Evidence map›Paper›PMID 29705872›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2018

Factors associated with falls in older adults with cancer: a validated model from the Cancer and Aging Research Group.

Tanya M Wildes, Ronald J Maggiore, William P Tew, David Smith, Can-Lan Sun, Harvey Cohen, Supriya G Mohile, Ajeet Gajra, Heidi D Klepin, Cynthia Owusu and 7 more

Abstract read
In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. Falls in older adults with cancer: an updated systematic review of prevalence, injurious falls, and impact on cancer treatment.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Pooled it
  4. Trial
  5. Trial
  6. Review
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Review
  12. Polypharmacy, chemotherapy receipt, and medication-related out-of-pocket costs at end of life among commercially insured adults with advanced cancer.Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners · 2022
    Article
  13. Development of the Exercise in Cancer Evaluation and Decision Support (EXCEEDS) algorithm.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Review
  14. Article
  15. Article
  16. Review
  17. A Practical Guide to Geriatric Syndromes in Older Adults With Cancer: A Focus on Falls, Cognition, Polypharmacy, and Depression.American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting · 2019
    Review
  18. Review
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

17 authors.

Tanya M WildesDivision of Medical Oncology, Washington University School of Medicine, 660 South Euclid Ave, Campus Box 8056, St Louis, MO, 63110, USA. twildes@dom.wustl.edu.
Ronald J MaggioreUniversity of Rochester Medical Center, Rochester, NY, USA.
William P TewMemorial Sloan Kettering Cancer Center, New York, NY, USA.
David SmithCity of Hope, Duarte, CA, USA.
Can-Lan SunCity of Hope, Duarte, CA, USA.
Harvey CohenDuke University, Raleigh, Durham, NC, USA.
Supriya G MohileUniversity of Rochester Medical Center, Rochester, NY, USA.
Ajeet GajraUpstate University Hospital, Syracuse, NY, USA.
Heidi D KlepinWake Forest University, Wake Forest, NC, USA.
Cynthia OwusuCase Western Reserve University School of Medicine, Cleveland, OH, USA.
Cary P GrossYale University, New Haven, CT, USA.
Hyman MussLineberger Cancer Center, University of North Carolina, Chapel Hill, NC, USA.
Andrew ChapmanThomas Jefferson University, Philadelphia, PA, USA.
Stuart M LichtmanMemorial Sloan Kettering Cancer Center, New York, NY, USA.
Vani KatheriaCity of Hope, Duarte, CA, USA.
Arti HurriaCity of Hope, Duarte, CA, USA.
Cancer and Aging Research Group

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI John Charles Williams · 1985 to 2026
$86.3M
URCC NCORP Research BaseUG1CA189961 · NCI · UNIVERSITY OF ROCHESTER · PI Michelle C Janelsins, KAREN M. MUSTIAN · 2014 to 2026
$67.7M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Washington University Paul Calabresi K12 Career Development Award for Clinical OncologyK12CA167540 · NCI · WASHINGTON UNIVERSITY · PI John F. Dipersio, Ramaswamy Govindan · 2012 to 2026
$11.7M
A Patient-Oriented Research Program in Geriatric OncologyK24AG056589 · NIA · UNIVERSITY OF ROCHESTER · PI Supriya G. Mohile · 2018 to 2026
$1.5M
Mentoring the Next Generation of Geriatric Oncology Researchers in Patient-Oriented Research to Improve the Care of Older Adults with CancerK24AG055693 · NIA · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI WILLIAM DALE · 2018 to 2026
$1.4M
Can Geriatric Assessment Predict Oncology Outcomes?K23AG026749 · NIA · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI HURRIA, ARTI · 2005 to 2009
$874k
Geriatric Oncology Research Infrastructure to Improve Clinical CareR21AG059206 · NIA · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI DALE, WILLIAM, MOHILE, SUPRIYA G. · 2018 to 2019
$478k
National Institute of Aging K23-AG026749-01NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002345NCI NIH HHS 1K12CA167540NCI NIH HHS K12 CA167540NCI NIH HHS L30 CA171128NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA033572NCI NIH HHS UG1 CA189961NIA NIH HHS K23 AG026749NIA NIH HHS K24 AG055693NIA NIH HHS K24 AG056589NIA NIH HHS R21 AG059206
6 · The paper itself

Abstract

backgroundFalls in older adults with cancer are common, yet factors associated with fall-risk are not well-defined and may differ from the general geriatric population. This study aims to develop and validate a model of factors associated with prior falls among older adults with cancer.

methodsIn this cross-sectional secondary analysis, two cohorts of patients aged ≥ 65 with cancer were examined to develop and validate a model of factors associated with falls in the prior 6 months. Potential independent variables, including demographic and laboratory data and a geriatric assessment (encompassing comorbidities, functional status, physical performance, medications, and psychosocial status), were identified. A multivariate model was developed in the derivation cohort using an exhaustive modeling approach. The model selected for validation offered a low Akaike Information Criteria value and included dichotomized variables for ease of clinical use. This model was then applied in the validation cohort.

resultsThe development cohort (N = 498) had a mean age of 73 (range 65-91). Nearly one-fifth (18.2%) reported a fall in the prior 6 months. The selected model comprised nine variables involving functional status, objective physical performance, depression, medications, and renal function. The AUC of the model was 0.72 (95% confidence intervals 0.65-0.78). In the validation cohort (N = 250), the prevalence of prior falls was 23.6%. The AUC of the model in the validation cohort was 0.62 (95% confidence intervals 0.51-0.71).

conclusionIn this study, we developed and validated a model of factors associated with prior falls in older adults with cancer. Future study is needed to examine the utility of such a model in prospectively predicting incident falls.

Indexed as

AgingAccidental FallsAgedAged, 80 and overAge FactorsCohort StudiesComorbidityCross-Sectional StudiesFemaleGeriatric AssessmentHumansMaleModels, TheoreticalNeoplasmsPrevalenceRisk FactorsAccidental fallsActivities of daily livingGeriatric assessmentNeoplasmsPolypharmacy

Identifiers

PMID29705872
PMCPMC6117216

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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.