Evidence map›Paper›PMID 26678895›Full record

ArticleJournal of cancer survivorship : research and practice2016

Differences in limb volume trajectories after breast cancer treatment.

Betty Smoot, Bruce A Cooper, Yvette Conley, Kord Kober, Jon D Levine, Judy Mastick, Kimberly Topp, Christine Miaskowski

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of cancer survivorship : research and practice, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
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

8 authors.

Betty SmootSchool of Medicine, University of California, San Francisco, Box 0736, San Francisco, CA, 94143, USA. Betty.smoot@ucsf.edu.
Bruce A CooperSchool of Nursing, University of California, San Francisco, 2 Koret Way, San Francisco, CA, 94143, USA.
Yvette ConleySchool of Nursing, University of Pittsburgh, 3500 Victoria St, Pittsburgh, PA, 15261, USA.
Kord KoberSchool of Nursing, University of California, San Francisco, 2 Koret Way, San Francisco, CA, 94143, USA.
Jon D LevineSchool of Dentistry, University of California, San Francisco, Box 0440, San Francisco, CA, 94143, USA.
Judy MastickSchool of Nursing, University of California, San Francisco, 2 Koret Way, San Francisco, CA, 94143, USA.
Kimberly ToppSchool of Medicine, University of California, San Francisco, Box 0736, San Francisco, CA, 94143, USA.
Christine MiaskowskiSchool of Nursing, University of California, San Francisco, 2 Koret Way, San Francisco, CA, 94143, USA.

Funding

UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
Clinical and Transtional Science InstituteKL2TR000143 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$11.9M
UCSF/Kaiser-DOR Program for Developing Independent Women's Health ResearchersK12HD052163 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ADLER, NANCY E, BRINDIS, CLAIRE D. · 2005 to 2023
$9.3M
Symptom Management After Breast Cancer SurgeryR01CA107091 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MIASKOWSKI, CHRISTINE A. · 2003 to 2008
$4.5M
Long-term Arm Morbidity Following Breast Cancer TreatmentR01CA118658 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MIASKOWSKI, CHRISTINE A. · 2006 to 2010
$3.5M
Advancing the Science of Symptom Management in Oncology PatientsK05CA168960 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MIASKOWSKI, CHRISTINE A. · 2013 to 2017
$453k
NCATS NIH HHS KL2 TR000143NCI NIH HHS K05 CA168960NCI NIH HHS R01 CA107091NCI NIH HHS R01 CA118658NCRR NIH HHS UL1 RR024131NICHD NIH HHS K12 HD052163
6 · The paper itself

Abstract

purposeApproximately 20 % of patients develop lymphedema (LE) following breast cancer (BC) surgery. An evaluation of distinct trajectories of volume change may improve our ability to diagnose LE sooner. The purposes of this study were to identify subgroups of women with distinct trajectories of limb volume changes following BC surgery and to evaluate for phenotypic differences among these classes.

methodsIn this prospective longitudinal study, 380 women were enrolled prior to unilateral BC surgery. Upper limb bioimpedance was measured preoperatively and serially for 1 year postoperatively. Resistance ratios (RRs) were calculated. A RR of >1 indicates affected limb volume > unaffected limb volume. Latent class growth analysis (LCGA) was used to identify classes of women with distinct postoperative RR trajectories. Differences among classes were evaluated using analyses of variance and chi-square analyses.

resultsThree distinct classes were identified as follows: RR <0.95 (37.9 %), RR ~1.00 (46.8 %), and RR >1.05 (15.3 %). Patients in the RR >1.05 class were more likely to have diabetes (p = 0.036), were more likely to have BC on their dominant side (p < 0.001), had higher RR ratios at the preoperative and 1-month assessments (p < 0.001), and were more likely to be diagnosed with LE (p < 0.001).

conclusionsLCGA is a useful analytic technique to identify subgroups of women who may be at higher risk for the development of LE, based on trajectories of limb volume change after BC surgery. IMPLICATIONS FOR CANCER SURVIVORS: Assessment of preoperative and 1-month bioimpedance RRs may allow for the earlier identification of patients who are at higher risk for the development of LE.

Indexed as

Breast NeoplasmsComputational BiologyFemaleHumansLongitudinal StudiesLymphedemaMastectomyMiddle AgedProspective StudiesRiskSurvivorsBioimpedance spectroscopyBreast cancerLatent class analysisLymphedemaResistance ratiosUpper extremity

Identifiers

PMID26678895
PMCPMC4912957

What OpenQuestion holds

Textmetadata
LicenceTDM
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.