Evidence map›Paper›PMID 31237312›Full record

ReviewThe Journal of frailty & aging2019

Development of Pharmacotherapies for the Treatment of Sarcopenia.

D Rooks, R Roubenoff

Open access · goldAbstract readReview
In one paragraph

Review in The Journal of frailty & aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
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  12. Sarcopenia in Rheumatoid arthritis. A narrative review.Journal of frailty, sarcopenia and falls · 2023
    Review
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  16. Observational
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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

2 authors at 2 institutions in 2 countries.

D RooksDaniel Rooks, The Department of Musculoskeletal Translational Medicine at the Novartis Institutes for BioMedical Research, 220 Massachusetts Avenue, Cambridge, MA 02139, USA, daniel.rooks@novartis.com.
R Roubenoff
Boston Biomedical Research Institute · USNovartis (Switzerland) · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcopenia, the associated loss of skeletal muscle mass and strength and impaired physical function seen with aging, is a growing, global public health challenge in need of accepted, proven treatments that address the needs of a broad range of older adults. While exercise, primarily resistance training, and increased dietary protein have been shown to delay and even reverse losses in muscle mass, strength and physical function seen with aging, proven treatments that are accessible globally, cost effective and sustainable by patients are needed. While no drug has yet demonstrated the substantial safety and clinical value needed to be the first pharmacological therapy registered for muscle wasting or sarcopenia, the field is active. Several approaches to treating the muscle loss and subsequent functional decline are being studied in a variety of patient populations across every continent. We provide a review of the leading programs and approaches and available findings from recent studies. In addition, we briefly discuss several related issues needed to facilitate the development of a safe and efficacious pharmacotherapeutic that could be used as part of a treatment plan for older men and women with sarcopenia.

Indexed as

Drug DevelopmentDrug DiscoveryAgedFemaleHumansMaleSarcopeniaagingfunctional impairmentpharmacotherapySarcopeniaskeletal muscle

Identifiers

PMID31237312
PMCPMC12275693
OpenAlexW2941076520

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.