Evidence map›Paper›PMID 35553258›Full record

ArticleArchives of osteoporosis2022

Age-dependent assessment thresholds to optimize patient care in a resource-limited setting: an analysis based on the Sri Lankan FRAX model.

Sarath Lekamwasam, Thilina Abeygunasekara, Nirmala Rathnayake, Gayani Liyanage, Sewwandi Subasinghe

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Article in Archives of osteoporosis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Sarath LekamwasamDepartment of Medicine, Faculty of Medicine, Population Health Research Center, University of Ruhuna, Matara, Sri Lanka. slekamwasam@gmail.com.
Thilina AbeygunasekaraDepartment of Nursing, Faculty of Allied Health Sciences, University of Ruhuna, Matara, Sri Lanka.
Nirmala RathnayakeDepartment of Nursing, Faculty of Allied Health Sciences, University of Ruhuna, Matara, Sri Lanka.
Gayani LiyanageDepartment of Pharmacology, Faculty of Medicine, University of Ruhuna, Matara, Sri Lanka.
Sewwandi SubasingheDepartment of Pharmacy, Faculty of Allied Health Sciences, University of Ruhuna, Matara, Sri Lanka.
University of Ruhuna · LK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Age-dependent upper and lower assessment thresholds help categorizing women aged 40 years or more according to their fracture risk, independent of BMD information.

introductionAge-dependent assessment thresholds of the FRAX algorithm help stratifying men and women aged 40 years or more according to their fracture risk. This allows clinicians to decide on those who require interventions without BMD assessment and those who require BMD input for further assessment.

methodsIntervention thresholds were defined by 10-year probabilities of a major osteoporotic fracture (MOF) and hip fracture (HF) considering a woman with a BMI of 25.0 kg/m

resultsThe LATs of MOF and HF varied from 0.7 to 8.8% and 0.1 to 3.7%, from 40 to 80 years, respectively. The corresponding values for UATs were 2.5 to 21.6% and 0.3 to 8.4%. ITs of MOF and HF varied from 2.1 to 18% and 0.2 to 7%, respectively. When applied to a group of 315 postmenopausal women who underwent DXA for clinical indications, 22.9% of women were above the UATs (high-risk category) while 8.6% were below the LATs (low-risk category). The proportion of women in the intermediate category who require BMD for further assessment was 68.6% (95% CI 59.7 to 77.5%).

conclusionsIn nearly one-third of women aged 40 years or more, the decision to treat or not to treat can be achieved without BMD estimation. The remaining two-thirds will require a BMD assessment for further evaluation.

Indexed as

Hip FracturesOsteoporotic FracturesAdultAgedAged, 80 and overBone DensityFemaleHumansMaleMiddle AgedPatient CareRisk AssessmentRisk FactorsSri LankaFRAXIntervention thresholdsOsteoporosisSri Lanka.

Identifiers

PMID35553258
OpenAlexW4280548295

What OpenQuestion holds

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Registered trials

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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.