Evidence map›Paper›PMID 24305938›Full record

ArticleWorld journal of surgery2014

A simple risk score to predict the presence of non-sentinel lymph node metastases in breast cancer patients with a positive sentinel node.

Raquel F D van la Parra, Petronella G M Peer, Wilfred K de Roos, Miranda F Ernst, Johannes H W de Wilt, Koop Bosscha

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Article in World journal of surgery, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed.

  1. Article
  2. A logistic regression model predicting high axillary tumour burden in early breast cancer patients.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2017
    Article
  3. Additional non-sentinel lymph node metastases in early oral cancer patients with positive sentinel lymph nodes.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2017
    Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Raquel F D van la ParraDepartment of Surgery, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands, rfdvanlaparra@tiscali.nl.
Petronella G M Peer
Wilfred K de Roos
Miranda F Ernst
Johannes H W de Wilt
Koop Bosscha

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHistorically, completion axillary lymph node dissection (cALND) is recommended in sentinel lymph node (SLN)-positive patients. However, the high rate of negative non-sentinel nodes (NSNs) in cALND and the reported low axillary recurrence rates have led to a more conservative approach. A risk score was developed to identify a patient's individual risk for NSN metastases.

methodsData of 182 SLN-positive patients who underwent cALND were used for risk score development. The risk score, consisting of pathological tumor size (≤ 20/>20 mm), lymphovascular invasion (no/yes), extracapsular extension (no/yes), size of metastases (≤ 2/>2 mm), and number of positive SLNs (1/>1), was subsequently validated on an external population (n = 180).

resultsThe area under the receiver operating characteristic curve was 0.78 (95 % CI 0.71-0.85) in the original population and 0.78 (95 % CI 0.70-0.85) in the validation population. Based on the predicted risk for positive NSNs, three groups were defined: low risk (≤ 20 %), intermediate risk (21-50 %), and high risk (>50 %). In total, 88 patients met the Z0011 inclusion criteria and none of them had a high predicted risk. Of the 199 non-Z0011 patients, 67 (33.7 %) had low risk, 96 (48.2 %) had intermediate risk, and 36 (18.1 %) had high risk.

conclusionA simple risk score, integrating just five clinicopathological variables, was developed that may assist in individual decision making regarding ALND in SLN-positive patients outside of the Z0011 trial.

Indexed as

Sentinel Lymph Node BiopsyBreast NeoplasmsFemaleHumansLymphatic MetastasisPrognosisRisk Assessment

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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.