Evidence map›Paper›PMID 30267296›Full record

ReviewReviews in endocrine & metabolic disorders2018

Is endoscopic ultrasonography more sensitive than magnetic resonance imaging in detecting and localizing pancreatic neuroendocrine tumors?

Peter Herbert Kann

Abstract readReview
PubMed Publisher
In one paragraph

Review in Reviews in endocrine & metabolic disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. 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

1 author at 1 institution in 1 country.

Peter Herbert KannCentre for Endocrinology, Diabetology & Osteology, Endocrine Laboratory, Philipp's University and University Hospital Marburg, Marburg, Germany. kannp@med.uni-marburg.de.
Philipps University of Marburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To compare endoscopic ultrasonography (EUS) and magnetic resonance imaging (MRI) in terms of their sensitivities to localize pancreatic neuroendocrine tumors (pNET) preoperatively. Systematic analysis of the literature; sensitivity of EUS and MRI in insulinomas and pancreaticoduodenal NETs in multiple endocrine neoplasia type 1 (MEN1) in series of at least 20 subjects referring to tumors confirmed by surgery and histopathology. Other imaging methods reported were also assessed. Eighteen publications on insulinomas (782 cases) could be analyzed, no study in MEN1 fulfilled the inclusion criteria and compared EUS to MRI. Data quality was moderate: all publications referred to case series. Mean correct detection / localization rates (sensitivity) were calculated: EUS 80%, MRI 66%, computed tomography 63%, angiography 52%, somatostatin receptor scintigraphy 42%, ultrasonography 23%; arterial calcium stimulation with hepatic venous sampling regionalized correctly in 80%. EUS seems to be more sensitive than MRI in localizing pancreatic neuroendocrine tumors. If a specialized endosonographist is available, EUS is the preferable imaging procedure. Otherwise, MRI is a suitable alternative.

Indexed as

EndosonographyHumansMagnetic Resonance ImagingNeuroendocrine TumorsPancreatic NeoplasmsEndoscopic ultrasonographyEUSInsulinomaMagnetic resonance imagingMRINETNeuroendocrine tumor

Identifiers

PMID30267296
OpenAlexW2892392822

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.