Evidence map›Paper›PMID 35705874›Full record

SynthesisEuropean journal of nuclear medicine and molecular imaging2022

Diagnostic performance of [

Seyed Ali Mirshahvalad, Ricarda Hinzpeter, Andres Kohan, Reut Anconina, Roshini Kulanthaivelu, Claudia Ortega, Ur Metser, Patrick Veit-Haibach

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in European journal of nuclear medicine and molecular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.0field-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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Diagnostic performance of whole-body [European radiology · 2024
    Pooled it
  2. Review
  3. Diagnostic Performance of [World journal of nuclear medicine · 2025
    Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. PreoperativeCancers · 2024
    Article
  9. Article
  10. PET/MRI in colorectal and anal cancers: an update.Abdominal radiology (New York) · 2023
    Review
  11. Medical Radiology: Current Progress.Diagnostics (Basel, Switzerland) · 2023
    Review
  12. Article
  13. Review
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

8 authors at 2 institutions in 1 country.

Seyed Ali MirshahvaladJoint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada. ali.mirshahvalad@uhn.ca.ORCID 0000-0003-2271-9764
Ricarda HinzpeterJoint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada.
Andres KohanJoint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada.
Reut AnconinaSunnybrook Health Sciences Center, Toronto, Canada.
Roshini KulanthaiveluJoint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada.
Claudia OrtegaJoint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada.
Ur MetserJoint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada.
Patrick Veit-HaibachJoint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada.
University Health Network · CASunnybrook Health Science Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo calculate the diagnostic performance of [

methodsThis study was designed following the PRISMA-DTA guidelines. To be included, published original articles (until December 31, 2021) that met the following criteria were considered eligible: (1) evaluated [

resultsA total of 1534 patients from 18 studies were entered. The pooled sensitivities in CRC lesion detection (tumor, lymph nodes, and metastases) were 0.94 (95%CI: 0.89-0.97) and 0.93 (95%CI: 0.82-0.98) at patient-level and lesion-level, respectively. The pooled specificities were 0.89 (95%CI: 0.84-0.93) and 0.95 (95%CI: 0.90-0.98) at patient-level and lesion-level, respectively. In sub-groups, the highest sensitivity (0.97, 95%CI: 0.86-0.99) and specificity (0.99, 95%CI: 0.84-1.00) were calculated for "M staging" and "rectal cancer: lesion-level," respectively. The lowest sensitivity (0.81, 95%CI: 0.65-0.91) and specificity (0.79, 95%CI: 0.52-0.93) were calculated for "N staging" and "T staging," respectively.

conclusionThis meta-analysis showed an overall high diagnostic performance for [

Indexed as

Colorectal NeoplasmsRectal NeoplasmsFluorodeoxyglucose F18HumansNeoplasm StagingPositron-Emission TomographyPositron Emission Tomography Computed TomographyRadiopharmaceuticalsSensitivity and SpecificityFluorodeoxyglucose F18RadiopharmaceuticalsColorectalDiagnosisFDGMeta-analysisPET/MR

Identifiers

PMID35705874
OpenAlexW4282972386

What OpenQuestion 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 OpenQuestion graph.