Evidence map›Paper›PMID 32343260›Full record

ArticleAging2020

Using a genetic algorithm to derive a highly predictive and context-specific frailty index.

Alberto Zucchelli, Alessandra Marengoni, Debora Rizzuto, Amaia Calderón-Larrañaga, Maurizio Zucchelli, Roberto Bernabei, Graziano Onder, Laura Fratiglioni, Davide Liborio Vetrano

Abstract readMulticenter Study
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Living Longer But Frailer? Temporal Trends in Life Expectancy and Frailty in Older Swedish Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
  4. Article
  5. Article
  6. Beyond Chronological Age: A Multidimensional Approach to Survival Prediction in Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023
    Article
  7. Detection of the Frail Elderly at Risk of Postoperative Sepsis.International journal of environmental research and public health · 2022
    Article
  8. 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

9 authors.

Alberto ZucchelliAging Research Center, Department of Neurobiology, Care sciences and Society, Karolinska Institutet, Stockholm 17165, Sweden.
Alessandra MarengoniAging Research Center, Department of Neurobiology, Care sciences and Society, Karolinska Institutet, Stockholm 17165, Sweden.
Debora RizzutoAging Research Center, Department of Neurobiology, Care sciences and Society, Karolinska Institutet, Stockholm 17165, Sweden.
Amaia Calderón-LarrañagaAging Research Center, Department of Neurobiology, Care sciences and Society, Karolinska Institutet, Stockholm 17165, Sweden.
Maurizio ZucchelliKandou Bus SA, Lausanne 1015, Switzerland.
Roberto BernabeiDepartment of Geriatrics, Fondazione Policlinico "A. Gemelli" IRCCS and Catholic University of Rome, Rome 00168, Italy.
Graziano OnderDepartment of Cardiovascular, Endocrine-metabolic Diseases and Aging, Istituto Superiore di Sanità, Rome 00161, Italy.
Laura FratiglioniAging Research Center, Department of Neurobiology, Care sciences and Society, Karolinska Institutet, Stockholm 17165, Sweden.
Davide Liborio VetranoAging Research Center, Department of Neurobiology, Care sciences and Society, Karolinska Institutet, Stockholm 17165, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The frailty index (FI) is one of the most widespread tools used to predict poor, health-related outcomes in older persons. The selection of clinical and functional deficits to include in a FI is mostly based on the users' clinical experience. However, this approach may not be sufficiently accurate to predict health outcomes in particular subgroups of individuals. In this study, we implemented an optimization algorithm, the

Indexed as

AgingAlgorithmsAgedAged, 80 and overFemaleFrail ElderlyFrailtyGeriatric AssessmentHumansIncidenceMaleSwedenfrailtyfrailty indexgenetic algorithmgeriatric

Identifiers

PMID32343260
PMCPMC7202492

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.