Evidence map›Paper›PMID 27075894›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2016

31P Magnetic Resonance Spectroscopy Assessment of Muscle Bioenergetics as a Predictor of Gait Speed in the Baltimore Longitudinal Study of Aging.

Seongjin Choi, David A Reiter, Michelle Shardell, Eleanor M Simonsick, Stephanie Studenski, Richard G Spencer, Kenneth W Fishbein, Luigi Ferrucci

Open access · bronzeAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 2 pooled it
17.6field-weighted citation impact, top 1% 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

71 citing papers in PubMed, 2 syntheses or guidelines pooled it, 94 citations in OpenAlex.

  1. NMR in biomedicine · 2025
    Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Review
  8. Article
  9. The link between Mitochondria and Sarcopenia.Journal of physiology and biochemistry · 2025
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Mitochondrial Quantity and Quality in Age-Related Sarcopenia.International journal of molecular sciences · 2024
    Review
  19. Article
  20. Review

11 more citing papers are in PubMed but not listed here.

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

8 authors at 3 institutions in 1 country.

Seongjin ChoiTranslational Gerontology Branch and.
David A ReiterLaboratory of Clinical Investigation, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, Maryland.
Michelle ShardellTranslational Gerontology Branch and.
Eleanor M SimonsickTranslational Gerontology Branch and.
Stephanie StudenskiTranslational Gerontology Branch and.
Richard G SpencerLaboratory of Clinical Investigation, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, Maryland.
Kenneth W FishbeinLaboratory of Clinical Investigation, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, Maryland.
Luigi FerrucciTranslational Gerontology Branch and ferruccilu@mail.nih.gov.
Institute on Aging · USNational Institute on Aging · USNational Institutes of Health · US

Funding

The Baltimore Longitudinal Study Of AgingZIAAG000015 · NIA · NATIONAL INSTITUTE ON AGING · PI SIMONSICK, ELEANOR MARIE · 2009 to 2025
$116.9M
Accurate Quantification in Physiologic Phosphorus MR SpectroscopyZIAAG000926 · NIA · NATIONAL INSTITUTE ON AGING · PI SPENCER, RICHARD · 2009 to 2025
$5.7M
Changes in muscle biomechanical quality with aging: causes and consequencesZIAAG000995 · NIA · NATIONAL INSTITUTE ON AGING · PI FERRUCCI, LUIGI · 2015 to 2025
$875k
Intramural NIH HHS Z99 AG999999
6 · The paper itself

Abstract

backgroundAerobic fitness and muscle bioenergetic capacity decline with age; whether such declines explain age-related slowing of walking speed is unclear. We hypothesized that muscle energetics and aerobic capacity are independent correlates of walking speed in simple and challenging performance tests and that they account for the observed age-related decline in walking speed in these same tests.

methodsMuscle bioenergetics was assessed as postexercise recovery rate of phosphocreatine (PCr), k

resultsAll gait speeds, k

conclusionMuscle bioenergetics assessed using

Indexed as

Geriatric AssessmentMagnetic Resonance SpectroscopyWalking SpeedAdultAgedAged, 80 and overAgingBaltimoreFemaleHumansLongitudinal StudiesMaleMiddle AgedPhosphocreatinePhosphocreatineBioenergeticsLower extremity performanceMagnetic resonance spectroscopyMuscleWalking speed

Identifiers

PMID27075894
PMCPMC5106855
OpenAlexW2338034322

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.