationMaleMiddle AgedNeoplasmsPositron Emission Tomography Computed TomographyRetrospective StudiesTomography, X-Ray ComputedFluorodeoxyglucose F18DiagnosisFever of Unknown OriginInflammationPositron Emission Tomography Computed TomographySpontaneous Remission

Identifiers

PMID34100562
PMCPMC8185121
OpenAlexW3162082152

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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.