Evidence map›Paper›PMID 28176929›Full record

ArticleClinical interventions in aging2017

Onset of mortality increase with age and age trajectories of mortality from all diseases in the four Nordic countries.

Josef Dolejs, Petra Marešová

Registry-linked trialAbstract read
In one paragraph

Article in Clinical interventions in aging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03930160 (Logistic Organ Dysfunction System Role in Predicting 30-day Mortality Outcome in Intensive Care Unit of dr. Cipto Mangunkusumo General Hospital Patients), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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.

NCT03930160 completednot on this mapstarted 2018, after this paper: background citation

Logistic Organ Dysfunction System Role in Predicting 30-day Mortality Outcome in Intensive Care Unit of dr. Cipto Mangunkusumo General Hospital Patients

TypeobservationalSponsorIndonesia UniversityRan2018 to 2018Enrolled439ConditionsMortalityArmsLogistic Organ Dysfunction System Score
3 · Its place in the literature

Who cites it

12 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

2 authors.

Josef DolejsDepartment of Informatics and Quantitative Methods.
Petra MarešováDepartment of Economics, Faculty of Informatics and Management, University of Hradec Králové, Hradec Králové, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe answer to the question "At what age does aging begin?" is tightly related to the question "Where is the onset of mortality increase with age?" Age affects mortality rates from all diseases differently than it affects mortality rates from nonbiological causes. Mortality increase with age in adult populations has been modeled by many authors, and little attention has been given to mortality decrease with age after birth. MATERIALS AND

methodsNonbiological causes are excluded, and the category "all diseases" is studied. It is analyzed in Denmark, Finland, Norway, and Sweden during the period 1994-2011, and all possible models are screened. Age trajectories of mortality are analyzed separately: before the age category where mortality reaches its minimal value and after the age category.

resultsResulting age trajectories from all diseases showed a strong minimum, which was hidden in total mortality. The inverse proportion between mortality and age fitted in 54 of 58 cases before mortality minimum. The Gompertz model with two parameters fitted as mortality increased with age in 17 of 58 cases after mortality minimum, and the Gompertz model with a small positive quadratic term fitted data in the remaining 41 cases. The mean age where mortality reached minimal value was 8 (95% confidence interval 7.05-8.95) years. The figures depict an age where the human population has a minimal risk of death from biological causes.

conclusionInverse proportion and the Gompertz model fitted data on both sides of the mortality minimum, and three parameters determined the shape of the age-mortality trajectory. Life expectancy should be determined by the two standard Gompertz parameters and also by the single parameter in the model c/x. All-disease mortality represents an alternative tool to study the impact of age. All results are based on published data.

Indexed as

AgedAged, 80 and overAgingHumansLife ExpectancyMaleMiddle AgedModels, StatisticalMortalityScandinavian and Nordic Countriesageall diseasesexternal causesmortalityNordic countries

Identifiers

PMID28176929
PMCPMC5268335

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Registered trials

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.