Evidence map›Paper›PMID 26758276›Full record

ArticleJournal of cancer research and clinical oncology2016

Development of an oncological-multidimensional prognostic index (Onco-MPI) for mortality prediction in older cancer patients.

Antonella Brunello, Andrea Fontana, Valeria Zafferri, Francesco Panza, Pasquale Fiduccia, Umberto Basso, Massimiliano Copetti, Sara Lonardi, Anna Roma, Cristina Falci and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
4.7field-weighted citation impact, top 6% of its field
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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 59 citations in OpenAlex.

  1. Pooled it
  2. Practical Assessment and Management of Vulnerabilities in Older Patients Receiving Chemotherapy: ASCO Guideline for Geriatric Oncology.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2018
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  16. Integrating Geriatric Assessment Measures into National Cancer Institute Clinical Trials.Journal of the National Cancer Institute. Monographs · 2022
    Article
  17. Expert consensus to optimize the treatment of elderly patients with luminal metastatic breast cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2022
    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

14 authors at 4 institutions in 1 country.

Antonella BrunelloDepartment of Clinical and Experimental Oncology, Medical Oncology 1, Istituto Oncologico Veneto IOV - IRCCS, Padua, Italy. antonella.brunello@ioveneto.it.ORCID http://orcid.org/0000-0003-2583-5226
Andrea FontanaIRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Foggia, Italy.
Valeria ZafferriDepartment of Clinical and Experimental Oncology, Medical Oncology 1, Istituto Oncologico Veneto IOV - IRCCS, Padua, Italy.
Francesco PanzaIRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Foggia, Italy.
Pasquale FiducciaDepartment of Clinical and Experimental Oncology, Medical Oncology 1, Istituto Oncologico Veneto IOV - IRCCS, Padua, Italy.
Umberto BassoDepartment of Clinical and Experimental Oncology, Medical Oncology 1, Istituto Oncologico Veneto IOV - IRCCS, Padua, Italy.
Massimiliano CopettiIRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Foggia, Italy.
Sara LonardiDepartment of Clinical and Experimental Oncology, Medical Oncology 1, Istituto Oncologico Veneto IOV - IRCCS, Padua, Italy.
Anna RomaDepartment of Clinical and Experimental Oncology, Medical Oncology 1, Istituto Oncologico Veneto IOV - IRCCS, Padua, Italy.
Cristina FalciMedical Oncology 2, Istituto Oncologico Veneto IOV- IRCCS, Padua, Italy.
Silvio MonfardiniIRCCS Fondazione Don Gnocchi, Milan, Italy.
Alberto CellaDepartment of OrthoGeriatrics, Rehabilitation and Stabilization, Frailty Area, NR-HS Galliera Hospital, Genoa, Italy.
Alberto PilottoDepartment of OrthoGeriatrics, Rehabilitation and Stabilization, Frailty Area, NR-HS Galliera Hospital, Genoa, Italy.
Vittorina ZagonelDepartment of Clinical and Experimental Oncology, Medical Oncology 1, Istituto Oncologico Veneto IOV - IRCCS, Padua, Italy.
Istituto Oncologico Veneto · ITCasa Sollievo della Sofferenza · ITEnte Ospedaliero Ospedali Galliera · ITDon Carlo Gnocchi Foundation · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeA multidimensional prognostic index (MPI) based on a comprehensive geriatric assessment (CGA) has been developed and validated in independent cohorts of older patients demonstrating good accuracy in predicting one-year mortality. The aim of this study was to develop a cancer-specific modified MPI (Onco-MPI) for mortality prediction in older cancer patients.

methodsWe enrolled 658 new cancer subjects ≥70 years (mean age 77.1 years, 433 females, 65.8 %) attending oncological outpatient services from September 2004 to June 2011. The Onco-MPI was calculated according to a validated algorithm as a weighted linear combination of the following CGA domains: age, sex, basal and instrumental activities of daily living, Eastern Cooperative Oncology Group performance status, mini-mental state examination, body mass index, Cumulative Illness Rating Scale, number of drugs and the presence of caregiver. Cancer sites (breast 46.5 %, colorectal 21.3 %, lung 6.4 %, prostate 5.5 %, urinary tract 5.0 %, other 15.3 %) and cancer stages (I 37 %, II 22 %, III 19 %, IV 22 %) were also included in the model. All-cause mortality was recorded. Three grades of severity of the Onco-MPI score (low risk: 0.0-0.46, medium risk: 0.47-0.63, high risk: 0.64-1.0) were calculated using RECPAM method. Discriminatory power and calibration were assessed by estimating survival C-indices, along with 95 % confidence interval (CI) and the survival-based Hosmer-Lemeshow (HL) measures.

resultsOne-year mortality incidence rate was 17.4 %. A significant difference in mortality rates was observed in Onco-MPI low risk compared to medium- and high-risk patients (2.1 vs. 17.7 vs. 80.8 %, p < 0.0001). The discriminatory power of one-year mortality prediction of the Onco-MPI was very good (survival C-index 0.87, 95 % CI 0.84-0.90) with an excellent calibration (HL p value 0.854).

conclusionOnco-MPI appears to be a highly accurate and well-calibrated predictive tool for one-year mortality in older cancer patients that can be useful for clinical decision making in this age group.

Indexed as

Severity of Illness IndexActivities of Daily LivingAgedAged, 80 and overFemaleFollow-Up StudiesGeriatric AssessmentHealth Status IndicatorsHospitalizationHumansIndependent LivingMaleNeoplasmsNeoplasm StagingPrognosisRisk AssessmentCancerComprehensive geriatric assessment (CGA)ElderlyMortalityMultidimensional prognostic index (MPI)Prognosis

Identifiers

PMID26758276
PMCPMC4828483
OpenAlexW2237928188

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.