Evidence map›Paper›PMID 42588695›Full record

ReviewCancers2026

Predictive Accuracy of Chemotherapy Toxicity Tools in Older Adults with Cancer: A Systematic Review and Diagnostic Test Accuracy Meta-Analysis.

Edwin Aguirre-Milachay, Mario J Valladares-Garrido, Nallely V Chapoñan-Agip, Nelson Luis Cahuapaza-Gutierrez, Betzy C Torres-Zegarra, Milagros Diaz-Torres, Darwin A León-Figueroa, Fernando M Runzer-Colmenares

Abstract readReview
In one paragraph

Review in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Edwin Aguirre-MilachayHospital Nacional Almanzor Aguinaga Asenjo, EsSalud, Chiclayo 14001, Peru.ORCID 0000-0001-9595-8876
Mario J Valladares-GarridoEscuela de Medicina Humana, Universidad Señor de Sipán, Chiclayo 14001, Peru.
Nallely V Chapoñan-AgipCHANGE Research Working Group, Carrera de Medicina Humana, Universidad Científica del Sur, Lima 15001, Peru.
Nelson Luis Cahuapaza-GutierrezCHANGE Research Working Group, Carrera de Medicina Humana, Universidad Científica del Sur, Lima 15001, Peru.ORCID 0000-0002-1228-1941
Betzy C Torres-ZegarraCHANGE Research Working Group, Carrera de Medicina Humana, Universidad Científica del Sur, Lima 15001, Peru.
Milagros Diaz-TorresFacultad de Medicina Humana, Universidad de San Martín de Porres, Chiclayo 14001, Peru.ORCID 0000-0003-2560-3943
Darwin A León-FigueroaUnidad de Posgrado y Especialización, Tecnologías Avanzadas para la Salud con enfoque en Inteligencia Artificial, Bioinformática y TIC, Universidad Peruana Cayetano Heredia, Lima 15102, Peru.ORCID 0000-0001-7267-0204
Fernando M Runzer-ColmenaresCHANGE Research Working Group, Carrera de Medicina Humana, Universidad Científica del Sur, Lima 15001, Peru.ORCID 0000-0003-4045-0260

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOlder adults with cancer are at increased risk of severe treatment-related toxicity. CARG, CRASH, and CARG-BC were developed as toxicity-risk prediction models, whereas G8 was developed as a geriatric screening instrument but has also been evaluated as a predictor of treatment-related toxicity. This study aimed to assess, separately for each instrument, the accuracy with which these tools identify older adults who develop severe chemotherapy-related toxicity.

methodsA systematic review and meta-analysis were conducted in accordance with PRISMA 2020 guidelines. Seven databases were searched through May 2026 for observational studies evaluating the predictive accuracy of the CARG, CRASH, CARG-BC and G8 tools in patients aged ≥65 years initiating chemotherapy. Pooled sensitivity and specificity with 95% confidence intervals (CIs) were calculated, and ROC curves were constructed. Risk of bias was assessed using QUADAS-2 and certainty of evidence was evaluated using GRADE.

resultsTwenty-one studies were included, with an overall toxicity prevalence of 52.6%. CARG demonstrated a pooled sensitivity of 79.7% and specificity of 38.3% (AUC = 0.632). CRASH showed sensitivity of 86.9% and specificity of 68.2% (AUC = 0.866), but estimates were based on only four studies. CRASH hematological toxicity showed sensitivity of 75.9% and specificity of 53.1% (AUC = 0.694), with substantial heterogeneity. G8 yielded sensitivity of 69.5% and specificity of 41.5% (AUC = 0.666). CARG-BC showed sensitivity of 83.3% and specificity of 54.4% (AUC = 0.763), based on two breast cancer studies. Certainty of evidence ranged from low to very low.

conclusionsThe instruments have distinct purposes and were not pooled against one another. CARG and G8 may be useful for initial risk screening, whereas CRASH showed a more balanced profile but remains supported by limited evidence. None should be used as a stand-alone basis to withhold or modify treatment.

Indexed as

cancerchemotherapy toxicityfrail elderlySystematic Review (source: MeSH NLM)

Identifiers

PMID42588695
PMCPMC13463990

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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.