Evidence map›Paper›PMID 40604484›Full record

ArticleBMC geriatrics2025

Cross-cultural adaptation and validation of the Sinhala version of SarQoL

Nirmala Rathnayake, Thilina Abeygunasekara, Gayani Liyanage, Sewwandi Subasinghe, Warsha De Zoysa, Dhammika Palangasinghe, Sarath Lekamwasam

Abstract readValidation Study
In one paragraph

Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Nirmala RathnayakeDepartment of Nursing, Faculty of Allied Health Sciences, University of Ruhuna, Galle, Sri Lanka. nirmala.priyanthi@gmail.com.
Thilina AbeygunasekaraDepartment of Nursing, Faculty of Allied Health Sciences, University of Ruhuna, Galle, Sri Lanka.
Gayani LiyanageDepartment of Pharmacology, Faculty of Medicine, University of Ruhuna, Galle, Sri Lanka.
Sewwandi SubasingheDepartment of Pharmacy, Faculty of Allied Health Sciences, University of Ruhuna, Galle, Sri Lanka.
Warsha De ZoysaDepartment of Medicine, Faculty of Medicine, University of Ruhuna, Galle, Sri Lanka.
Dhammika PalangasingheDepartment of Medicine, Faculty of Medicine, University of Ruhuna, Galle, Sri Lanka.
Sarath LekamwasamDepartment of Medicine, Faculty of Medicine, University of Ruhuna, Galle, Sri Lanka.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSarcopenia, characterized by the loss of muscle strength, mass, and function, significantly impacts the quality of life (QoL) in older adults. The Sarcopenia Quality of Life (SarQoL

methodsThe standard protocol for cross-cultural adaptation was followed, including forward translation, synthesis, backward translation, expert committee review, and pre-testing. The finalized Sinhala version of SarQoL

resultsThe mean age of participants was 72.1 ± 4.8 years, with 139 (47.1%) identified as having probable sarcopenia. The questionnaire demonstrated strong internal consistency (Cronbach's alpha = 0.82) and excellent test-retest reliability (Intraclass Correlation Coefficient; ICC = 0.90; 95% CI: 0.81-0.96). Significant correlations between SarQoL

conclusionsThe Sinhala version of SarQoL

trial registrationNot applicable.

Indexed as

Cross-Cultural ComparisonQuality of LifeSarcopeniaAgedAged, 80 and overFemaleHand StrengthHumansPsychometricsReproducibility of ResultsSri LankaSurveys and QuestionnairesQuality of lifeQuestionnaireSarcopeniaSinhala versionValidation

Identifiers

PMID40604484
PMCPMC12220569

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.