Evidence map›Paper›PMID 34793255›Full record

ArticleLymphatic research and biology2022

Use of Dual-Energy X-Ray Absorptiometry to Assess Soft Tissue Composition in Breast Cancer Survivors With and Without Lymphedema.

Betty J Smoot, Judy Mastick, John Shepherd, Steven M Paul, Kord M Kober, Bruce A Cooper, Yvette P Conley, Niharika Dixit, Marilyn J Hammer, Mei R Fu and 2 more

Open access · greenAbstract read
In one paragraph

Article in Lymphatic research and biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

12 authors at 5 institutions in 1 country.

Betty J SmootSchool of Medicine, University of California San Francisco, San Francisco, California, USA.
Judy MastickSchool of Nursing, University of California San Francisco, San Francisco, California, USA.
John ShepherdUniversity of Hawaii Cancer Center, Honolulu, Hawaii, USA.
Steven M PaulSchool of Nursing, University of California San Francisco, San Francisco, California, USA.
Kord M KoberSchool of Nursing, University of California San Francisco, San Francisco, California, USA.
Bruce A CooperSchool of Nursing, University of California San Francisco, San Francisco, California, USA.
Yvette P ConleySchool of Nursing, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Niharika DixitSchool of Medicine, University of California San Francisco, San Francisco, California, USA.
Marilyn J HammerDana Farber Cancer Institute, Boston, Massachusetts, USA.
Mei R FuSchool of Nursing, Boston College, Boston, Massachusetts, USA.
Gary AbramsSchool of Medicine, University of California San Francisco, San Francisco, California, USA.
Christine MiaskowskiSchool of Medicine, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0001-5170-2027
University of California, San Francisco · USBoston College · USDana-Farber Cancer Institute · USUniversity of Hawaiʻi at Mānoa · USUniversity of Pittsburgh · US

Funding

Biomarker and Phenotypic Risk Factors for Breast Cancer LymphedemaR01CA187160 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MIASKOWSKI, CHRISTINE A. · 2015 to 2020
$4.9M
NCI NIH HHS R01 CA187160
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Breast NeoplasmsCancer SurvivorsLymphedemaAbsorptiometry, PhotonAdipose TissueBody CompositionFemaleHumansbody mass indexbreast cancercircumferencedual-energy X-ray absorptiometrylymphedema

Identifiers

PMID34793255
PMCPMC9422781
OpenAlexW3212221725

What OpenQuestion holds

Textmetadata
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.