Evidence map›Paper›PMID 40921881›Full record

ArticleArchives of osteoporosis2025

Effect of comorbidities and multimorbidity on bone mineral density in patients with osteoporosis.

Luis Leal-Vega, María Begoña Coco-Martín, Adrián Martín-Gutiérrez, José Antonio Blázquez-Cabrera, Francisca Arranz-García, Amalia Navarro, María Jesús Moro, José Filgueira, Manuel Sosa-Henríquez, María Ángeles Vázquez and 5 more

Abstract read
In one paragraph

Article in Archives of osteoporosis, 2025. 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
–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

1 citing paper in PubMed.

  1. 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

15 authors.

Luis Leal-VegaGroup of Applied Clinical Neurosciences and Advanced Data Analysis, Department of Medicine, Dermatology and Toxicology, University of Valladolid, Av. Ramón y Cajal, 7, 47005, Valladolid, Spain.
María Begoña Coco-MartínGroup of Applied Clinical Neurosciences and Advanced Data Analysis, Department of Medicine, Dermatology and Toxicology, University of Valladolid, Av. Ramón y Cajal, 7, 47005, Valladolid, Spain. mbcoco@uva.es.
Adrián Martín-GutiérrezGroup of Applied Clinical Neurosciences and Advanced Data Analysis, Department of Medicine, Dermatology and Toxicology, University of Valladolid, Av. Ramón y Cajal, 7, 47005, Valladolid, Spain.
José Antonio Blázquez-CabreraInternal Medicine Service, Albacete University Hospital Complex, Albacete, Spain.
Francisca Arranz-GarcíaInternal Medicine Service, San Carlos Clinical Hospital, Madrid, Spain.
Amalia NavarroInternal Medicine Service, Albacete University Hospital Complex, Albacete, Spain.
María Jesús MoroInternal Medicine Service, Infanta Leonor University Hospital, Madrid, Spain.
José FilgueiraInternal Medicine Service, Gregorio Marañón University Hospital, Madrid, Spain.
Manuel Sosa-HenríquezInternal Medicine Service, Insular University Hospital of Gran Canaria, Las Palmas, Spain.
María Ángeles VázquezDepartment of Medicine, University of Sevilla, Seville, Spain.
María José MontoyaDepartment of Medicine, University of Sevilla, Seville, Spain.
Manuel Díaz-CurielInternal Medicine Service, Jiménez Díaz Foundation University Hospital, Madrid, Spain.
José Manuel OlmosInternal Medicine Service, Marqués de Valdecilla University Hospital, Cantabria, Spain.
José Luis Pérez-CastrillónInternal Medicine Service, Río Hortega University Hospital, Valladolid, Spain.
OSTEOMED Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This retrospective cohort study analysed a total of 344 patients from the OSTEOMED registry with matched baseline and follow-up DXA data, finding that comorbidities such as nephrolithiasis, hypertension or coronary heart disease may influence the response to prescribed anti-osteoporotic treatment. PURPOSE: To determine: 1) comorbidities associated with reduced bone mineral density (BMD), T-score and Z-score at the lumbar spine (L1 to L4 vertebrae), femoral neck and total hip; and 2) the role of multimorbidity (≥ 2 comorbidities) in reduced BMD, T-score and Z-score at the lumbar spine, femoral neck and total hip.

methodsRetrospective cohort study analyzing patients [319 females (92.73%), 25 males (7.27%), age 62.13 ± 10.46 years] from the OSTEOMED registry with matched baseline and follow-up dual-energy X-ray absorptiometry (DXA) data. Patients' sex, age, body mass index (BMI), comorbidities and treatments were collected from their medical records after they had given written informed consent.

resultsConsidering a least significant change (LSC) of 4.2%, neither comorbidity nor multimorbidity was statistically significantly associated with a reduction in BMD in any of the bone regions studied. However, binary logistic regression analyses adjusted for sex, age, BMI and treatments showed that nephrolithiasis (p = 0.044) and coronary heart disease (p = 0.026) were statistically significantly associated with a reduction in total hip T-score and that hypertension (p = 0.049) and coronary heart disease (p = 0.01) were statistically significantly associated with a reduction in total hip Z-score.

conclusionDespite comorbidity and multimorbidity, patients with osteoporosis are mostly well protected by anti-osteoporotic treatment in daily clinical practice. However, nephrolithiasis, hypertension, and coronary heart disease can influence the response to prescribed anti-osteoporotic treatment, especially at the total hip level.

Indexed as

Bone DensityMultimorbidityOsteoporosisAbsorptiometry, PhotonAgedComorbidityFemaleFemur NeckHumansHypertensionLumbar VertebraeMaleMiddle AgedRetrospective StudiesBone densityComorbidityDual-energy X-ray absorptiometryEvidence-based practiceMultimorbidityOsteoporosis

Identifiers

PMID40921881
PMCPMC12417292

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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.