Evidence map›Paper›PMID 40865024›Full record

ArticleJCO global oncology2025

Geriatric Assessment: ASCO Global Guideline.

Cristiane Decat Bergerot, Sarah Temin, Haydee C Verduzco-Aguirre, Matti S Aapro, Shabbir M H Alibhai, Zeba Aziz, María de la Concepción Pérez de Celis Herrero, Trinanjan Basu, Martine Extermann, Ravindran Kanesvaran and 7 more

Abstract read
In one paragraph

Article in JCO global oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
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  4. Exploring the understanding and management of anxiety from cancer in Latino/a older adults and their caregivers.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  9. Review
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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.

Cristiane Decat BergerotOncoclinicas&Co - Medica Scientia Innovation Research (MEDSIR), Brasilia, Brazil.ORCID 0000-0003-0037-0303
Sarah TeminAmerican Society of Clinical Oncology (ASCO), Alexandria, VA.ORCID 0000-0002-1834-0551
Haydee C Verduzco-AguirreInstituto Nacional de Ciencias Médicas y Nutrición, Mexico City, Mexico.ORCID 0000-0002-2300-7075
Matti S AaproGenolier Cancer Center, Genolier, Switzerland.
Shabbir M H AlibhaiPrincess Margaret Cancer Centre, Toronto, ON, Canada.ORCID 0000-0001-7815-6046
Zeba AzizHameed Latif Hospital, Lahore, Pakistan.ORCID 0000-0001-5032-4503
María de la Concepción Pérez de Celis HerreroBenemérita Universidad Autónoma de Puebla, Puebla, Mexico.ORCID 0000-0003-2302-2774
Trinanjan BasuHCG Cancer Centre, Mumbai, India.ORCID 0000-0001-5412-6918
Martine ExtermannH. Lee Moffitt Cancer Center and Research Institute, Tampa, FL.ORCID 0000-0003-4381-1199
Ravindran KanesvaranDivision of Medical Oncology, National Cancer Centre, Singapore, Singapore.ORCID 0000-0002-2351-881X
Bogda KoczwaraDepartment of Medical Oncology Flinders Medical Centre and Flinders University, Adelaide, SA, Australia.ORCID 0000-0002-1201-1642
Kah Poh LohUniversity of Rochester Medical Center-Wilmot Cancer Institute, Rochester, NY.ORCID 0000-0002-6978-0418
Elene MariamidzeTodua Clinic, Tbilisi, Georgia.ORCID 0000-0001-8838-9193
Alex Baleka MutomboKinshasa University Hospital, Kinshasa, Democratic Republic of Congo.ORCID 0000-0002-6948-5013
Vanita NoronhaTATA Memorial Hospital, Mumbai, India.ORCID 0000-0002-0191-2744
Grant R WilliamsUniversity of Alabama at Birmingham, Birmingham, AL.ORCID 0000-0003-4294-5232
Enrique Soto-Perez-de-CelisUniversity of Colorado Anschutz Medical Campus Aurora, CO.ORCID 0000-0002-7301-2163

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

purposeTo guide clinicians and policymakers in global resource-constrained settings to assess the geriatric needs of patients older than 65 years with cancer when Maximal-setting guideline-recommended resources are unavailable.

methodsA multidisciplinary, multinational Expert Panel reviewed existing ASCO guidelines and conducted modified ADAPTE and formal consensus processes.

resultsAn ASCO resource-neutral guideline was adapted for resource-constrained settings, informing one round of formal consensus; recommendations received ≥75% agreement. RECOMMENDATIONS: The Expert Panel endorses the Maximal-setting guideline's overarching recommendation that end users utilize geriatric assessment (GA), including essential domains, to identify "vulnerabilities or impairments not routinely captured in oncology assessment for all older patients over 65 years old with cancer." All care plans for patients with cancer over 65 years old receiving systemic therapy with GA-identified deficits should include GA-guided management. A geriatric evaluation should at a minimum include the use of a brief geriatric screening tool. Tools in the Practical Geriatric Assessment (PGA) are validated in multiple languages, but users may use more appropriate tools in some settings and languages, if they include the relevant guideline-specified domains. Maximal-resource settings of high-income countries have traditionally developed cutoffs for GA-identified deficits, but locally validated research and practice may inform differing cutoffs. If validated all-cause mortality prognosis tools do not adequately represent the setting, clinicians may use actuarial life-expectancy tables with quartiles of overall health status.

Indexed as

Geriatric AssessmentNeoplasmsAgedAged, 80 and overHumansMedical OncologyPractice Guidelines as Topic

Identifiers

PMID40865024
PMCPMC13039670

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.