Evidence map›Paper›PMID 31332232›Full record

ArticleScientific reports2019

Male mortality rates mirror mortality rates of older females.

Peter Lenart, Daniela Kuruczova, Peter K Joshi, Julie Bienertová-Vašků

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Making sense of the ageing methylome.Nature reviews. Genetics · 2022
    Review
  6. Review
  7. Evolutionary medical insights into the SARS-CoV-2 pandemic.Evolution, medicine, and public health · 2020
    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

4 authors.

Peter LenartDepartment of Pathological Physiology, Faculty of Medicine, Masaryk University, Kamenice 5, building A18, 625 00, Brno, Czech Republic. peter.lenart@mail.muni.cz.ORCID http://orcid.org/0000-0002-6811-0762
Daniela KuruczovaDepartment of Pathological Physiology, Faculty of Medicine, Masaryk University, Kamenice 5, building A18, 625 00, Brno, Czech Republic.ORCID http://orcid.org/0000-0002-6783-5251
Peter K JoshiCentre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, EH8 9AG, Edinburgh, UK.
Julie Bienertová-VaškůDepartment of Pathological Physiology, Faculty of Medicine, Masaryk University, Kamenice 5, building A18, 625 00, Brno, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Women on average live longer than men, which seems to suggest that women also age slower than men. However, the potential difference in the pace of aging between the sexes is a relatively controversial topic, and both positions, i.e. "men age faster" and "men and women age at the same pace", have found some support. We therefore employ parametric models previously established in model organisms as well as two nonparametric approaches to compare the pace of aging between the sexes using freely available mortality data from 13 high-income countries. Our results support the hypothesis that men age faster than women while also suggesting that the difference is small and that from a practical standpoint male mortality rates behave similarly to the mortality rates of women approximately eight years their senior.

Indexed as

MortalityAdultAgedAged, 80 and overAge FactorsAgingDatabases as TopicDeveloped CountriesFemaleHumansMaleMiddle AgedModels, StatisticalSex FactorsStatistics, Nonparametric

Identifiers

PMID31332232
PMCPMC6646351

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.