Evidence map›Paper›PMID 24115774›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2014

Biological age revisited.

Arnold Mitnitski, Kenneth Rockwood

Abstract readLetterComment
PubMed Publisher
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Change in the Rate of Biological Aging in Response to Caloric Restriction: CALERIE Biobank Analysis.The journals of gerontology. Series A, Biological sciences and medical sciences · 2017
    Trial
  2. Review
  3. Heritability of the glycan clock of biological age.Frontiers in cell and developmental biology · 2022
    Article
  4. Heterogeneity of Human Aging and Its Assessment.The journals of gerontology. Series A, Biological sciences and medical sciences · 2017
    Article
  5. Article
  6. Early-Life Intelligence Predicts Midlife Biological Age.The journals of gerontology. Series B, Psychological sciences and social sciences · 2016
    Article
  7. Article
  8. Dynamics of biomarkers in relation to aging and mortality.Mechanisms of ageing and development · 2016
    Review
  9. Quantification of biological aging in young adults.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  10. Article
  11. Glycans are a novel biomarker of chronological and biological ages.The journals of gerontology. Series A, Biological sciences and medical sciences · 2014
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Arnold MitnitskiAddress correspondence to Arnold Mitnitski, Department of Medicine, Dalhousie University, 1313-5955 Veterans' Memorial Lane, Halifax, Nova Scotia B3H 2E1, Canada. E-mail: arnold.mitnitski@dal.ca.
Kenneth Rockwood

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AgingBiomarkersModels, TheoreticalFemaleHumansMaleBiomarkers

Identifiers

PMID24115774

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.