Evidence map›Paper›PMID 34067552›Full record

ArticleCancers2021

Reflector-Guided Localisation of Non-Palpable Breast Lesions: A Prospective Evaluation of the SAVI SCOUT

Umar Wazir, Iham Kasem, Michael J Michell, Tamara Suaris, David Evans, Anmol Malhotra, Kefah Mokbel

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 30 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. RADar Reflector LocalisatIOn-SCOUTAnnals of surgical oncology · 2026
    Observational
  6. Review
  7. Article
  8. SCOUTCancers · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. Savi Scout Localization for Extrapelvic Endometriosis Resection.The American journal of case reports · 2024
    Article
  13. Review
  14. Article
  15. Evolution of localization methods for non-palpable breast lesions: a literature review from a translational medicine perspective.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2024
    Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

7 authors at 2 institutions in 2 countries.

Umar WazirThe London Breast Institute, Princess Grace Hospital, London W1U 5NY, UK.ORCID 0000-0001-8979-692X
Iham KasemThe London Breast Institute, Princess Grace Hospital, London W1U 5NY, UK.ORCID 0000-0001-8764-5079
Michael J MichellThe London Breast Institute, Princess Grace Hospital, London W1U 5NY, UK.
Tamara SuarisThe London Breast Institute, Princess Grace Hospital, London W1U 5NY, UK.
David EvansThe London Breast Institute, Princess Grace Hospital, London W1U 5NY, UK.
Anmol MalhotraThe London Breast Institute, Princess Grace Hospital, London W1U 5NY, UK.ORCID 0000-0002-9147-2323
Kefah MokbelThe London Breast Institute, Princess Grace Hospital, London W1U 5NY, UK.
The Princess Grace Hospital · GBKhyber Teaching Hospital · PK

Funding

Breast Cancer Hope Foundation 2020_12
6 · The paper itself

Abstract

Wire-guided localisation (WGL) has been the mainstay for localising non-palpable breast lesions before excision. Due to its limitations, various wireless alternatives have been developed. In this prospective study, we evaluate the role of radiation-free wireless localisation using the SAVI SCOUT

Indexed as

breast cancerlocalisationnon-palpable breast lesionsoccultreflector-guided localisationSAVI SCOUT®

Identifiers

PMID34067552
PMCPMC8156313
OpenAlexW3163107323

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.