Evidence map›Paper›PMID 36717451›Full record

ArticleBiochemistry. Biokhimiia2022

Trends in Human Species-Specific Lifespan and Actuarial Aging Rate.

Leonid A Gavrilov, Natalia S Gavrilova

Abstract read
In one paragraph

Article in Biochemistry. Biokhimiia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Actuarial Aging Rates in Human Cohorts.Biochemistry. Biokhimiia · 2023
    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

2 authors.

Leonid A GavrilovAcademic Research Centers, NORC at the University of Chicago, 60637 Chicago, IL, USA. lagavril@yahoo.com.
Natalia S GavrilovaAcademic Research Centers, NORC at the University of Chicago, 60637 Chicago, IL, USA.

Funding

Biodemography of Old-Age MortalityR21AG054849 · NIA · NATIONAL OPINION RESEARCH CENTER · PI GAVRILOVA, NATALIA S · 2017 to 2018
$428k
NIA NIH HHS R21 AG054849
6 · The paper itself

Abstract

The compensation effect of mortality (CEM) was tested and species-specific lifespan was estimated using data on one-year age-specific death rates from the Human Mortality Database (HMD). CEM was confirmed using this source of the data and human species-specific lifespan estimates were obtained, which were similar to the estimates published before. Three models (Gompertz-Makeham, Gompertz-Makeham with mean-centered age, and Gompertz) produced similar estimates of the species-specific lifespan. These estimates demonstrated some increase over time. Attempts to measure aging rates through the Gompertz slope parameter led to the conclusion that actuarial aging rates were stable during most of the 20th century, but recently demonstrated an increase over time in the majority (74%) of studied populations. This recent phenomenon is most likely caused by more rapid historical decline of mortality at the younger adult age groups compared to the older age groups, thus making the age gradient in mortality steeper over time. There is no biomedical reason to believe that human aging rates accelerated recently, so that the actuarial aging rate is probably not a good measure of true aging rate (rate of functional loss). Therefore, better measures of aging rate need to be developed.

Indexed as

AgingLongevityMortalityAdultAgedHumansSpecies Specificityagingaging rateGompertz–Makeham modelmortalityspecies-specific lifespan

Identifiers

PMID36717451
PMCPMC11090257

What OpenQuestion holds

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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.