Evidence map›Paper›PMID 37535156›Full record

SynthesisEuropean radiology2024

Diagnostic performance of whole-body [

Seyed Ali Mirshahvalad, Andres Kohan, Ur Metser, Ricarda Hinzpeter, Claudia Ortega, Adam Farag, Patrick Veit-Haibach

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in European radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.1field-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.

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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Editorial: Insights in PET and SPECT: 2023.Frontiers in nuclear medicine · 2023
    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.

Seyed Ali MirshahvaladJoint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Toronto General Hospital, 585 University Avenue, Toronto, Ontario, M5G 2N2, Canada. mirshahvalad.sa@gmail.com.ORCID http://orcid.org/0000-0003-2271-9764
Andres KohanJoint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Toronto General Hospital, 585 University Avenue, Toronto, Ontario, M5G 2N2, Canada.
Ur MetserJoint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Toronto General Hospital, 585 University Avenue, Toronto, Ontario, M5G 2N2, Canada.
Ricarda HinzpeterJoint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Toronto General Hospital, 585 University Avenue, Toronto, Ontario, M5G 2N2, Canada.
Claudia OrtegaJoint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Toronto General Hospital, 585 University Avenue, Toronto, Ontario, M5G 2N2, Canada.
Adam FaragJoint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Toronto General Hospital, 585 University Avenue, Toronto, Ontario, M5G 2N2, Canada.
Patrick Veit-HaibachJoint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Toronto General Hospital, 585 University Avenue, Toronto, Ontario, M5G 2N2, Canada.
University Health Network · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo calculate the pooled diagnostic performances of whole-body [

methodsA diagnostic meta-analysis was conducted on the [

resultsFrom 52 eligible studies, 2289 patients and 2072 metastases were entered in the meta-analysis. The whole-body pooled sensitivities were 0.95 (95%CI: 0.91-0.97) and 0.97 (95%CI: 0.91-0.99) at the patient and lesion levels, respectively. The pooled specificities were 0.99 (95%CI: 0.97-1.00) and 0.97 (95%CI: 0.90-0.99), respectively. Additionally, subgroup analyses were performed. The calculated pooled sensitivities for lung, gastrointestinal, breast, and gynecological cancers were 0.90, 0.93, 1.00, and 0.97, respectively. The pooled specificities were 1.00, 0.98, 0.97, and 1.00, respectively. Furthermore, the pooled sensitivities for non-small cell lung, colorectal, and cervical cancers were 0.92, 0.96, and 0.86, respectively. The pooled specificities were 1.00, 0.95, and 1.00, respectively.

conclusion[ CLINICAL RELEVANCE STATEMENT: Although [ KEY POINTS: • The whole-body [

Indexed as

Fluorodeoxyglucose F18NeoplasmsHumansMultimodal ImagingNeoplasm StagingPositron-Emission TomographyPositron Emission Tomography Computed TomographyRadiopharmaceuticalsSensitivity and SpecificityFluorodeoxyglucose F18RadiopharmaceuticalsFluorodeoxyglucose F18Magnetic resonance imagingNeoplasmsPositron emission tomography

Identifiers

PMID37535156
OpenAlexW4385514006

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.