Evidence map›Paper›PMID 23707929›Full record

ArticleExperimental gerontology2013

Recovery and survival from aging-associated diseases.

Igor Akushevich, Julia Kravchenko, Svetlana Ukraintseva, Konstantin Arbeev, Anatoliy I Yashin

Abstract read
In one paragraph

Article in Experimental gerontology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

5 authors.

Igor AkushevichCenter for Population Health and Aging, Duke University, Durham, NC 27708, United States. igor.akushevich@duke.edu
Julia Kravchenko
Svetlana Ukraintseva
Konstantin Arbeev
Anatoliy I Yashin

Funding

DYNAMIC DETERMINANTS OF EXCEPTIONAL HEALTH AT LATE AGESR01AG027019 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2006 to 2009
$1.4M
Healthy Life at Risk: The Role of SenescenceR01AG028259 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2005 to 2009
$1.2M
The future of major geriatric disorders in the US elderlyR01AG032319 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2008 to 2012
$1.1M
NIA NIH HHS R01 AG027019NIA NIH HHS R01AG027019NIA NIH HHS R01 AG028259NIA NIH HHS R01AG028259NIA NIH HHS R01 AG032319NIA NIH HHS R01AG032319
6 · The paper itself

Abstract

objectivesConsidering disease incidence to be a main contributor to healthy lifespan of the US elderly population may lead to erroneous conclusions when recovery/long-term remission factors are underestimated. Using two Medicare-based population datasets, we investigated the properties of recovery from eleven age-related diseases.

methodsCohorts of patients who stopped visiting doctors during a five-year follow-up since disease onset were analyzed non-parametrically and using the Cox proportional hazard model resulted in estimated recovery and survival rates and evaluated the health state of recovered individuals by comparing their survival with non-recovered patients and the general population.

resultsRecovered individuals had lower death rates than non-recovered patients, therefore, patients who stopped visiting doctors are a healthier subcohort. However, they had higher death rates than in general population for all considered diseases, therefore the complete recovery does not occur.

conclusionProperties of recovery/long-term remission among the US population of older adults with chronic diseases were uncovered and evaluated. The results allow for a better quantifiable contribution of age-related diseases to healthy life expectancy and improving forecasts of health and mortality.

Indexed as

Recovery of FunctionAgedAged, 80 and overAge FactorsCohort StudiesCoronary DiseaseFemaleFollow-Up StudiesHumansKaplan-Meier EstimateLongitudinal StudiesMaleMedicareMortalityNeoplasmsProportional Hazards ModelsChronic disease onsetLong-term remissionMedicarePopulation-based analysisRecovery

Identifiers

PMID23707929
PMCPMC3723111

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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.