Evidence map›Paper›PMID 37786539›Full record

ArticleTherapeutic advances in medical oncology2023

External validation of the first prognostic nomogram for older adults with cancer.

Yu Ling Tay, Whee Sze Ong, Sherilyn Zi Hui Liew, Anupama Roy Chowdhury, Johan Chan, Mothi Babu Ramalingam, Tanujaa Rajasekaran, Tira J Tan, Lalit Krishna, Olive Lai and 3 more

Abstract read
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Article in Therapeutic advances in medical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Yu Ling TayDepartment of Geriatric Medicine, Singapore General Hospital, Singapore.
Whee Sze OngDivision of Clinical Trials and Epidemiological Sciences, National Cancer Centre Singapore, Singapore.ORCID https://orcid.org/0000-0002-3531-6182
Sherilyn Zi Hui LiewDivision of Medical Oncology, National Cancer Centre Singapore, Singapore.ORCID https://orcid.org/0000-0002-9013-9748
Anupama Roy ChowdhuryDepartment of Geriatric Medicine, Singapore General Hospital, Singapore.
Johan ChanDivision of Medical Oncology, National Cancer Centre Singapore, Singapore.
Mothi Babu RamalingamDepartment of Rehabilitation Medicine, Singapore General Hospital, Singapore.
Tanujaa RajasekaranDivision of Medical Oncology, National Cancer Centre Singapore, Singapore.
Tira J TanDivision of Medical Oncology, National Cancer Centre Singapore, Singapore.ORCID https://orcid.org/0000-0001-5329-7192
Lalit KrishnaDivision of Supportive and Palliative Care, National Cancer Centre Singapore, Singapore.
Olive LaiDepartment of Pharmacy, National Cancer Centre Singapore, Singapore.
Agnes Lai Yin ChowDivision of Medical Oncology - Research, National Cancer Centre Singapore, Singapore.
Simon ChenDepartment of Nursing, National Cancer Centre Singapore, Singapore.
Ravindran KanesvaranDivision of Medical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, Singapore 169610.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The geriatric oncology population tends to be complex because of multimorbidity, functional and cognitive decline, malnutrition and social frailty. Prognostic indices for predicting survival of elderly cancer patients to guide treatment remain scarce. A nomogram based on all domains of the geriatric assessment was previously developed at the National Cancer Centre Singapore (NCCS) to predict overall survival (OS) in elderly cancer patients. This nomogram comprised of six variables (age, eastern cooperative oncology group performance status, disease stage, geriatric depression scale (GDS), DETERMINE nutritional index and serum albumin). Objectives: To externally validate the NCCS prognostic nomogram. Design: This is a prospective cohort study. Methods: The nomogram was developed based on a training cohort of 249 patients aged ⩾70 years who attended the NCCS outpatient geriatric oncology clinic between May 2007 and November 2010. External validation of the nomogram using the Royston and Altman approach was carried out on an independent testing cohort of 252 patients from the same clinic between July 2015 and June 2017. Model misspecification, discrimination and calibration were assessed. Results: Median OS of the testing cohort was 3.1 years, which was significantly higher than the corresponding 1.0 year for the training cohort (log-rank Conclusion: This study externally validated the prognostic nomogram in an independent cohort of geriatric oncology patients. This supports the use of this nomogram in clinical practice.

Indexed as

external validationgeriatricnomogramoncologyprognosis

Identifiers

PMID37786539
PMCPMC10541742

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