Evidence map›Paper›PMID 28242579›Full record

ArticleArchives of gerontology and geriatrics2017

Comparison of two frailty indices in the physicians' health study.

Ariela R Orkaby, Tammy T Hshieh, John M Gaziano, Luc Djousse, Jane A Driver

Abstract readComparative Study
In one paragraph

Article in Archives of gerontology and geriatrics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Trial
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  4. Association Between Long-Term Aspirin Use and Frailty in Men: The Physicians' Health Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021
    Trial
  5. Trial
  6. Article
  7. Article
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  9. Article
  10. Article
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  12. Influence of Long-term Nonaspirin NSAID Use on Risk of Frailty in Men ≥60 Years: The Physicians' Health Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
  13. Article
  14. Updating and Validating the U.S. Veterans Affairs Frailty Index: Transitioning From ICD-9 to ICD-10.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021
    Article
  15. The Burden of Frailty Among U.S. Veterans and Its Association With Mortality, 2002-2012.The journals of gerontology. Series A, Biological sciences and medical sciences · 2019
    Article
  16. Cross-Sectional Association of Frailty and Arterial Stiffness in Community-Dwelling Older Adults: The Framingham Heart Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2019
    Article
  17. Observational
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.

Ariela R OrkabyDivision of Aging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; VA Boston Healthcare System, Geriatric Research, Education, and Clinical Center (GRECC), Massachusetts Veterans Epidemiology and Research Information Center (MAVERIC), Boston, MA, USA. Electronic address: aorkaby@partners.org.
Tammy T HshiehDivision of Aging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
John M GazianoDivision of Aging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; VA Boston Healthcare System, Geriatric Research, Education, and Clinical Center (GRECC), Massachusetts Veterans Epidemiology and Research Information Center (MAVERIC), Boston, MA, USA.
Luc DjousseDivision of Aging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; VA Boston Healthcare System, Geriatric Research, Education, and Clinical Center (GRECC), Massachusetts Veterans Epidemiology and Research Information Center (MAVERIC), Boston, MA, USA.
Jane A DriverDivision of Aging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; VA Boston Healthcare System, Geriatric Research, Education, and Clinical Center (GRECC), Massachusetts Veterans Epidemiology and Research Information Center (MAVERIC), Boston, MA, USA.

Funding

Physicians' Health Study II: Prevention Trial of VitaminsR01CA097193 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI GAZIANO, J. MICHAEL · 2002 to 2011
$15.7M
TRAINING PROGRAM IN EPIDEMIOLOGIC RESEARCH ON AGINGT32AG000158 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI GAZIANO, J. MICHAEL · 1988 to 2015
$2.1M
RANDOMIZED TRIAL OF ASPIRIN AND MORTALITYR01CA040360 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI BURING, JULIE E · 1985 to 2002
$775k
Investigating the link between cancer and neurodegenerative diseaseI01CX000934 · VA · VA BOSTON HEALTH CARE SYSTEM · PI DRIVER, JANE A · 2014 to 2017
–
TRIAL OF ASPIRIN AND BETA-CAROTENE IN U S MD'SR01HL034595 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI BURING, JULIE E · 1985 to 1991
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CSRD VA I01 CX000934NCI NIH HHS R01 CA034944NCI NIH HHS R01 CA040360NCI NIH HHS R01 CA097193NHLBI NIH HHS R01 HL026490NHLBI NIH HHS R01 HL034595NIA NIH HHS T32 AG000158
6 · The paper itself

Abstract

backgroundAs the population ages it is important to identify frailty, a powerful predictor of morbidity and mortality, and often an important unmeasured confounder. We sought to develop a frailty index in the Physician's Health Study (PHS) and estimate the association with mortality.

methodsProspective cohort study. Annual questionnaire assessed mood, function and health status. Two frailty scores were compared - cumulative deficit frailty index (PHS FI) and modified Study of Osteoporotic Fracture (mSOF) frailty score. Endpoints committee confirmed mortality.

results12,180 male physicians ≥60 years were analyzed. Mean(SD) follow-up was 10(3) years, 2168 deaths occurred. PHS FI identified 4412 (36%) physicians robust, 5305 (44%) pre-frail, and 2463 (20%) frail, while mSOF identified 7323 (61%) robust, 3505 (29%) pre-frail and 1215 (10%) frail. Age-standardized rate of death was lower among subjects identified as robust using the PHS FI, 11/1000 person-years (PY) (95% Confidence Interval (CI): 9.5-11.9) compared to 14/1000PY (95% CI: 13.5-15.4) using mSOF [P-difference <0.001]. In the prefrail group, death rates were 16/1000PY in PHS FI and 21/1000PY in mSOF, [P-difference <0.001]. There was no difference in age-adjusted mortality rates in the frail group according to each definition (35 vs 33/1000PY). Survival analysis showed an increased risk of mortality in each frailty category using either definition, (log-rank p<0.001).

conclusionThe PHS FI outperformed mSOF in identifying risk of death particularly in robust and pre-frail categories. Similar indices can be created in existing datasets to identify frail individuals and where appropriate account for frailty, an often unmeasured confounder.

Indexed as

FrailtyAgedAged, 80 and overHealth StatusHumansMaleMiddle AgedOsteoporotic FracturesProportional Hazards ModelsProspective StudiesFrailtyFrailty IndexMortality

Identifiers

PMID28242579
PMCPMC5618108

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Registered trials

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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.