Evidence map›Paper›PMID 30268112›Full record

Observational studyBMC cancer2018

Lymphovascular invasion and extranodal tumour extension are risk indicators of breast cancer related lymphoedema: an observational retrospective study with long-term follow-up.

Marco Invernizzi, Chiara Corti, Gianluca Lopez, Anna Michelotti, Luca Despini, Donatella Gambini, Daniele Lorenzini, Elena Guerini-Rocco, Stefania Maggi, Marianna Noale and 1 more

Abstract readObservational Study
In one paragraph

Observational study in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

11 authors.

Marco InvernizziPhysical and Rehabilitative Medicine, Department of Health Sciences, University of Eastern Piedmont "A. Avogadro", Viale Piazza D'Armi 1, 28100, Novara, Italy.
Chiara CortiDivision of Pathology, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Via Francesco Sforza 35, 20122, Milan, Italy.
Gianluca LopezDivision of Pathology, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Via Francesco Sforza 35, 20122, Milan, Italy.
Anna MichelottiDivision of Pathology, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Via Francesco Sforza 35, 20122, Milan, Italy.
Luca DespiniDivision of Breast Surgery, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Via Francesco Sforza 35, 20122, Milan, Italy.
Donatella GambiniDivision of Medical Oncology, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Via Francesco Sforza 35, 20122, Milan, Italy.
Daniele LorenziniDivision of Pathology, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Via Francesco Sforza 35, 20122, Milan, Italy.
Elena Guerini-RoccoDepartment of Pathology, European Institute of Oncology, Via Giuseppe Ripamonti 435, 20141, Milan, Italy.
Stefania MaggiNational Research Council (CNR), Neuroscience Institute Aging Branch, Via Giustiniani 2, 35128, Padua, Italy.
Marianna NoaleNational Research Council (CNR), Neuroscience Institute Aging Branch, Via Giustiniani 2, 35128, Padua, Italy.
Nicola FuscoDivision of Pathology, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Via Francesco Sforza 35, 20122, Milan, Italy. nicola.fusco@unimi.it.ORCID http://orcid.org/0000-0002-9101-9131

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer related lymphoedema (BCRL) occurs in a substantial proportion of breast cancer survivors and is a major contributor to patients' disability. Regrettably, there are no validated predictive biomarkers, diagnostic tools, and strong evidence-supported therapeutic strategies for BCRL. Here, we provide an integrative characterization of a large series of women with node-positive breast cancers and identify new bona fide predictors of BCRL occurrence.

methodsThree hundred thirty-two cases of surgically-treated node-positive breast cancers were retrospectively collected (2-10.2 years of follow-up). Among them, 62 patients developed BCRL. To identify demographic and clinicopathologic features related to BCRL, Fisher's exact test or Chi-squared test were carried out for categorical variables; the Wilcoxon rank-sum was employed for continuous variables. Factors associated with BCRL occurrence were assessed using a Cox proportional hazards regression model.

resultsEn-bloc dissection of the axillary lymph nodes but not the type of breast surgery impacted on BCRL development. Most of BCRL patients had a Luminal A-like neoplasm. The median number of lymph nodes involved by metastatic deposits was significantly higher in BCRL compared to the control group (p = 0.04). Both peritumoral lymphovascular invasion (LVI) and extranodal extension (ENE) of the metastasis had a negative impact on BCRL-free survival (p = 0.01). Specifically, patients with LVI and left side localization harboured 4-fold higher risk of developing BCRL, while right axillary nodes metastases with ENE increased the probability of BCRL compared to ENE-negative patients.

conclusionsAssessment of LVI and ENE should be integrated with clinical and surgical data to improve BCRL risk stratification.

Indexed as

AdultAgedAged, 80 and overAxillaBreast Cancer LymphedemaDisease-Free SurvivalFemaleFollow-Up StudiesHumansLymph Node ExcisionLymph NodesMiddle AgedNeoplasm InvasivenessRetrospective StudiesAxillary lymph nodes dissectionBreast cancerBreast cancer related lymphoedemaExtracapsular extensionLymphovascular invasion

Identifiers

PMID30268112
PMCPMC6162920

What OpenQuestion holds

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LicenceCC BY
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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.