Evidence map›Paper›PMID 34203781›Full record

ArticleJournal of clinical medicine2021

Multidimensional Prognostic Index and Mortality in Intermediate Care Facilities: A Retrospective Study.

Nicola Veronese, Stefano Vianello, Claudia Danesin, Florina Tudor, Gianfranco Pozzobon, Alberto Pilotto

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Palliative Care for Patients with Kidney Disease.Journal of clinical medicine · 2022
    Review
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

6 authors.

Nicola VeroneseAzienda ULSS (Unità Locale Socio Sanitaria) 3 "Serenissima", 30174 Venice, Italy.ORCID 0000-0002-9328-289X
Stefano VianelloAzienda ULSS (Unità Locale Socio Sanitaria) 3 "Serenissima", 30174 Venice, Italy.
Claudia DanesinAzienda ULSS (Unità Locale Socio Sanitaria) 3 "Serenissima", 30174 Venice, Italy.
Florina TudorAzienda ULSS (Unità Locale Socio Sanitaria) 3 "Serenissima", 30174 Venice, Italy.
Gianfranco PozzobonAzienda ULSS (Unità Locale Socio Sanitaria) 3 "Serenissima", 30174 Venice, Italy.
Alberto PilottoDepartment Geriatric Care, Orthogeriatrics and Rehabilitation, Frailty Area, E.O. Galliera Hospital, 16128 Genova, Italy.

Funding

società italiana geriatria ospedale e territorio n/a
6 · The paper itself

Abstract

Multidimensional prognostic index (MPI) is a frailty assessment tool used for stratifying prognosis in older hospitalized people, but data regarding older people admitted to intermediate care facilities (ICFs) are missing. The aim of this study is to evaluate whether MPI can predict mortality in older patients admitted to the ICFs. MPI was calculated using different domains explored by a standard comprehensive geriatric assessment and categorized into tertiles (MPI-1 ≤ 0.20, MPI-2 0.20-0.34, MPI-3 > 0.34). A Cox's regression analysis, taking mortality as the outcome, was used, reporting the results as hazard ratios (HRs) with 95% confidence intervals (CIs). In total, 653 older patients were enrolled (mean age: 82 years, 59.1% females). Patients in MPI-2 (HR = 3.66; 95%CI: 2.45-5.47) and MPI-3 (HR = 6.22; 95%CI: 4.22-9.16) experienced a higher risk of mortality, compared to MPI-1. The accuracy of MPI in predicting mortality was good (area under the curve (AUC) = 0.74, 95%CI: 0.70-0.78). In conclusion, our study showed that prognostic stratification, as assessed by the MPI, was associated with a significantly different risk of mortality in older patients admitted to the ICFs, indicating the necessity of using a CGA-based tool for better managing older people in this setting as well.

Indexed as

intermediate caremortalitymultidimensional prognostic indexprognosis

Identifiers

PMID34203781
PMCPMC8232637

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.