Evidence map›Paper›PMID 30382001›Full record

Observational studyRejuvenation research2019

Development and Validation of a Self-Administered Multidimensional Prognostic Index to Predict Negative Health Outcomes in Community-Dwelling Persons.

Alberto Pilotto, Nicola Veronese, Katerin Leslie Quispe Guerrero, Sabrina Zora, An L D Boone, Matteo Puntoni, Angela Giorgeschi, Alberto Cella, Ines Rey Hidalgo, Yves-Marie Pers and 4 more

Abstract readObservational StudyValidation Study
In one paragraph

Observational study in Rejuvenation research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Alberto Pilotto1Department of Geriatric Care, Orthogeriatrics and Rehabilitation, EO Galliera Hospital, National Relevance and High Specialization Hospital, Genova, Italy.
Nicola Veronese1Department of Geriatric Care, Orthogeriatrics and Rehabilitation, EO Galliera Hospital, National Relevance and High Specialization Hospital, Genova, Italy.
Katerin Leslie Quispe Guerrero1Department of Geriatric Care, Orthogeriatrics and Rehabilitation, EO Galliera Hospital, National Relevance and High Specialization Hospital, Genova, Italy.
Sabrina Zora1Department of Geriatric Care, Orthogeriatrics and Rehabilitation, EO Galliera Hospital, National Relevance and High Specialization Hospital, Genova, Italy.
An L D Boone2FICYT Foundation for Applied Scientific Research and Technology in Asturias, Oviedo, Spain.
Matteo Puntoni3Scientific Coordination Unit, EO Galliera Hospital, Genova, Italy.
Angela Giorgeschi1Department of Geriatric Care, Orthogeriatrics and Rehabilitation, EO Galliera Hospital, National Relevance and High Specialization Hospital, Genova, Italy.
Alberto Cella1Department of Geriatric Care, Orthogeriatrics and Rehabilitation, EO Galliera Hospital, National Relevance and High Specialization Hospital, Genova, Italy.
Ines Rey Hidalgo2FICYT Foundation for Applied Scientific Research and Technology in Asturias, Oviedo, Spain.
Yves-Marie Pers4Clinical Immunology and Osteoarticular Diseases Therapeutic Unit, Rheumatology Department, Lapeyronie University Hospital, Montpellier, France.
Alberto Ferri1Department of Geriatric Care, Orthogeriatrics and Rehabilitation, EO Galliera Hospital, National Relevance and High Specialization Hospital, Genova, Italy.
Jose Ramon Hevia Fernandez5Health Promotion Service, Public Health General Directorate, Principality of Asturias, Spain.
Marta Pisano Gonzalez6SESPA, Health Service of the Principality of Asturias, Oviedo, Spain.
EFFICHRONIC Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The multidimensional prognostic index (MPI) is a comprehensive geriatric assessment (CGA)-based tool that accurately predicts negative health outcomes in older subjects with different diseases and settings. To calculate the MPI several validated tools are assessed by health care professionals according to the CGA, whereas self-reported information by the patients is not available, but it could be of importance for the early identification of frailty. We aimed to develop and validate a self-administered MPI (SELFY-MPI) in community-dwelling subjects. For this reason, we enrolled 167 subjects (mean age = 67.3, range = 20-88 years, 51% = men). All subjects underwent a CGA-based assessment to calculate the MPI and the SELFY-MPI. The SELFY-MPI included the assessment of (1) basic and instrumental activities of daily living, (2) mobility, (3) memory, (4) nutrition, (5) comorbidity, (6) number of medications, and (7) socioeconomic situation. The Bland-Altman methodology was used to measure the agreement between MPI and SELFY-MPI. The mean MPI and SELFY-MPI values were 0.147 and 0.145, respectively. The mean difference was +0.002 ± standard deviation of 0.07. Lower and upper 95% limits of agreement were -0.135 and +0.139, respectively, with only 5 of 167 (3%) of observations outside the limits. Stratified analysis by age provided similar results for younger (≤65 years old,

Indexed as

Independent LivingPublic HealthSelf AdministrationActivities of Daily LivingAgedAged, 80 and overFemaleHumansMaleMiddle AgedPrognosisall-cause mortalitycomprehensive geriatric assessmentmultidimensional prognostic indexrisk factorself-assessmentsocioeconomic analysis

Identifiers

PMID30382001
PMCPMC6763964

What OpenQuestion holds

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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.