Evidence map›Paper›PMID 35271050›Full record

ArticleSensors (Basel, Switzerland)2022

Effect of Strength Training Protocol on Bone Mineral Density for Postmenopausal Women with Osteopenia/Osteoporosis Assessed by Dual-Energy X-ray Absorptiometry (DEXA).

Iulian Ștefan Holubiac, Florin Valentin Leuciuc, Daniela Maria Crăciun, Tatiana Dobrescu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Exercise training and bone mineral density in postmenopausal women: an updated systematic review and meta-analysis of intervention studies with emphasis on potential moderators.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2023
    Pooled it
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  13. Special Issue "Computer Aided Diagnosis Sensors".Sensors (Basel, Switzerland) · 2022
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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

4 authors.

Iulian Ștefan HolubiacDepartment of Physical Education and Sport, Stefan cel Mare University, 720229 Suceava, Romania.ORCID 0000-0003-4808-5990
Florin Valentin LeuciucDepartment of Physical Education and Sport, Stefan cel Mare University, 720229 Suceava, Romania.ORCID 0000-0002-9976-0397
Daniela Maria CrăciunDepartment of Physical Education and Sport, Stefan cel Mare University, 720229 Suceava, Romania.
Tatiana DobrescuDepartment of Physical Education and Sport Performance, Vasile Alecsandri University, 600115 Bacau, Romania.ORCID 0000-0002-7397-7969

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to introduce a resistance training protocol (6 repetitions × 70% of 1 maximum repetition (1RM), followed by 6 repetitions × 50% of 1RM within the same set) specifically designed for postmenopausal women with osteopenia/osteoporosis and monitor the effect of the protocol on bone mineral density (BMD) in the lumbar spine, assessed by dual-energy X-ray absorptiometry (DEXA). The subjects included in the study were 29 postmenopausal women (56.5 ± 2.8 years) with osteopenia or osteoporosis; they were separated into two groups: the experimental group (

Indexed as

Bone Diseases, MetabolicOsteoporosisResistance TrainingAbsorptiometry, PhotonBone DensityFemaleHumansLumbar VertebraePostmenopausebone massDEXAosteopeniaosteoporosisstrength training

Identifiers

PMID35271050
PMCPMC8915025

What OpenQuestion holds

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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.