Evidence map›Paper›PMID 33615109›Full record

ArticleJBMR plus2021

The Interaction of Lean Body Mass With Fat Body Mass Is Associated With Vertebral Fracture Prevalence in Women With Early Breast Cancer Undergoing Aromatase Inhibitor Therapy.

Sara Monteverdi, Rebecca Pedersini, Fabio Gallo, Filippo Maffezzoni, Alberto Dalla Volta, Pierluigi Di Mauro, Antonella Turla, Lucia Vassalli, Mara Ardine, Anna Maria Formenti and 5 more

Open access · goldAbstract read
In one paragraph

Article in JBMR plus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
3.2field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 33 citations in OpenAlex.

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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

15 authors at 3 institutions in 1 country.

Sara MonteverdiDepartment of Medical and Surgical Specialties, Radiological Sciences and Public Health, Medical Oncology University of Brescia, Aziende Socio Sanitarie Territoriali (ASST) Spedali Civili Brescia Italy.
Rebecca PedersiniDepartment of Medical and Surgical Specialties, Radiological Sciences and Public Health, Medical Oncology University of Brescia, Aziende Socio Sanitarie Territoriali (ASST) Spedali Civili Brescia Italy.
Fabio GalloClinical Epidemiology Unit, IRCCS, Ospedale Policlinico San Martino Genoa Italy.
Filippo MaffezzoniDepartment of Medical and Surgical Specialties, Radiological Sciences and Public Health, Radiology University of Brescia, Aziende Socio Sanitarie Territoriali (ASST) Spedali Civili Brescia Italy.
Alberto Dalla VoltaDepartment of Medical and Surgical Specialties, Radiological Sciences and Public Health, Medical Oncology University of Brescia, Aziende Socio Sanitarie Territoriali (ASST) Spedali Civili Brescia Italy.
Pierluigi Di MauroDepartment of Medical and Surgical Specialties, Radiological Sciences and Public Health, Medical Oncology University of Brescia, Aziende Socio Sanitarie Territoriali (ASST) Spedali Civili Brescia Italy.
Antonella TurlaDepartment of Medical and Surgical Specialties, Radiological Sciences and Public Health, Medical Oncology University of Brescia, Aziende Socio Sanitarie Territoriali (ASST) Spedali Civili Brescia Italy.
Lucia VassalliDepartment of Medical and Surgical Specialties, Radiological Sciences and Public Health, Medical Oncology University of Brescia, Aziende Socio Sanitarie Territoriali (ASST) Spedali Civili Brescia Italy.
Mara ArdineDepartment of Medical and Surgical Specialties, Radiological Sciences and Public Health, Medical Oncology University of Brescia, Aziende Socio Sanitarie Territoriali (ASST) Spedali Civili Brescia Italy.
Anna Maria FormentiDepartment of Endocrinology, San Raffaele Vita-Salute University and Division of Endocrinology San Raffaele Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Hospital Milan Italy.
Edda Lucia SimonciniBreast Unit ASST-Spedali Civili Brescia Italy.
Andrea GiustinaDepartment of Endocrinology, San Raffaele Vita-Salute University and Division of Endocrinology San Raffaele Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Hospital Milan Italy.ORCID https://orcid.org/0000-0001-6783-3398
Roberto MaroldiDepartment of Medical and Surgical Specialties, Radiological Sciences and Public Health, Radiology University of Brescia, Aziende Socio Sanitarie Territoriali (ASST) Spedali Civili Brescia Italy.
Vito AmorosoDepartment of Medical and Surgical Specialties, Radiological Sciences and Public Health, Medical Oncology University of Brescia, Aziende Socio Sanitarie Territoriali (ASST) Spedali Civili Brescia Italy.ORCID https://orcid.org/0000-0001-5357-5703
Alfredo BerrutiDepartment of Medical and Surgical Specialties, Radiological Sciences and Public Health, Medical Oncology University of Brescia, Aziende Socio Sanitarie Territoriali (ASST) Spedali Civili Brescia Italy.ORCID https://orcid.org/0000-0002-3956-0043
Azienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia · ITVita-Salute San Raffaele University · ITOspedale Policlinico San Martino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aromatase inhibitors (AIs) induce depletion of estrogen levels, causing bone loss and increased fracture risk in women with breast cancer. High-fat body mass (FBM) emerged as an independent factor associated with the prevalence of morphometric vertebral fractures (VFs) in patients undergoing AIs. We explored the role of lean body mass (LBM) and the interaction of LBM with FBM in predicting the occurrence of VFs in postmenopausal women who were either AI-naïve or AI-treated. A total of 684 consecutive breast cancer patients were enrolled in this cross-sectional study. Each woman underwent a dual-energy X-ray absorptiometry (DXA) scan, measuring bone mineral density (BMD), LBM, and FBM; VFs were assessed using a quantitative morphometric analysis of DXA images. After propensity score matching, the study population was restricted to 480 women, 240 AI-naïve and 240 AI-treated. We used multivariable logistic regression models to explore the associations between baseline characteristics, VF prevalence and the interaction between LBM, FBM and AI therapy. No interaction between LBM and AI therapy on VF prevalence was shown. Conversely, we reported a significant interaction between LBM, FBM and AI therapy (

Indexed as

AROMATASE INHIBITORSBODY COMPOSITIONBREAST CANCERVERTEBRAL FRACTURES

Identifiers

PMID33615109
PMCPMC7872339
OpenAlexW3108765970

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.