Evidence map›Paper›PMID 34638480›Full record

ReviewCancers2021

The Evolving Role of Radiofrequency Guided Localisation in Breast Surgery: A Systematic Review.

Salim Tayeh, Umar Wazir, Kefah Mokbel

Abstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Review
  6. Article
  7. Observational
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  13. Review
  14. 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
  15. Article
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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

3 authors.

Salim TayehLondon Breast Institute, Princess Grace Hospital, Hospital Corporation of America (HCA), 42-52 Nottingham Place, London W1U 5NY, UK.
Umar WazirLondon Breast Institute, Princess Grace Hospital, Hospital Corporation of America (HCA), 42-52 Nottingham Place, London W1U 5NY, UK.ORCID 0000-0001-8979-692X
Kefah MokbelLondon Breast Institute, Princess Grace Hospital, Hospital Corporation of America (HCA), 42-52 Nottingham Place, London W1U 5NY, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wire-guided localisation (WGL) has been the gold-standard for localising non-palpable breast lesions before excision. Due to its drawbacks, various wireless alternatives have been developed, including LOCalizer™, which is based on radio-frequency identification (RFID) technology. In this systematic review, we consulted EMBASE, Medline and PubMed databases using appropriate search terms regarding the use of RFID technology in the localisation of occult breast lesions. Retrospective and prospective studies were included if they quoted the number of patients, rate of successful placement, retrieval rate, margin positivity rate and the re-excision rate. In addition, studies comparing RFID to WGL were also included and analysed separately. Seven studies were included in this systematic review spanning 1151 patients and 1344 tags. The pooled deployment rate was 99.1% and retrieval rate was 100%. Re-excision rate was 13.9%. One complication was identified. Two studies compared RFID with WGL (128 vs. 282 patients respectively). For both techniques the re-excision rate was 15.6% (20/128 vs. 44/282 respectively,

Indexed as

breast cancerlocalisationnon-palpable breast lesionsoccultradio-frequency tags

Identifiers

PMID34638480
PMCPMC8508195

What OpenQuestion holds

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Registered trials

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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.