Evidence map›Paper›PMID 37272263›Full record

ArticleAging cell2023

The D

Lauren Wimer, Elena Goncharova, Sofiya Galkina, Edna Nyangau, Mahalakshmi Shankaran, Asia Davis, Leandro Prado, Maria Castro Munoz, Sharon Epstein, Cavan Patterson and 4 more

Erratum issuedOpen access · goldAbstract readEvaluation Study
In one paragraph

Article in Aging cell, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 31% 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, 4 citations in OpenAlex.

  1. Article
  2. The DAging cell · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 1 country.

Lauren WimerBuck Institute for Research on Aging, Novato, California, USA.ORCID 0009-0009-2104-9501
Elena GoncharovaBuck Institute for Research on Aging, Novato, California, USA.
Sofiya GalkinaBuck Institute for Research on Aging, Novato, California, USA.
Edna NyangauDepartment of Nutritional Sciences and Toxicology, University of California, Berkeley, California, USA.
Mahalakshmi ShankaranDepartment of Nutritional Sciences and Toxicology, University of California, Berkeley, California, USA.
Asia DavisBuck Institute for Research on Aging, Novato, California, USA.
Leandro PradoBuck Institute for Research on Aging, Novato, California, USA.
Maria Castro MunozBuck Institute for Research on Aging, Novato, California, USA.
Sharon EpsteinBuck Institute for Research on Aging, Novato, California, USA.
Cavan PattersonBuck Institute for Research on Aging, Novato, California, USA.
Nicholas ShaumAstera Institute, Berkeley, California, USA.
Mark HellersteinDepartment of Nutritional Sciences and Toxicology, University of California, Berkeley, California, USA.
William EvansDepartment of Nutritional Sciences and Toxicology, University of California, Berkeley, California, USA.
Simon MelovBuck Institute for Research on Aging, Novato, California, USA.ORCID 0000-0001-8554-2834
Buck Institute for Research on Aging · USUniversity of California, Berkeley · USMolecular Sciences Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing accurate methods to quantify age-related muscle loss (sarcopenia) could greatly accelerate development of therapies to treat muscle loss in the elderly, as current methods are inaccurate or expensive. The current gold standard method for quantifying sarcopenia is dual-energy X-ray absorptiometry (DXA) but does not measure muscle directly-it is a composite measure quantifying "lean mass" (muscle) excluding fat and bone. In humans, DXA overestimates muscle mass, which has led to erroneous conclusions about the importance of skeletal muscle in human health and disease. In animal models, DXA is a popular method for measuring lean mass. However, instrumentation is expensive and is potentially limited by anesthesia concerns. Recently, the D

Indexed as

Body CompositionBody Weights and MeasuresCreatinineAbsorptiometry, PhotonAnimalsFemaleMaleMiceMice, Inbred C57BLMuscle, SkeletalCreatinineagingmicesarcopeniaskeletal muscle

Identifiers

PMID37272263
PMCPMC10410001
OpenAlexW4379375385

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.