Evidence map›Paper›PMID 38172757›Full record

ArticleBMC geriatrics2024

Frailty predicts all-cause and cause-specific mortality among older adults in Austria: 8-year mortality follow-up of the Austrian Health Interview Survey (ATHIS 2014).

Erwin Stolz, Anna Schultz, Sandra Schüssler, Hannes Mayerl, Emiel O Hoogendijk, Wolfgang Freidl

Abstract read
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Therapeutic competitions and frailty among older adults in São Paulo city: a cross-sectional population-based study, 2015.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2025
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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

6 authors.

Erwin StolzInstitute of Social Medicine and Epidemiology, Medical University of Graz, Graz, Austria. erwin.stolz@medunigraz.at.ORCID 0000-0001-7393-1568
Anna SchultzInstitute of Social Medicine and Epidemiology, Medical University of Graz, Graz, Austria.ORCID 0009-0009-1950-8545
Sandra SchüsslerInstitute of Social Medicine and Epidemiology, Medical University of Graz, Graz, Austria.ORCID 0000-0002-5162-0766
Hannes MayerlInstitute of Social Medicine and Epidemiology, Medical University of Graz, Graz, Austria.ORCID 0000-0001-8708-8831
Emiel O HoogendijkDepartment of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC-Location VU University Medical Center, Amsterdam, the Netherlands.ORCID 0000-0001-9660-5108
Wolfgang FreidlInstitute of Social Medicine and Epidemiology, Medical University of Graz, Graz, Austria.ORCID 0000-0001-9525-5898

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe frailty index (FI) is an established predictor of all-cause mortality among older adults, but less is known with regard to cause-specific mortality, and whether the predictive power of the FI varies between men and women and by socio-economic position.

methodsWe assessed all-cause and cause-specific mortality during 8 years of follow-up (median = 7 years) among the population-representative sample of older adults (65 + , n = 2,561) from the European Health Interview Survey in Austria (ATHIS 2014). A FI at baseline was constructed from 41 health deficits. Official cause of death information from Statistics Austria was linked with the survey data by the Austrian Micro Data Center (AMDC). Next to all-cause mortality, we differentiated between mortality from cardiovascular diseases (CVD), cancer, and other causes. Cox proportional hazard models adjusted for socio-demographic variables and causes of death as competing risks were used to assess mortality prediction.

resultsAmong the participants, 43.5% were robust (FI < 0.10), 37.7% pre-frail (FI = 0.10-0.21), and 18.7% were frail (FI > 0.21). 405 (15.8%) participants died during follow-up. Among the deceased, 148 (36.5%) died from CVD, 127 (31.4%) died from cancer, and 130 (32.1%) died from other causes of death. The FI predicted all-cause (hazard ratio, HR = 1.33 per 0.1 FI and HR = 2.4 for frail compared to robust older adults) and cause-specific mortality risk (HR

conclusionsThe FI predicts all-cause and cause-specific mortality (CVD, other causes) well, which points to its relevance as a potential screening tool for risk stratification among community-dwelling older adults.

Indexed as

Cardiovascular DiseasesFrailtyNeoplasmsAgedAustriaCause of DeathFemaleFollow-Up StudiesFrail ElderlyGeriatric AssessmentHumansMaleAll-cause mortalityCancerCause-specific mortalityCVDFrailty index

Identifiers

PMID38172757
PMCPMC10765716

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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.