Evidence map›Paper›PMID 37853468›Full record

ArticleImmunity & ageing : I & A2023

Effect of immunology biomarkers associated with hip fracture and fracture risk in older adults.

Bernardo Abel Cedeno-Veloz, Lucía Lozano-Vicario, Fabricio Zambom-Ferraresi, Joaquín Fernández-Irigoyen, Enrique Santamaría, Alba Rodríguez-García, Roman Romero-Ortuno, Jaime Mondragon-Rubio, Javier Ruiz-Ruiz, Robinson Ramírez-Vélez and 2 more

Open access · goldAbstract read
In one paragraph

Article in Immunity & ageing : I & A, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
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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

12 authors at 3 institutions in 2 countries.

Bernardo Abel Cedeno-VelozGeriatric Department, Hospital Universitario de Navarra (HUN), 2 Navarrabiomed, Pamplona, Navarra, IdiSNA, 31008, Spain. ba.cedeno.veloz@navarra.es.
Lucía Lozano-VicarioGeriatric Department, Hospital Universitario de Navarra (HUN), 2 Navarrabiomed, Pamplona, Navarra, IdiSNA, 31008, Spain.
Fabricio Zambom-FerraresiNavarrabiomed, Navarra Medical Research Institute, Pamplona, Navarra, 31008, Spain.
Joaquín Fernández-IrigoyenNavarrabiomed, Navarra Medical Research Institute, Pamplona, Navarra, 31008, Spain.
Enrique SantamaríaNavarrabiomed, Navarra Medical Research Institute, Pamplona, Navarra, 31008, Spain.
Alba Rodríguez-GarcíaGeriatric Department, Hospital Universitario de Navarra (HUN), 2 Navarrabiomed, Pamplona, Navarra, IdiSNA, 31008, Spain.
Roman Romero-OrtunoDiscipline of Medical Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland.
Jaime Mondragon-RubioDepartment of Orthopaedics Clinics and Traumatology, University Hospital of Navarre (HUN), Pamplona, Navarra, 31008, Spain.
Javier Ruiz-RuizDepartment of Orthopaedics Clinics and Traumatology, University Hospital of Navarre (HUN), Pamplona, Navarra, 31008, Spain.
Robinson Ramírez-VélezNavarrabiomed, Navarra Medical Research Institute, Pamplona, Navarra, 31008, Spain.
Mikel IzquierdoNavarrabiomed, Navarra Medical Research Institute, Pamplona, Navarra, 31008, Spain.
Nicolás Martínez-VelillaGeriatric Department, Hospital Universitario de Navarra (HUN), 2 Navarrabiomed, Pamplona, Navarra, IdiSNA, 31008, Spain.
Universidad de Navarra · ESNavarrabiomed · ESTrinity College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoporosis is a skeletal disease that can increase the risk of fractures, leading to adverse health and socioeconomic consequences. However, current clinical methods have limitations in accurately estimating fracture risk, particularly in older adults. Thus, new technologies are necessary to improve the accuracy of fracture risk estimation. In this observational study, we aimed to explore the association between serum cytokines and hip fracture status in older adults, and their associations with fracture risk using the FRAX reference tool. We investigated the use of a proximity extension assay (PEA) with Olink. We compared the characteristics of the population, functional status and detailed body composition (determined using densitometry) between groups. We enrolled 40 participants, including 20 with hip fracture and 20 without fracture, and studied 46 cytokines in their serum. After conducting a score plot and two unpaired t-tests using the Benjamini-Hochberg method, we found that Interleukin 6 (IL-6), Lymphotoxin-alpha (LT-α), Fms-related tyrosine kinase 3 ligand (FLT3LG), Colony stimulating factor 1 (CSF1), and Chemokine (C-C motif) ligand 7 (CCL7) were significantly different between fracture and non-fracture patients (p < 0.05). IL-6 had a moderate correlation with FRAX (R

Indexed as

BiomarkersCytokinesFRAXHip fracturesPrognosis

Identifiers

PMID37853468
PMCPMC10583364
OpenAlexW4387740977

What OpenQuestion 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 OpenQuestion graph.