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Record W4368356903 · doi:10.1002/jcsm.13243

Sarcopenia and health‐related quality of life: A systematic review and meta‐analysis

2023· review· en· W4368356903 on OpenAlexaboutno aff
Charlotte Beaudart, Céline Demonceau, Jean‐Yves Reginster, Médéa Locquet, Matteo Cesari, Alfonso J. Cruz‐Jentoft, Olivier Bruyère

Bibliographic record

VenueJournal of Cachexia Sarcopenia and Muscle · 2023
Typereview
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsnot available
Fundersnot available
KeywordsMeta-analysisMedicineObservational studyMEDLINESystematic reviewSarcopeniaPhysical therapyQuality of life (healthcare)Confidence intervalStrictly standardized mean differenceInternal medicine

Abstract

fetched live from OpenAlex

Abstract The decrease of physical abilities and functional decline that can be caused by musculoskeletal conditions such as sarcopenia, can lead to higher levels of dependency and disability. Therefore, it may influence patient reported outcome measures (PROM), such as the health‐related quality of life (HRQoL). The purpose of this systematic review and meta‐analysis is to provide a comprehensive overview of the relationship between sarcopenia and HRQoL. Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) were followed throughout the whole process of this work. A protocol was previously published on PROSPERO. The electronic databases MEDLINE, Scopus, Allied and Complementary Medicine (AMED), EMB Review – ACP Journal Club, EBM Review ‐ Cochrane Central of Register of Controlled Trials and APA PsychInfo were searched until October 2022 for observational studies reporting a HRQoL assessment in both sarcopenic and non‐sarcopenic individuals. Study selection and data extraction were carried out by two independent researchers. Meta‐analysis was performed using a random effect model, reporting an overall standardized mean difference (SMD) and its 95% confidence interval (CI) between sarcopenic and non‐sarcopenic individuals. Study quality was measured using the Newcastle‐Ottawa Scale and the strength of evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) tool. The search strategy identified 3725 references from which 43 observational studies were eligible and included in this meta‐synthesis study. A significantly lower HRQoL was observed for sarcopenic individuals compared with non‐sarcopenic ones (SMD −0.76; 95% CI −0.95; −0.57). Significant heterogeneity was associated with the model ( I 2 = 93%, Q test P ‐value <0.01). Subgroup analysis showed a higher effect size when using the specific questionnaire SarQoL compared with generic questionnaires (SMD −1.09; 95% CI −1.44; −0.74 with the SarQoL versus −0.49; 95% CI −0.63; −0.36 with generic tools; P ‐value for interaction <0.01). A greater difference of HRQoL between sarcopenic and non‐sarcopenic was found for individuals residing in care homes compared with community‐dwelling individuals ( P ‐value for interaction <0.001). No differences were found between age groups, diagnostic techniques, and continents/regions. The level of evidence was rated as moderate using the GRADE assessment. This systematic review and meta‐analysis combining 43 observational studies shows that HRQoL is significantly reduced in sarcopenic patients. The use of disease‐specific HRQoL instruments may better discriminate sarcopenic patients with respect to their quality of life.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.024
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.034
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0240.041
Bibliometrics0.0080.009
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.327
GPT teacher head0.478
Teacher spread0.151 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations214
Published2023
Admission routes1
Has abstractyes

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