Evidence map›Paper›PMID 19657558›Full record

ArticleThe journal of nutrition, health & aging2009

Target population for clinical trials.

S Studenski

Open access · greenAbstract read
In one paragraph

Article in The journal of nutrition, health & aging, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Removal ofFrontiers in aging · 2021
    Article
  2. Review
  3. Horse-racing effect and clinical trials in older persons.Frontiers in aging neuroscience · 2014
    Review
  4. Mitochondrial dysfunction and sarcopenia of aging: from signaling pathways to clinical trials.The international journal of biochemistry & cell biology · 2013
    Review
  5. Article
  6. Designing Phase II B trials in sarcopenia: the best target population.The journal of nutrition, health & aging · 2011
    Article
  7. Review
  8. Carla Task Force on Sarcopenia: propositions for clinical trials.The journal of nutrition, health & aging · 2009
    Article
  9. Article
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.

S StudenskiPittsburgh Claude D. Pepper Center, PA, USA. sas33@pitt.edu

Funding

VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
NIA NIH HHS P30 AG 024827NIA NIH HHS P30 AG024827
6 · The paper itself

Abstract

The target population for clinical trials aimed at sarcopenia depends on the goals of treatment and the expected natural history of sarcopenia. Based on a natural history where loss of muscle mass and/or quality leads to loss of strength, and eventually to reduced mobility and functional dependence, treatment goals can be defined for both preventive and therapeutic interventions. For example, a target population with low muscle mass and poor strength could be treated to prevent the onset of mobility disability, or a target population with low muscle mass and poor strength with mobility disability could be treated therapeutically to improve mobility. Eligibility for a trial should also be based on careful consideration of factors that affect 1) the ability to respond to treatment, 2) the safety of treatment, 3) expected prevalence and 4) feasibility.

Indexed as

Clinical Trials as TopicPatient SelectionActivities of Daily LivingAgedAgingGeriatric AssessmentHumansIndependent LivingMuscle, SkeletalMuscle StrengthPersons with DisabilitiesSarcopeniaTreatment Outcome

Identifiers

PMID19657558
PMCPMC4886328
OpenAlexW2060477486

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.