E V McCloskey
Overview
Explore the profile of E V McCloskey including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
167
Citations
8234
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
11.
Johansson H, Naureen G, Iqbal R, Jafri L, Khan A, Umer M, et al.
Osteoporos Int
. 2021 Aug;
33(1):105-112.
PMID: 34414463
Purpose: The fracture risk assessment algorithm FRAX® has been recently calibrated for Pakistan, but guidance is needed on how to apply fracture probabilities to clinical practice. Methods: The age-specific 10-year...
12.
McCloskey E, Harvey N, Johansson H, Lorentzon M, Liu E, Vandenput L, et al.
Climacteric
. 2021 Jul;
25(1):22-28.
PMID: 34319212
The introduction of the FRAX algorithms has facilitated the assessment of fracture risk on the basis of fracture probability. FRAX integrates the influence of several well-validated risk factors for fracture...
13.
Lorentzon M, Johansson H, Harvey N, Liu E, Vandenput L, McCloskey E, et al.
Climacteric
. 2021 Jul;
25(1):4-10.
PMID: 34319208
Osteoporosis is a disease characterized by impaired bone microarchitecture and reduced bone mineral density (BMD) resulting in bone fragility and increased risk of fracture. In western societies, one in three...
14.
Kebaetse M, Nkhwa S, Mogodi M, Masunge J, Gureja Y, Ramabu M, et al.
Arch Osteoporos
. 2021 Jun;
16(1):90.
PMID: 34100118
Introduction: Hip fracture rates in Botswana were used to create a FRAX® model for fracture risk assessment. Objective: This paper describes the development and characteristics of a country-specific FRAX model...
15.
McCloskey E, Borgstrom F, Cooper C, Harvey N, Javaid M, Lorentzon M, et al.
Osteoporos Int
. 2021 Apr;
32(6):1019-1025.
PMID: 33914103
No abstract available.
16.
Kanis J, Johansson H, Harvey N, Lorentzon M, Liu E, Vandenput L, et al.
Osteoporos Int
. 2021 Apr;
32(10):1951-1960.
PMID: 33813622
Introduction: Guidelines for the assessment of fracture risk have begun to categorise patients eligible for treatment into high and very high risk of fracture to inform choice of therapeutic approach....
17.
Naureen G, Johansson H, Iqbal R, Jafri L, Khan A, Umer M, et al.
Arch Osteoporos
. 2021 Feb;
16(1):34.
PMID: 33595723
Introduction: FRAX models are frequently requested for countries with little or no data on the incidence of hip fracture. In such circumstances, the International Society for Clinical Densitometry and International...
18.
Kebaetse M, Nkhwa S, Mogodi M, Masunge J, Gureja Y, Ramabu M, et al.
Arch Osteoporos
. 2021 Feb;
16(1):24.
PMID: 33550503
Objective: This article describes the epidemiology of hip fractures in the Republic of Botswana. Methods: A retrospective patient chart review was conducted to identify from hospital registers the number of...
19.
Kanis J, Johansson H, Harvey N, Gudnason V, Sigurdsson G, Siggeirsdottir K, et al.
Osteoporos Int
. 2021 Feb;
32(8):1547-1555.
PMID: 33537845
Introduction: The recency of prior fractures affects subsequent fracture risk. Variable recency may obscure other factors that affect subsequent fracture risk. The aim of this study was to quantify the...
20.
McCloskey E, Johansson H, Harvey N, Lorentzon M, Shi Y, Kanis J
Osteoporos Int
. 2021 Feb;
32(8):1601-1608.
PMID: 33537844
Introduction: Post hoc analyses of placebo-controlled osteoporosis treatment studies have shown significantly greater reductions of fracture incidence for higher fracture risk patients. This study determined the interaction between baseline FRAX...