Evidence map›Paper›PMID 40879947›Full record

ReviewAdvances in experimental medicine and biology2025

Prevention of Sarcopenia.

LaDora V Thompson

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 2025. 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
–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

2 citing papers in PubMed.

  1. Review
  2. Review
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

1 author.

LaDora V ThompsonDepartment of Physical Therapy, Sargent College of Health & Rehabilitation Sciences, Boston University, Boston, MA, USA. lvthomp@bu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This chapter outlines the definition of sarcopenia and the challenges faced by the scientific and clinical community in obtaining a universally accepted definition. Because sarcopenia is a risk factor for a multitude of adverse health outcomes, the chapter discusses the strengths and weaknesses of recent diagnostic criteria (sarcopenia algorithms) to identify older people with sarcopenia outlined by experts across the world. In particular, the assessment tools and their cut-off points (reference values) for muscle mass, strength, and physical performance are highlighted. Attention is also given to the available screening assessment tools, which provide opportunities to identify older people at risk for sarcopenia in large communities or settings. Identifying effective interventions to combat sarcopenia is paramount; thus, the chapter highlights the available published evidence where the participants of the study were identified as sarcopenic based on the established sarcopenia algorithms. The benefits of resistance training, endurance training, power training, high-intensity interval training, multicomponent training, multidomain programs, blood flow restriction, whole-body vibration, Tai Chi, YiJinJing, and Baduanjin in people diagnosed with sarcopenia are reviewed. The most promising nutritional interventions and drug therapies in older people with sarcopenia are also discussed. Lastly, the chapter summarizes the importance of physical activity.

Indexed as

Muscle, SkeletalSarcopeniaAgedAlgorithmsExerciseHumansMuscle StrengthRisk FactorsProgressive resistance trainingSarcopenia algorithmsSarcopenia screening tools

Identifiers

What OpenQuestion holds

Textmetadata
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.