Evidence map›Paper›PMID 34194719›Full record

ArticleJournal of osteoporosis2021

FRAX-Based Intervention Thresholds for Osteoporosis Treatment in Ukraine.

Vladyslav Povoroznyuk, Nataliia Grygorieva, Helena Johansson, Mattias Lorentzon, Nicholas C Harvey, Eugene V McCloskey, Anna Musienko, Enwu Liu, John A Kanis, Nataliia Zaverukha and 1 more

Abstract read
In one paragraph

Article in Journal of osteoporosis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

11 authors.

Vladyslav PovoroznyukState Institution, D.F. Chebotarev Institute of Gerontology NAMS of Ukraine, Kyiv, Ukraine.ORCID https://orcid.org/0000-0002-8855-482X
Nataliia GrygorievaState Institution, D.F. Chebotarev Institute of Gerontology NAMS of Ukraine, Kyiv, Ukraine.ORCID https://orcid.org/0000-0002-4266-461X
Helena JohanssonCentre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK.
Mattias LorentzonMary McKillop Health Institute, Australian Catholic University, Melbourne, Australia.
Nicholas C HarveyMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.
Eugene V McCloskeyCentre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK.ORCID https://orcid.org/0000-0003-0177-8140
Anna MusienkoState Institution, D.F. Chebotarev Institute of Gerontology NAMS of Ukraine, Kyiv, Ukraine.ORCID https://orcid.org/0000-0002-1672-1991
Enwu LiuMary McKillop Health Institute, Australian Catholic University, Melbourne, Australia.
John A KanisCentre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK.ORCID https://orcid.org/0000-0002-3129-4326
Nataliia ZaverukhaState Institution, D.F. Chebotarev Institute of Gerontology NAMS of Ukraine, Kyiv, Ukraine.ORCID https://orcid.org/0000-0002-0181-2794
Oksana IvanykState Institution, D.F. Chebotarev Institute of Gerontology NAMS of Ukraine, Kyiv, Ukraine.

Funding

Medical Research Council MC_PC_21001Medical Research Council MC_PC_21003
6 · The paper itself

Abstract

objectivesOsteoporosis, in addition to its consequent fracture burden, is a common and costly condition. FRAX

methodsIn a referral population sample of 3790 Ukrainian women, 10-year probabilities of major osteoporotic fracture (MOF) and hip fracture separately were calculated using the Ukrainian FRAX model, with and without femoral neck bone mineral density (BMD). We used a similar approach to that first proposed by the UK National Osteoporosis Guideline Group, whereby treatment is indicated if the probability equals or exceeds that of a woman of the same age with a prior fracture.

resultsThe MOF intervention threshold in females (the age-specific 10-year fracture probability) increased with age from 5.5% at the age of 40 years to 11% at the age of 75 years where it plateaued and then decreased slightly at age 90 (10%). Lower and upper thresholds were also defined to determine the need for BMD, if not already measured; the approach targets BMD measurements to those at or near the intervention threshold. The proportion of the referral populations eligible for treatment, based on prior fracture or similar or greater probability, ranged from 44% to 69% depending on age. The prevalence of the previous fracture rose with age, as did the proportion eligible for treatment. In contrast, the requirement for BMD testing decreased with age.

conclusionsThe present study describes the development and application of FRAX-based assessment guidelines in Ukraine. The thresholds can be used in the presence or absence of access to BMD and optimize the use of BMD where access is restricted.

Identifiers

PMID34194719
PMCPMC8214495

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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.