Evidence map›Paper›PMID 32811435›Full record

ArticleBMC geriatrics2020

Comprehensive geriatric assessment in older patients with cancer: an external validation of the multidimensional prognostic index in a French prospective cohort study.

Evelyne Liuu, Chunyun Hu, Simon Valero, Thomas Brunet, Amelie Jamet, Marie-Laure Bureau, Alberto Pilotto, Pierre-Jean Saulnier, Marc Paccalin

Abstract read
In one paragraph

Article in BMC geriatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 pooled it
–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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Observational
  6. Article
  7. Comprehensive geriatric assessment to predict adverse events in elderly patients undergoing posterior lumbar fusion surgery.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2024
    Article
  8. Observational
  9. Article
  10. Article
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

9 authors.

Evelyne LiuuDepartment of Geriatrics, Poitiers University Hospital, Poitiers, France. Evelyne.liuu@chu-poitiers.fr.ORCID 0000-0003-2758-5064
Chunyun HuDepartment of Geriatrics, Poitiers University Hospital, Poitiers, France.
Simon ValeroDepartment of Geriatrics, Poitiers University Hospital, Poitiers, France.
Thomas BrunetDepartment of Geriatrics, Poitiers University Hospital, Poitiers, France.
Amelie JametDepartment of Geriatrics, Poitiers University Hospital, Poitiers, France.
Marie-Laure BureauDepartment of Geriatrics, Poitiers University Hospital, Poitiers, France.
Alberto PilottoDepartment Geriatric Care, Orthogeriatrics and Rehabilitation, Frailty Area, E.O. Galliera Hospital, Genova, Italy.
Pierre-Jean SaulnierClinical Investigation Centre CIC1402, CHU Poitiers, University of Poitiers, INSERM, Poitiers, France.
Marc PaccalinDepartment of Geriatrics, Poitiers University Hospital, Poitiers, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOlder patients with cancer require specific and individualized management. The 3-group Multidimensional Prognostic Index (MPI) based on the Comprehensive Geriatric Assessment (CGA) has shown a predictive interest in terms of mortality. The objective of our study was to assess the prognostic value of MPI for 1-year mortality in an external prospective French cohort of elderly patients with cancer.

methodsFrom March 2015 to March 2017 a prospective single-center cohort study enrolled all patients with cancer, aged 75 years and older referred to the geriatric oncology clinic. We used a proportional hazard model for 1-year mortality adjusted for age, sex, tumor sites and metastatic status. C-statistics were used to assess the incremental predictive value of MPI index to these risk factors.

resultsoverall, 433 patients underwent CGA with MPI (women 42%; mean age 82.8 ± 4.8 years). The most common tumor sites were prostate (23%), skin (17%), colorectum (15%) and breast (12%); 29% of patients had a metastatic disease; 231 patients (53%) belonged to the "MPI-1" group, 172 (40%) to the "MPI-2" group and 30 patients were classified in the "MPI-3" group. One-year mortality rate was 32% (23% in MPI-1, 41% in MPI-2 and 53% in MPI-3, p = 0.024). All domains of MPI except cognition and living status were significantly associated with mortality at one-year, as well as tumor sites and metastatic status. Higher MPI was associated with a higher mortality risk (adjusted HR 1.56 [95%CI 1.70-2.09] and 1.72 [1.33-2.22] for MPI groups 2 and 3 compared to 1; p < 0.0001).

conclusionsIn addition to established risk factors, MPI improves risk prediction of 1-year mortality. This practical prognostic tool may help to optimize management of these vulnerable patients.

Indexed as

Geriatric AssessmentNeoplasmsAgedAged, 80 and overCohort StudiesFemaleHumansMalePrognosisProspective StudiesRisk FactorsAgedComprehensive geriatric assessmentMortalityNeoplasms

Identifiers

PMID32811435
PMCPMC7433061

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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.