Evidence map›Paper›PMID 33244575›Full record

ArticleThe journal of nutrition, health & aging2020

Can We Distinguish Age-Related Frailty from Frailty Related to Diseases ? Data from the MAPT Study.

D Angioni, T Macaron, C Takeda, S Sourdet, M Cesari, K Virecoulon Giudici, J Raffin, W H Lu, J Delrieu, J Touchon and 3 more

Open access · hybridAbstract read
In one paragraph

Article in The journal of nutrition, health & aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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

22 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Does the incidence of frailty differ between men and women over time?Archives of gerontology and geriatrics · 2023
    Article
  12. The role of frailty in advanced HF and cardiac transplantation.Frontiers in cardiovascular medicine · 2023
    Review
  13. Article
  14. Article
  15. Article
  16. Physiological Systems in Promoting Frailty.Comprehensive Physiology · 2022
    Review
  17. Article
  18. Article
  19. Frailty and Associated Factors among Chinese Centenarians.The journal of nutrition, health & aging · 2022
    Article
  20. 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

13 authors at 5 institutions in 2 countries.

D AngioniDavide Angioni, Gerontopole of Toulouse, 37 A Jules Guesde, 31000 Toulouse, davideangioni2@gmail.com.
T Macaron
C Takeda
S Sourdet
M Cesari
K Virecoulon Giudici
J Raffin
W H Lu
J Delrieu
J Touchon
Y Rolland
P de Souto Barreto
B Vellas
Hôpital de La Grave · FRInstitut de Mathématiques de Toulouse · FRUniversité Fédérale de Toulouse Midi-Pyrénées · FRCentre Hospitalier Universitaire de Montpellier · FRUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNo study has tried to distinguish subjects that become frail due to diseases (frailty related to diseases) or in the absence of specific medical events; in this latter case, it is possible that aging process would act as the main frailty driver (age-related frailty).

objectivesTo classify subjects according to the origin of physical frailty: age-related frailty, frailty related to diseases, frailty of uncertain origin, and to compare their clinical characteristics. MATERIALS AND

methodsWe performed a secondary analysis of the Multidomain Alzheimer Preventive Trial (MAPT), including 195 subjects ≥70 years non-frail at baseline who became frail during a 5-year follow-up (mean age 77.8 years ± 4.7; 70% female). Physical frailty was defined as presenting ≥3 of the 5 Fried criteria: weight loss, exhaustion, weakness, slowness, low physical activity. Clinical files were independently reviewed by two different clinicians using a standardized assessment method in order to classify subjects as: "age-related frailty", "frailty related to diseases" or "frailty of uncertain origin". Inconsistencies among the two raters and cases of uncertain frailty were further assessed by two other experienced clinicians.

resultsFrom the 195 included subjects, 82 (42%) were classified as age-related frailty, 53 (27%) as frailty related to diseases, and 60 (31%) as frailty of uncertain origin. Patients who became frail due to diseases did not differ from the others groups in terms of functional, cognitive, psychological status and age at baseline, however they presented a higher burden of comorbidity as measured by the Cumulative Illness Rating Scale (CIRS) (8.20 ± 2.69; vs 6.22 ± 2.02 frailty of uncertain origin; vs. 3.25 ± 1.65 age-related frailty). Time to incident frailty (23.4 months ± 12.1 vs. 39.2 ± 19.3 months) and time spent in a pre-frailty condition (17.1 ± 11.4 vs 26.6 ± 16.6 months) were shorter in the group of frailty related to diseases compared to age-related frailty. Orthopedic diseases (n=14, 26%) were the most common pathologies leading to frailty related to diseases, followed by cardiovascular diseases (n=9, 17%) and neurological diseases (n = 8, 15%).

conclusionPeople classified as age-related frailty and frailty related to diseases presented different frailty-associated indicators. Future research should target the underlying biological cascades leading to these two frailty classifications, since they could ask for distinct strategies of prevention and management.

Indexed as

AgedAged, 80 and overComorbidityFemaleFrail ElderlyFrailtyGeriatric AssessmentHumansMaleage-related frailtyFrailty originfrailty related to diseasesgeroscience

Identifiers

PMID33244575
PMCPMC12876769
OpenAlexW3095582005

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.