Evidence map›Paper›PMID 33532259›Full record

ArticleQuantitative imaging in medicine and surgery2021

Paulo Moraes Agnollitto, Guilherme de Araújo Braz, Adriano Levi Spirlandeli, Francisco José Albuquerque de Paula, Antonio Adilton Oliveira Carneiro, Marcello Henrique Nogueira-Barbosa

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2021. 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
0.6field-weighted citation impact, top 29% 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, 9 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

6 authors at 2 institutions in 1 country.

Paulo Moraes AgnollittoRibeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil.
Guilherme de Araújo BrazPhysics Department, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, University of São Paulo, Ribeirão Preto, SP, Brazil.
Adriano Levi SpirlandeliRibeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil.
Francisco José Albuquerque de PaulaRibeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil.
Antonio Adilton Oliveira CarneiroPhysics Department, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, University of São Paulo, Ribeirão Preto, SP, Brazil.
Marcello Henrique Nogueira-BarbosaRibeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil.
Universidade de São Paulo · BRClinics Hospital of Ribeirão Preto · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteoporosis is a highly prevalent multifactorial osteometabolic disease, classically diagnosed,

methodsThree groups of mice femurs were used: (I) control group (CG), (II) osteoporosis group (OG) and (III) treated osteoporosis group (TOG), in which the animals received pamidronate, an antiresorptive drug. Evaluation was performed in an acoustic tank, using two high frequency focused beams produced by a confocal ultrasonic transducer. A hydrophone registered the low frequency acoustic response (AR) of bone samples. We used micro-computed tomography (microCT) as the reference standard and evaluated the correlation between VA and microCT parameters.

resultsThe spectral analyses of the ARs with estimated area under the curve (AUC) values (mean; st. dev.) were, respectively, 1.29e

conclusionsThese results encourage further studies aimed at evaluating the potential use of VA for the diagnosis of osteoporosis as a relatively low-cost and radiation-free alternative to DXA.

Indexed as

micemicro-computed tomography (microCT)osteoporosisultrasoundVibro-acoustography (VA)

Identifiers

PMID33532259
PMCPMC7779931
OpenAlexW3092381840

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.