Evidence map›Paper›PMID 33917590›Full record

ReviewJournal of clinical medicine2021

Pretherapeutic Imaging for Axillary Staging in Breast Cancer: A Systematic Review and Meta-Analysis of Ultrasound, MRI and FDG PET.

Morwenn Le Boulc'h, Julia Gilhodes, Zara Steinmeyer, Sébastien Molière, Carole Mathelin

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
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

32 citing papers in PubMed.

  1. Trial
  2. Article
  3. AlEuropean journal of nuclear medicine and molecular imaging · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Diagnostic value of [Frontiers in oncology · 2026
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors.

Morwenn Le Boulc'hDepartment of Oncologic Radiology, Claudius Regaud Institute, Institut Universitaire du Cancer de Toulouse-Oncopole, 31100 Toulouse, France.
Julia GilhodesClinical Trials, Institut Universitaire du Cancer de Toulouse-Oncopole, 31100 Toulouse, France.
Zara SteinmeyerInternal Medicine and Oncogeriatry Unit, Geriatric Department, University Hospital, Place du Docteur Baylac, CEDEX 9, 31059 Toulouse, France.
Sébastien MolièreDepartment of Women's Imaging, University Hospitals of Strasbourg, 67200 Strasbourg, France.ORCID 0000-0002-1844-9725
Carole MathelinSurgery at ICANS Cancer Institute (Institute of Cancerology Strasbourg Europe), CEDEX, 67033 Strasbourg, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis systematic review aimed at comparing performances of ultrasonography (US), magnetic resonance imaging (MRI), and fluorodeoxyglucose positron emission tomography (PET) for axillary staging, with a focus on micro- or micrometastases.

methodsA search for relevant studies published between January 2002 and March 2018 was conducted in MEDLINE database. Study quality was assessed using the QUality Assessment of Diagnostic Accuracy Studies checklist. Sensitivity and specificity were meta-analyzed using a bivariate random effects approach; Results: Across 62 studies (

conclusionsIn comparison with MRI and PET Fluorodeoxyglucose (FDG), US is an effective technique for axillary triage, especially to detect high metastatic burden without upstaging majority of micrometastases.

Indexed as

breast cancerlymph nodemagnetic resonance imagingmeta-analysismicrometastasispositron emission tomographyultrasound

Identifiers

PMID33917590
PMCPMC8038849

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.