Evidence map›Paper›PMID 30062606›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2018

Performance of

Michael Mix, Kathrin Reichel, Christian Stoykow, Mark Bartholomä, Vanessa Drendel, Eleni Gourni, Ulrich Wetterauer, Wolfgang Schultze-Seemann, Philipp T Meyer, Cordula A Jilg

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Annals of nuclear medicine · 2022
    Article
  9. Article
  10. Review
  11. EJNMMI research · 2021
    Article
  12. Article
  13. Nuclear Imaging of Glucose Metabolism: BeyondContrast media & molecular imaging · 2019
    Review
  14. 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

10 authors at 2 institutions in 2 countries.

Michael MixDepartment of Nuclear Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Straße 55, 79106, Freiburg, Germany. michael.mix@uniklinik-freiburg.de.ORCID http://orcid.org/0000-0002-9106-2519
Kathrin ReichelDepartment of Urology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Christian StoykowDepartment of Nuclear Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Straße 55, 79106, Freiburg, Germany.
Mark BartholomäDepartment of Nuclear Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Straße 55, 79106, Freiburg, Germany.
Vanessa DrendelInstitute for Pathology, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Eleni GourniDepartment of Nuclear Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Straße 55, 79106, Freiburg, Germany.
Ulrich WetterauerDepartment of Urology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Wolfgang Schultze-SeemannDepartment of Urology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Philipp T MeyerDepartment of Nuclear Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Straße 55, 79106, Freiburg, Germany.
Cordula A JilgDepartment of Urology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
University of Freiburg · DEGerman Cancer Research Center · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIntraoperative identification of lymph node (LN) metastases (LNM) detected on preoperative PSMA PET/CT may be facilitated by PSMA radioguided surgery with the use of a gamma probe. We evaluated the uptake of

methodsSix patients with prostate cancer (PCa) with suspicion of LNM on preoperative PSMA PET/CT underwent

resultsOverall 310 LN (mean 52 ± 19.7) were removed from 74 subregions (mean 12 ± 3.7). Of the 310 LN, 35 turned out to be LNM on histopathology. Separation of the samples from all subregions resulted in 318 single specimens: 182 PCa-negative LN samples with 275 LN, 35 single LNM samples, 3 non-nodal PCa tissue samples and 98 fibrofatty tissue samples. The median SULs of nonaffected LN (0.16) and affected LN (13.2) were significantly different (p < 0.0001). Based on 38 tumour-containing and 182 tumour-free specimens, ROC analysis revealed an area under the curve of 0.976 (95% CI 0.95-1.00, p < 0.0001). Using a SUL cut-off value of 1.136, sensitivity, specificity, positive predictive value, negative predictive value and accuracy in discriminating affected from nonaffected LN were 92.1% (35/38), 98.9% (180/182), 94.6% (35/37), 98.4% (180/183) and 97.7% (215/220), respectively.

conclusionEx situ analysis at the level of single LN showed that

Indexed as

Indium RadioisotopesLymph Node ExcisionAgedBiological TransportDipeptidesHeterocyclic Compounds, 1-RingHumansIsotope LabelingLymphatic MetastasisMalePositron Emission Tomography Computed TomographyProstate-Specific AntigenProstatic NeoplasmsRadioactive TracersDipeptidesHeterocyclic Compounds, 1-RingIndium-111Indium RadioisotopesProstate-Specific AntigenPSMA-617Radioactive Tracers111In-PSMALymphadenectomyLymph node metastasesRadioguided surgery

Identifiers

PMID30062606
OpenAlexW2885084435

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.