Evidence map›Paper›PMID 40930142›Full record

ArticleJournal of the National Comprehensive Cancer Network : JNCCN2025

Potentially Inappropriate Medications, Frailty, and Outcomes in Patients With Cancer Managed in a National Health Care System.

Jennifer La, Tammy Hshieh, Anahid Hamparsumian, Robert Zwolinski, Jameson Wood, Mayuri Dharne, J Michael Gaziano, Mary T Brophy, Nhan V Do, Nikhil C Munshi and 4 more

Abstract read
In one paragraph

Article in Journal of the National Comprehensive Cancer Network : JNCCN, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

14 authors.

Jennifer La1Harvard Medical School, Boston, MA.
Tammy Hshieh1Harvard Medical School, Boston, MA.
Anahid Hamparsumian6Duke University, Durham Health System, Durham, NC.
Robert Zwolinski2VA Boston Cooperative Studies Program Center, MAVERIC, Boston, MA.
Jameson Wood7VA Boston Healthcare System, Boston, MA.
Mayuri Dharne2VA Boston Cooperative Studies Program Center, MAVERIC, Boston, MA.
J Michael Gaziano1Harvard Medical School, Boston, MA.
Mary T Brophy2VA Boston Cooperative Studies Program Center, MAVERIC, Boston, MA.
Nhan V Do2VA Boston Cooperative Studies Program Center, MAVERIC, Boston, MA.
Nikhil C Munshi1Harvard Medical School, Boston, MA.
Jane A Driver1Harvard Medical School, Boston, MA.
Gregory A Abel1Harvard Medical School, Boston, MA.
Nathanael R Fillmore1Harvard Medical School, Boston, MA.
Clark DuMontier1Harvard Medical School, Boston, MA.

Funding

BLRD VA I01 BX001584CSRD VA IK2 CX002218
6 · The paper itself

Abstract

backgroundPrevious studies have operationalized the NCCN list of high-risk medications in older adults into a measurable tool known as the Geriatric Oncology Potentially Inappropriate Medications (GO-PIMs) scale. The current study aims to evaluate the ability of GO-PIMs to identify high-risk medications and their impact on patients with both solid and liquid tumors managed in a large national health care system.

methodsWe performed a retrospective cohort study using data from the national Veterans Affairs (VA) Cancer Registry and electronic health records, including all veterans newly diagnosed with a solid or liquid malignancy from 2000 to 2022. The number of GO-PIMs for each patient was determined from outpatient pharmacy prescriptions filled in the 90 days preceding the initial cancer diagnosis (the index date). We assessed the association of PIMs with baseline frailty-measured using the electronic Veterans Affairs Frailty Index (VA-FI) and categorized as nonfrail (≤0.2), mildly frail (>0.2-0.3), or moderate-to-severely frail (>0.3)-and with unplanned hospitalization and mortality during follow-up, using multivariable models adjusted for age, gender, cancer type and stage, Charlson comorbidity index score, and socioeconomic factors.

resultsAmong 388,113 patients with newly diagnosed cancer (median age, 69.3 years [IQR, 62.8-76.7]; most common cancer types: prostate [21.5%], lung [23.7%], and gastrointestinal [20.5%]), GO-PIMs were prevalent, with 38% patients receiving ≥1 GO-PIM. Each additional GO-PIM was associated with a 66% increase in the odds of being mildly or moderate-to-severely frail at diagnosis, after adjusting for all covariates (ordinal regression adjusted odds ratio, 1.66; 95% CI, 1.65-1.67). Each additional GO-PIM was also associated with a higher hazard of unplanned hospitalization (Cox regression adjusted hazard ratio [aHR], 1.08; 95% CI, 1.07-1.08) and death (Cox regression aHR, 1.07; 95% CI, 1.06-1.07), after adjusting for frailty and all covariates.

conclusionsAn increasing number of PIMs, as identified by the GO-PIMs scale, was independently associated with greater risk of frailty at diagnosis, unplanned hospitalization during follow-up, and mortality among patients treated within a large national health care system.

Indexed as

FrailtyNeoplasmsPotentially Inappropriate Medication ListAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective StudiesUnited StatesUnited States Department of Veterans Affairs

Identifiers

PMID40930142
PMCPMC12742238

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