Evidence map›Paper›PMID 34322193›Full record

ArticleCurrent breast cancer reports2021

Model-Based Patterns of Lymphedema Symptomatology: Phenotypic and Biomarker Characterization.

Mei R Fu, Bradley E Aouizerat, Gary Yu, Yvette Conley, Deborah Axelrod, Amber A Guth, Jean-Pierre Gagner, Jeanna M Qiu, David Zagzag

Open access · hybridAbstract read
In one paragraph

Article in Current breast cancer reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Trial
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  3. Review
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  5. Article
  6. Article
  7. Lymphatic Pain in Breast Cancer Survivors.Lymphatic research and biology · 2022
    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

9 authors at 7 institutions in 1 country.

Mei R FuWilliam F. Connell School of Nursing, Boston College, Chestnut Hill, MA 02467, USA.ORCID 0000-0003-3891-0109
Bradley E AouizeratBluestone Center for Clinical Research, Department of Oral and Maxillofacial Surgery, College of Dentistry, New York University, New York, NY, USA.
Gary YuRory Meyers College of Nursing, New York University, New York, NY, USA.
Yvette ConleySchool of Nursing, University of Pittsburgh, Pittsburgh, PA, USA.
Deborah AxelrodDepartment of Surgery, New York University School of Medicine, New York, NY, USA.
Amber A GuthDepartment of Surgery, New York University School of Medicine, New York, NY, USA.
Jean-Pierre GagnerDepartment of Pathology, Microvascular and Molecular Neuro-Oncology Laboratory, NYU Langone Health, New York, NY, USA.
Jeanna M QiuHarvard Medical School, Boston, MA, USA.
David ZagzagDivision of Neuropathology and Department of Neurosurgery, NYU Langone Health, New York, NY, USA.
NYU Langone Health · USNYU Langone’s Laura and Isaac Perlmutter Cancer CenterBoston College · USCenter for Clinical Research (United States) · USHarvard University · USNew York University · USUniversity of Pittsburgh · US

Funding

Research Training and Education CoreP60MD000538 · NIMHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI TRINH-SHEVRIN, CHAU · 2003 to 2017
$21.2M
SCH: EXP: Improving early detection and intervention of lymphedema R01CA214085 · NCI · NEW YORK UNIVERSITY · PI FU, MEI ROSEMARY, WANG, YAO · 2016 to 2018
$674k
Proinflammatory Biomarkers and Post-Breast CancerLymphedemaR21NR012288 · NINR · NEW YORK UNIVERSITY · PI FU, MEI ROSEMARY · 2011 to 2012
$452k
NCI NIH HHS R01 CA214085NIMHD NIH HHS P60 MD000538NINR NIH HHS R21 NR012288
6 · The paper itself

Abstract

purpose of the studyMore than 50% of breast cancer survivors without a diagnosis of lymphedema suffer daily from numerous and co-occurring lymphedema symptoms. This study aimed to identify lymphedema symptom patterns and the association of such patterns with phenotypic characteristics and biomarkers using latent class analysis (LCA). A prospective, descriptive, and repeated-measure design was used to enroll 140 women and collect data. RECENT

findingsLCA identified three distinct lymphedema symptom classes at 8 weeks and 12 months post-surgery: low, moderate, and severe symptom classes and associated phenotypic characteristics. Participants were more likely to be in the severe symptom classes at 12 months post-surgery if they had lower education level, cording, an axillary syndrome at 8 weeks post-surgery, neoadjuvant chemotherapy, and radiation. SUMMARY: Pre-surgery level of IL1-a, IL-6, IL-8, and VEGF was associated with the severe symptom class at 8 weeks post-surgery, suggesting that such biomarkers may be used to predict risk for lymphedema symptoms.

Indexed as

BioimpedanceBiomarkersLatent class analysisLimbvolumeLymphedemaPhenotypeSymptomSymptom distress

Identifiers

PMID34322193
PMCPMC8315568
OpenAlexW3106922789

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.