Evidence map›Paper›PMID 31765266›Full record

ArticleJCO oncology practice2020

Integrating Touchscreen-Based Geriatric Assessment and Frailty Screening for Adults With Multiple Myeloma to Drive Personalized Treatment Decisions.

Nitya Nathwani, Sandra E Kurtin, Brea Lipe, Supriya Gupta Mohile, Donna D Catamero, Debra Wujcik, Kristy Birchard, Agnes Davis, William Dudley, Carrie Tompkins Stricker and 1 more

Abstract readMulticenter Study
In one paragraph

Article in JCO oncology practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Observational
  6. Advances in Management for Older Adults With Hematologic Malignancies.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2021
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. 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

11 authors.

Nitya NathwaniJudy and Bernard Briskin Center for Multiple Myeloma Research, City of Hope National Medical Center, Duarte, CA.
Sandra E KurtinThe University of Arizona Cancer Center, Tucson, AZ.
Brea LipeUniversity of Rochester, Rochester, NY.
Supriya Gupta MohileUniversity of Rochester, Rochester, NY.
Donna D CatameroThe Mount Sinai Medical Center, New York, NY.
Debra WujcikCarevive Systems, Miami, FL.
Kristy BirchardCarevive Systems, Miami, FL.
Agnes DavisCarevive Systems, Miami, FL.
William DudleyPiedmont Research Solutions, Greenville, NC.
Carrie Tompkins StrickerCarevive Systems, Miami, FL.
Tanya Marya WildesWashington University School of Medicine, St Louis, MO.

Funding

URCC NCORP Research BaseUG1CA189961 · NCI · UNIVERSITY OF ROCHESTER · PI Michelle C Janelsins, KAREN M. MUSTIAN · 2014 to 2026
$67.7M
NCI NIH HHS UG1 CA189961
6 · The paper itself

Abstract

purposeGeriatric assessment (GA) results predict toxicity/survival in older adults, yet GA is not routinely used in care for patients with multiple myeloma (MM). We tested a tablet-based modified GA (mGA) providing real-time results to clinicians.

methodsOne hundred sixty-five patients with MM aged ≥ 65 years facing a treatment decision from 4 sites completed a tablet-based mGA with Katz Activities of Daily Living (ADL), Lawton Instrumental ADL, Charlson Comorbidity Index, and variables from the Cancer and Aging Research Group's Chemotherapy Toxicity Calculator. Providers reviewed the assessment results at the treatment visit.

resultsPatients were white (72%; n = 86), mean age was 72 years (range, 65-85 years), and averaged 7.71 minutes (range, 2-17 minutes) for survey completion. Providers averaged 3.2 minutes (range, 1-10 minutes) to review mGA results. Using International Myeloma Working Group frailty score, patients were fit (39%; n = 64), intermediate fit (33%; n = 55), or frail (28%; n = 46). Providers selected more aggressive treatments in 16.3% of patients and decreased treatment intensity in 34% of patients; treatment intensification was more common for fit patients and milder treatments for frail patients (χ

conclusionLimited patient time required for survey completion and provider time for results review show mGA can be easily incorporated into clinical workflow. Real-time mGA results indicating fit/frailty status influenced treatment decisions.

Indexed as

AgedAged, 80 and overFemaleFrail ElderlyGeriatric AssessmentHumansMaleMass ScreeningMultiple MyelomaPilot ProjectsPrecision MedicineProspective Studies

Identifiers

PMID31765266
PMCPMC12444730

What OpenQuestion holds

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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.